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Faculty of information studies

Ljubljanska cesta 31A, SI-8000 Novo mesto, Slovenia, T: +386 7 37 37 884, F: +386 59 08 79 03, E: [email protected],

www.fis.unm.si

Course

Catalogue

Faculty of Information studies

2016/2017



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Table of Contents 1st cycle PROFESSIONAL study programme – Informatics in Contemporary Society (VS) ..... 2

1st cycle ACADEMIC study programme – Informatics in Contemporary Society (UN) .......... 2

Introduction to Algorithms ............................................................................................................ 3

Web Programming ........................................................................................................................ 7

eBusiness ........................................................................................................................................ 10

Analysis of Networks .................................................................................................................... 15

Introduction to Informatics ......................................................................................................... 20

Data Bases and Data Analysis ................................................................................................... 24

Multivariate Analysis .................................................................................................................... 29

Methodology in Social Sciences................................................................................................ 34

Social Theory ................................................................................................................................. 39

The Structure of Slovenian Society ............................................................................................ 44

Political Systems and Policy Analysis ......................................................................................... 49

Research Practice ....................................................................................................................... 54

Operation Systems ....................................................................................................................... 57

Introduction to Programming ..................................................................................................... 61

1st cycle study programme – Computer Science and Web Technologies ( RST) ................. 65

Operating systems ....................................................................................................................... 66

Introduction to Algorithms .......................................................................................................... 70

Electronic Communication and Literacy ................................................................................. 74

Web Programming 1 ................................................................................................................... 78

Computer Networks..................................................................................................................... 82

Introduction to Informatics ......................................................................................................... 87

Introduction to Programming ..................................................................................................... 92

2st cycle study programme – Informatics in Contemporary society (MAG) ......................... 96

Testing, Evaluation and Auditing of Information Systems ....................................................... 97

Social Aspects of Information Technologies .......................................................................... 101

Managment Information Systems ............................................................................................ 106

Decision Support Systems ......................................................................................................... 111

Thesis Seminar ............................................................................................................................. 115

Contemporary Social Theories ................................................................................................. 120



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1st cycle PROFESSIONAL study programme – Informatics in Contemporary Society (VS)

and

1st cycle ACADEMIC study programme – Informatics in Contemporary Society (UN)



www.fis.unm.si

Introduction to Algorithms

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Uvod v algoritme Course title: Introduction to Algorithms

Študijski program in stopnja Study programme and level

Študijska smer Study field

Letnik Academic

year

Semester Semester

Informatika v sodobni družbi, visokošolski strokovni in univerzitetni študijski program prve stopnje

- Drugi ali tretji

Četrti ali šesti

Informatics in Contemporary Society, first cycle Professional Study Programme and Academic Study programme

- Second or

third Fourth or

sixth

Vrsta predmeta / Course type Izbirni / Elective Univerzitetna koda predmeta / University course code:

1-ISD-VS, UN-IP-UA-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work

Druge oblike študija

Samost. delo

Individ. work

ECTS

30 - - - 45 105 6 Nosilec predmeta / Lecturer: doc. dr. Biljana Mileva Boshkoska Jeziki / Languages:

Predavanja / Lectures:

Slovenski / Slovenian, Angleški / English

Vaje / Tutorial: Slovenski / Slovenian, Angleški / English Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:

Prerequisits:

Pogoj za vključitev v delo je vpis v 1. letnik študija, ustrezna prisotnost na vajah in zagovorjena seminarska naloga.

Enrolment into the first year of the study programme, appropriate presence during the lab work and finished student project.



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Vsebina: Content (Syllabus outline): Vloga algoritmov v računalništvu.

• Pregled algoritmov in njihovo mesto v sodobnih računalniških sistemih.

• Definicija algoritma in primeri. • Algoritmi kot tehnologija (njihova

uporaba v strojni opremi, grafičnih uporabniških vmesnikih, objektno orientiranih sistemih in omrežjih).

Uvedba osnovnih algoritemskih pristopov v psevdo jeziku.

• Določitev vhodov in izhodov v algoritmu.

• For zanke. • While zanke. • If then pravila odločanja.

Predstavitev funkcij preko algoritmov

• Prvi algoritem, ki rešuje problem sortiranja zaporedja od n številk z uporabo psevdokoda.

• Definiranje strukture algoritma, tako da ga lahko študent/študentka uporabi v jeziku po svoji izbiri.

• Dva različna tipa algoritmov za sortiranje: pojasnjuje postopen pristop s pomočjo vstavitve vrste in rekurzivna tehnika z zlivanjem, "deli in vladaj".

• Naučiti se, kako izračunati čas izvršitve algoritmov, ko se vrednost n povečuje.

• Razviti koristen zapis, ki izrazi časovno izvedbo algoritmov.

Predstavitev osnovnih podatkovnih struktur in algoritmov za delo z njimi.

• Tabele. • Seznami. • Skladi. • Kopice.

The Role of Algorithms in Computing. • Overview of algorithms and their

place in modern computing systems. • Defenition of algorithm and

examples. • Algorithmes as technology (their

usage in hardware, graphical user interfaces, objectoriented systems, and networks).

Introduction of basic algorithmic approaches in pseudo language.

• Define inputs and outputs in the algorithm.

• For loops. • While loops. • If then decision rules.

Function representation and their growth with algorithms.

• A first algorithm that solves the problem of sorting a sequence of n numbers using pseudocode.

• Explaining the structure of the algorithm so that a student can implement it in the language of his/hers choice.

• Diferent sorting algorithms: explaining the incremental approach through insertion sort, and a recursive technique through merge sort, "divide and conquer."

• Learn how to calculate the execution time of the algorithms when the value of n increases,

• Develop a useful notation to express the time execution of algorithms.

Introduction of basic data structures and algorithms with them.

• Tables. • Lists. • Stacks. • Heaps.



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Temeljni literatura in viri / Readings: • KONONENKO, IGOR (1996) Načrtovanje podatkovnih struktur in algoritmov. Ljubljana,

Založba FER in FRI. • KOZAK, JERNEJ (1986) Podatkovne strukture in algoritmi, Ljubljana, DMFA. • WIRTH, NIKLAUS (1985) Računalniško programiranje I. Ljubljana: DMFA. • WIRTH, NIKLAUS (1985) Računalniško programiranje II. Ljubljana: DMFA. • CORMEN, THOMAS, LEISERSON, CHARLES, RIVEST, RONALD in STEIN, CLIFFORD (2001)

Introduction to Algorithms, 2. izdaja, MIT Press, Cambridge. Cilji in kompetence:

Objectives and competences:

Učna enota prispeva k razvoju naslednjih splošnih in predmetno-specifičnih kompetenc: Splošne kompetence:

• poznavanje osnov računalništva in informacijske tehnologije

• usposobljenost za izvajanje vseh faz razvoja računalniških aplikacij: načrtovanje, razvoj, zagon, prodaja, vzdrževanje

Predmetno-specifične kompetence:

• poznavanje osnovnih podatkovnih struktur in računalniških algoritmov

• sposobnost samostojnega reševanja realnih problemov z uporabo primernih podatkovnih struktur in algoritmov

The instructional unit contributes to the development of the following general and subject-specific competences: General competences:

• familiarity with the basics of computer science and information technology

• competence to carry out all phases in the development of computer applications: planning, development, start-up, sales, maintenance

Subject-specific competences:

• familiarity with basic data structures and computer algorithms

• ability to independently solve real problems by using adequate data structures and algorithms

Predvideni študijski rezultati:

Intended learning outcomes:

Znanje in razumevanje: Študent/študentka:

• razvije sposobnost logičnega razmišljanja in reševanja problemov z uporabo standardnih podatkovnih struktur in algoritmov

Knowledge and understanding: The student:

• develops the ability of logical thinking and problem solving with the use of standard data structures and algorithms



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Metode poučevanja in učenja: Learning and teaching methods: • predavanja z aktivno udeležbo

študentov (razlaga, diskusija, vprašanja, primeri, reševanje problemov)

• vaje, kjer bodo študentje na konkretnih problemih ponovili, utrdili in dodatno osvetlili pojme in metode, spoznane na predavanjih

• kolokviji: z njimi bodo študentje stimulirani, da sproti študirajo snov, ki bo obravnavana na predavanjih in vajah

• lectures with active student participation (explanation, discussion, questions, examples, problem solving)

• lab work, during which the students will use practical problems to repeat and strengthen the topics and methods presented at the lectures

• midterm exams will stimulate the students to study concurrently with lectures and lab work

Načini ocenjevanja:

Delež (v %) / Weight (in %)

Assessment:

Način (pisni izpit, ustno izpraševanje, naloge, projekt):

• pisni izpit • vaje

50 50

Type (examination, oral, coursework, project):

• written exam • lab work

Reference nosilca / Lecturer's references: • MILEVA BOSHKOSKA, Biljana, DAMIJ, Talib, JELENC, Franc, DAMIJ, Nadja. Abdominal

surgery process modeling framework for simulation using spreadsheets. Computer methods and programs.

• MILEVABOSHKOSKA, Biljana, BOHANEC, Marko, BOŠKOSKI, Pavle, JURIČIĆ, Đani. Copula based decision support system for quality ranking in the manufacturing of electronically commutated motors. Journal of intelligent manufacturing, 2015, vol. 26, no. 2, str. 281 – 293.

• MILEVA BOSHKOSKA, Biljana, BOŠKOSKI, Pavle, DEBENJAK, Andrej, JURIČIĆ, Đani. Dependence among complex random variables as a fuel cell condition indicator. Journal of power sources, jun. 2015, vol. 284, str. 566-573,

• ŠUBELJ, Lovro, BAJEC, Marko, MILEVA BOSHKOSKA, Biljana, KASTRIN, Andrej, LEVNAJIĆ, Zoran. Quantifying the consistency of scientific databases. PloS one, 2015, vol. 10, no. 5, str. 116.



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Web Programming

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Spletno programiranje Course title: Web Programming



Letnik Academic

year

Semester Semester


- Drugi Četrti


- Second Fourth

Vrsta predmeta / Course type Obvezni / Obligatory Univerzitetna koda predmeta / University course code:

1-ISD-VS,UN-SP-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - - - 45 105 6 Nosilec predmeta / Lecturer: doc. dr. Martin Žnidaršič Jeziki / Languages:


Slovenski, angleški / Slovene, English

Vaje / Tutorial: Slovenski, angleški / Slovene, English Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:

Prerequisits:

Pogoj za vključitev v delo je vpis v 2. letnik študija. Pogoj za opravljanje študijskih obveznosti je izdelana seminarska naloga.

The condition for attendance is enrolment in the 2nd year of studies. The exam condition is a finished seminar paper.



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Vsebina: Content (Syllabus outline): • Sodobne spletne tehnologije. Osnove

spletnega okolja. • Elementi spletne strani. Jezik HTML.

Oznake HTML. Formularji in dogodki. • Osnove slogovnih predlog CSS. • Jezik XML. • Osnove DTD. Validacija XML in XHTML. • Spletno programiranje pri klientu. Jezik

JavaScript in objektni model DOM. • Spletno programiranje na streţniku.

Jezik PHP. • Osnove relacijskih podatkovnih baz. • Poizvedovalni jezik SQL. Uporaba

podatkovnih baz v spletnih aplikacijah. • Spletna ogrodja. Primer ogrodja

(Django).

• Contemporary web technologies. Fundamentals of a web environment.

• Web page elements. The HTML language. HTML tags. Forms and events.

• Cascading style sheet (CSS) fundamentals.

• The XML language. • DTD fundamentals. Validation of XML

and XHTML. • Client based web. programming.

JavaScript programming language and the DOM object model.

• Server based web programming. The PHP language.

• Relational database fundamentals. • The SQL query language. Use of

databases in web applications. • Web frameworks. Web application

development examples (Django). Temeljni literatura in viri / Readings: • Oliver, D., Morrison, M. (2006): HTML and CSS in 24 hours. Indianapolis: Sams. • Young, M.J. (2002): XML: step by step, 2nd Edition. Redmond: Microsoft Press. • Disbrow, S.W. (2001): JavaScript Weekend Crash Course. Hungry Minds. • Goodman, D., Morrison, M. (2004): JavaScript Bible, 5th Edition. Indianapolis : Wiley

Publishing. • Hribar, P. (1998): Spoznajmo JavaScript: programiranje spletnih strani. Nova Gorica:

Flamingo. • Štrancar, M., Klemen, S. (2005): PHP in MySQL na spletnem streţniku Apache, druga

izdaja. Zaloţba Pasadena. • Welling, L., Thomson, L. (2008): PHP and MySQL Web Development. Addison-Wesley

Professional. Cilji in kompetence:


Učna enota prispeva k razvoju naslednjih splošnih in predmetno specifičnih kompetenc:

• sposobnost povezovanja koherentno obvladanega temeljnega znanja, pridobljenega pri obveznih predmetih, ter njegova uporaba v praksi

• zmožnost zapisati problem v obliki algoritma in pretvorba algoritma v računalniški program z uporabo sodobnih programskih orodij

The instructional unit contributes to the development of the following general and subject-specific competences:

• the ability to interconnect and apply the coherently absorbed fundamental knowledge from the compulsory courses

• the ability to describe a problem in algorithm form and convert the algorithm into a computer programme using contemporary programming tools



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• razumevanje računalniških sistemov in arhitektur

• comprehension of computer systems and architectures




• razvije logično razmišljanje in sposobnosti načrtovanja programov

• razume pomen načrtovanja in testiranja programske opreme

• zmore dekompozicijo večjega problema na več manjših in obvladljivih

• razume, kako deluje internet • operativno pozna programske jezike

za spletno programiranje • spozna razmerja oblika-funkcija • je sposoben izdelati dinamično

spletno stran

Knowledge and understanding: Student:

• develops logical thinking and software design abilities

• understands the importance of design and testing of software

• is able to decompose a large problem into several smaller, controllable problems

• understands the basic internet technologies

• has operative knowledge of web programming languages

• learns about the form-function relationship

• is able to produce a dynamic web page

Metode poučevanja in učenja:

Learning and teaching methods:

• predavanja z aktivno udeležbo študentov (razlaga, diskusija, vprašanja, primeri, reševanje problemov)


• seminarske naloge: z njimi bodo študentje stimulirani, da sami preizkusijo snov, ki bo obravnavana na predavanjih in vajah

• lectures with active participation of students (explanations, questions, cases, problem solving)

• lab work: where students will use practical cases to refresh, reinforce and gain addition insight into the ideas and methods they’ve encountered at lectures

• seminar papers: will stimulate the students to apply and test the knowledge gained at lectures and lab work



Assessment:


• pisni/ustni izpit • domače naloge • seminarska naloga

Študent lahko pristopi k pisnemu izpitu po opravljenih domačih nalogah in seminarski nalogi, pri

50 30 20


• written/oral exam • homeworks • seminar paper

Student can take part in the written exam, after he/she completes his/her homeworks and the seminar paper



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katerih mora doseči vsaj 50% uspešnost.

with at least 50% success.

Reference nosilca / Lecturer's references: • Smailović, JASMINA, Žnidaršič, MARTIN in Grčar, MIHA (2011) Web-based experimental

platform for sentiment analysis. V: Mertik, MATEJ (ur.) The proceedings of the 3rd International Conference on Information Society and Information Technologies - ISIT 2011, Novo mesto: Faculty of Information Studies.

• Smailović, JASMINA, Grčar, MIHA, Lavrač, NADA in Žnidaršič, MARTIN (2013) Predictive sentiment analysis of tweets : a stock market application. Lecture notes in computer science, 7947, str. 77-88.

• Žnidaršič, MARTIN, Bohanec, MARKO in Zupan, BLAŽ (2006) proDEX - a DSS tool for environmental decision-making. Environmental Modelling & Software, 21, str. 1514–1516.

• Bohanec, MARKO, Cortet, Jérôme, Griffiths, Bryan, Žnidaršič, MARTIN, Debeljak, MARKO, Caul, SANDRA, Thompson, Jacqueline in Krogh, PAUL H. (2007) A qualitative multi-attribute model for assessing the impact of of cropping systems to soil quality. Pedobiologia, 51 (3), str. 239 - 250. Dopolnilna spletna aplikacija dostopna na: http://ai.ijs.si/MarkoBohanec/ESQI/ESQI.php.

eBusiness

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: ePoslovanje Course title: eBusiness



Letnik Academic

year

Semester Semester


- Tretji Peti


- Third Fifth


1-ISD-VS,UN-eP-2015-10-01



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Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - - - 45 105 6 Nosilec predmeta / Lecturer: izr. prof. dr. Nadja Damij Jeziki / Languages:




Prerequisits:

Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati seminarsko nalogo.

Before taking the exam the student must successfully prepare and present the seminar work task.

Vsebina:

Content (Syllabus outline):

• Nove oblike organizacije v informacijski družbi. Ključne lastnosti informacijske družbe.

• Elektronske oblike poslovanja in pomen interneta.

• Virtualni tipi organizacij in menedžerski procesi.

• E-poslovanje. Ključni koncepti, zgodovinski razvoj, stanje, trendi in perspektive.

• Oprema za podporo e-poslovanju. Strojna oprema, komunikacijska in programska oprema.

• Strežnik/odjemalec in komponentna arhitektura. Portali. Sistemi ERP.

• Poslovni modeli v e-poslovanju. Priprava konkretne organizacije na uvajanje in izvedbo e-poslovanja.

• Poslovni procesi med organizacijami. Vrste in oblike e-poslovanja.

• Internetni plačilni sistemi. Udeleženci, poslovne transakcije in varnostni standardi.

• Oskrbovalne verige in odnosovi s

• New forms of organisations in information society. Key elements of information society.

• Electronic ways of business and the importance of the Internet.

• Virtual types of organisations and managerial processes.

• E-business. Key concepts, historical development, status, trends and perspectives.

• Equipment for e-business. Hardware, communication and software equipment. Portals. ERP Systems.

• Business models in e-business. Preparing case organisation to implement and deploy e-business.

• Business processes among organisations. Ways and forms of e-business.

• Internet payment systems. Actors, business transactions and security standards.

• Supply chains and business relationships. Functions and processes of supply chain management and after-sale activities.



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partnerji. Funkcija in procesi obvladovanja oskrbovalnih verig in poprodajnih aktivnosti.

• E-uprava. Tipi e-poslovanja v javni upravi v razmerju med vlado, lokalnimi skupnostmi, organizacijamo in državljani.

• Etika, pravni red, standardi in varnost

• E-government. Types of e-business in public services, government, local communities and citizens.

• Ethics, law, standards and security.

Temeljni literatura in viri / Readings: • Chaffey Dave: Digital Business & E-Commerce Management, 6th Edition. Trans-

Atlantic Publications, 2014.

Cilji in kompetence:


Učna enota prispeva k razvoju naslednjih splošnih in predmetno- specifičnih kompetenc:

• sposobnost fleksibilne uporabe znanja v praksi

• poznavanje pomena kakovosti in prizadevanje za kakovost strokovnega dela skozi avtonomnost, (samo)kritičnost, (samo)refleksivnost in (samo)evalviranje v strokovnem delu

• etična refleksija in zavezanost profesionalni etiki v družbenem okolju s spoštovanjem načela neskriminatornosti in multikulturnosti

• sposobnost uporabe informacijsko-komunikacijske tehnologije in sistemov na področju družbenih ved

• komuniciranje s strokovnjaki iz različnih področij gospodarskega in družbenega življenja ter z različnimi interesnimi skupinami

• razumevanje odnosov med posamezniki, organizacijami in družbenim okoljem, zmožnost za kompleksno sistemsko gledanje in delovanje

• poznavanje in razumevanje teoretičnih osnov analitičnega in svetovalnega dela (prenos znanja


• the ability of flexible knowledge deployment in practise;

• understanding the meaning of quality and achieving quality of work through authonomy, (self)critique, (self)reflexibility and (self)evaluation;

• ethical reflection and commitment to professional ethics in contemporary environment by acknowledging the principles of non-discrimination and multiculture;

• ability to use information and communication technologies and systems in the field of social sciences;

• communicating with experts from economics and social environment and interest groups

• understanding the relationships between individuals, organisations and social environment

• acquiring and understanding theoretical basis of analytical and advisory work

• planning and controling the changes while creating complete assessment within organisation or social environment including different factors



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do uporabnika) • načrtovanje in obvladovanje

sprememb ob oblikovanju celovite ocene stanja v organizaciji ali družbenem okolju z upoštevanjem različnih dejavnikov




• pozna in razume pomen e-poslovanja

• pozna in razume vse ključne zahteve za podporo e-poslovanja

• pridobljeno znanje skupaj z znanjem, pridobljenim pri drugih predmetih, uporablja za osvetlitev interdisciplinarnosti e-poslovanja

• pozna in razume interne in medorganizacijske poslovne procese ter z dejavnike poslovnega okolja, ki so pomembni z vidika izvajanja e-poslovanja

• pozna in razume vpliv e-poslovanja na upravljanje oskrbovalnih verig, na odnose s poslovnimi partnerji

• pozna in razume internetne plačilne sisteme

• uporabi osnovna orodja za vzpostavitev portalnega modela e-poslovanja


• knows and understands the meaning of e-business

• knows and understands all key demands to support e-business

• acquired knowledge together with knowledge acquired in other modules uses to connect the inderdisciplinarity of e-business

• knows and understands internal and external business processes and factors from business environments

• knows and understands the influence of e-business on supply chains, relationships with business partners

• knows and understands internet payment systems

• uses basic tools to create a portal model of e-business



• predavanja (razlaga z diskusijo, demonstriranje praktičnih primerov iz prakse, simulacija in predstavitve...)

• seminarske vaje v povezavi s prakso in predavanji (razpoložljivo programsko orodje za razvoj portala, videokonference, projektno delo, skupinsko delo)

• individualne in skupinske konzultacije (razprava, dodatna razlaga, obravnava specifičnih vprašanj)

• lectures (explanation with discussions, understanding case-studies, presentations...)

• tutorials in connection with lectures and lab exercises (software tools for portal development, videoconferences, project work, group work)

• individual and group consultations (debate, explanations,...)

• individual study (individual usage of tools, encouragement, leadership)



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• samostojen študij (samostojna uporaba dostopnih orodij, spodbujanje, usmerjanje)



Assessment:


• pisni/ustni izpi • seminarska naloga s poročili

seminarskega dela in eksperimentalnih vaj ter predstavitev naloge

50 50


• writen / oral exam • seminar work with reports and

presentations

Reference nosilca / Lecturer's references: • DAMIJ, Nadja, DAMIJ, Talib. Process management : a multi-disciplinary guide to

theory, modeling, and methodology, (Progress in IS). Berlin; Heidelberg: Springer, cop. 2014. XVI, 213 str., ilustr. ISBN 978-3-642-36638-3, doi: 10.1007/978-3-642-36639-0.

• DAMIJ, Nadja. Management poslovnih procesov : modeliranje, simuliranje, inovacija in izboljšanje. Ljubljana: Vega, 2009. 182 str., ilustr. ISBN 978-961-92649-5-9.

• MILEVA-BOSHKOSKA, Biljana, DAMIJ, Talib, JELENC, Franc, DAMIJ, Nadja. Abdominal surgery process modeling framework for simulation using spreadsheets. Computer methods and programs in biomedicine, ISSN 0169-2607. [Print ed.], 2015, vol. 21, iss. 1, str. 1-13, doi: 10.1016/j.cmpb.2015.05.001.

• AGREŽ, Jernej, DAMIJ, Nadja. Knowledge dynamics assessment in complex organizational systems : a missing person investigation case study. Central European Journal of Operations Research, ISSN 1435-246X, 2015, vol. 23, iss. 3, str. 527-545, doi: 10.1007/s10100-014-0368-1.

• DAMIJ, Nadja, LEVNAJIĆ, Zoran, REJEC SKRT, Vesna, SUKLAN, Jana. What motivates us for work?, Intricate web of factors beyond money and prestige. PloS one, ISSN 1932-6203, 2015, vol. 10, no. 7, str. e0132641-1-e0132641-13, doi: 10.1371/journal.pone.0132641.

• DAMIJ, Nadja, DAMIJ, Talib, JELENC, Franc. Healthcare process analysis and improvement at the department of abdominal surgery, University medical centre Ljubljana = Analiza in izboljšanje zdravstvenega procesa v oddelku za abdominalno kirurgijo Univerzitetnega kliničnega centra Ljubljana. Zdravniški vestnik, ISSN 1318-0347. [Tiskana izd.], jan. 2015, letn. 84, št. 1, str. 26-37, ilustr.

• TASEVSKA, Frosina, DAMIJ, Talib, DAMIJ, Nadja. Project planning practices based on enterprise resource planning systems in small and medium enterprises - a case study from the Republic of Macedonia. International journal of project management, ISSN 0263-7863. [Print ed.], 2014, vol. 32, iss. 3, str. 529-538, doi: 10.1016/j.ijproman.2013.08.001.

• DAMIJ, Nadja, DAMIJ, Talib, GRAD, Janez, JELENC, Franc. A methodology for business



www.fis.unm.si

process improvement and IS development. Information and software technology, ISSN 0950-5849. [Print ed.], 2008, vol. 50, str. 1127-1141, doi: 10.1016/j.infsof.2007.11.004.

• ARSHAM, Hossein, CIMPERMAN, Gašper, DAMIJ, Nadja, DAMIJ, Talib, GRAD, Janez. A computer implementation of the Push-and-Pull algorithm and its computational comparison with LP simplex method. Applied mathematics and computation, ISSN 0096-3003. [Print ed.], Nov. 2005, vol. 170, iss. 1, str. 36-63.

Analysis of Networks

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Analiza omrežij Course title: Network Analysis



Letnik Academic

year

Semester Semester


- Drugi Četrti


- Second Fourth


1-ISD-VS,UN-AO-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - - - 45 105 6 Nosilec predmeta / Lecturer: doc. dr Zoran Levnajić Jeziki / Languages:



Vaje / Tutorial: Slovenski, angleški / Slovene, English



www.fis.unm.si

Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:

Prerequisits:

Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati projekt.

Project work has to be prepared and presented before the examination.

Vsebina:


• Uvod − kaj so omrežja in zakaj jih

preučujemo? − šest stopenj ločenosti, pomen

centralnosti − socialna, informacijska, tehnološka

in biološka omrežja, spletni socialni mediji

• Osnovni grafološki koncepti − vozlišče, povezava,

usmerjene/neusmerjene, obtežene/neobtežene povezave, povezana omrežja, glavna komponenta

− stopnja in povprečna stopnja, vhodna in izhoda stopnja

− matrika sosednosti, seznam sosednosti

− elementarni grafi: drvesa, cikli (prstani), kliki, zvezde

− planarna (geografska) omrežja, Eulerov problem Konigsberških mostov

− bipartitna omrežja − multiplex omrežja

• Software za vizualizacijo omrežij − Pajek, Gephi, Cytoscape, NetworkX,

GraphViz, R − računalniška kompleksnost omrežnih

problemov • Osnove teorije omrežij

− koncept statistične obravnave omrežij

− gručenje, najkrajša pot, povprečna najkrajša pot

− premer omrežja, breadth-first iskanje − distribucija stopenj, centralnosti

• Introduction − What are networks and why we

study them? − Six degrees of separation, the

importance of being central − Social, Information, Technological

and Biological Networks, online social media

• Basic Graph Concepts − Node (vertex), link (edge), directed

and non-directed, weighted and non, connected and non, giant connected component

− degree and mean degree, in- and out- degree

− adjacency matrix and adjacency list − simple graphs: trees, cycles (rings),

cliques, stars − planar (geographic) networks, Euler

Konigsberg problem − bipartite networks − multiplex networks

• Network visualization software − Pajek, Gephi, Cytoscape, NetworkX,

GraphViz, R − computational complexity of

networks-related problems • Fundamentals of Network Theory

− concept of statistical treatment of networks

− clustering, shortest path, average shortest paths, diameter, breadth-first search

− degree distribution, Node and link centrality, closeness and betweenness centrality

− simple algorithms: degree



www.fis.unm.si

vozlišča in povezave, closeness in betweenness centralnost

− elementarni algoritmi za obravnavo omrežij: distribucija stopenj, gručenje, najkrajša pot, particija grafa

• Modeli omrežij − Erdos-Renyi naključno omrežje − Small world fenomen, model Watts

in Strogatza − polinomialni zakoni v naravi, model

Barabasija in Alberta, preferencijalno povezovanje

− Zipfov zakon, razlika med eksponentnimi in polinomskimi distribucijami

− geometrijska omrežja, ostali modeli − modeli naraščanja omrežij,

naraščajoča in statična omrežja − naključna omrežja s določenim

stopnjami • Struktura skupnosti

− omrežja s skupnostimi, odkrivanje skupnosti, modularnost in modularna omrežja, motifi, grafki

• Procesi na omrežjih − širjenje bolezni, SIS in SIR modeli,

difuzija, trači, perkolacija, formiranje mnenj, igre

− naključni sprehod, iskanje in navigacija, iskanje po spletu, Google in PageRank algoritmi, decentralizirano iskanje

− odpornost omrežja na nepričakovane izpade in napade

distributions, clustering coefficients, Shortest-path algorithms, Graph partitioning

• Network models

− Erdos-Renyi random networks − Small world phenomena, Watts-

Strogatz model − power laws in nature, Barabasi-Albert

model, preferential attachment and hubs

− Zipf's law, the difference between the exponential and potential distributions

− geometric networks, other network models

− models for network generation and growth, growing vs static networks

− random graphs with a given degree sequence

• Community structure − Networks with communities,

community detection, modularity and modular networks, network motifs, graphlets

• Processes on networks − contagions and SIS/SIR models,

diffusion, rumors, percolation, opinion formation models, games

− random walks, Search and navigation methods, Searching the Web, Google and the PageRank algorithms, Decentralized search

− network resilience to random failures and intentional attacks

Temeljni literatura in viri / Readings: • de Nooy, W., Mrvar, A. in Batagelj, V. (2005). Exploratory Social Network Analysis with

Pajek. New York , NY: Cambridge University Press. • Wasserman, S., Faust, K. in Iacobucci, D. In Granovetter, M. (1999). Social Network

Analysis: Methods and Applications: New York , NY: Cambridge University Press. • Kolaczyk, E. D. (2009). Statistical Analysis of Network Data: Methods and Models. New

York, NY: Springer. • David Easley and Jon Kleinberg (2010). Networks, Crowds, and Markets. Cambridge

University Press. • Mark Newman (2010). Networks: An introduction. Oxford University Press. • S.N.Dorogovtsev (2010). Lecture notes on complex networks. Calderon press, Oxford.



www.fis.unm.si



Učna enota prispeva k razvoju naslednjih splošnih in predmetno-specifičnih kompetenc:

• razumevanje kako so socialni, tehnološki in informacijski sistemi medsebojno povezani. Znanje prispeva k splošnom razumevanju modernega sveta

• razumevanje načinov na katere se skozi družbo širijo socialna in politična gibanja, predvsem v kontekstu spletnih komunikaciji

• obvladovanje kvantitativnih metod v družboslovju, predvsem metod razvitih na podlagi teorije omrežij. Omenjeno znanje pomaga k izbiri ustrezne interpretacije podanih podatkov

• sposobnost fleksibilne uporabe pridobljenega znanja v praksi

• sposobnost pridobivanja, selekcije, ocenjevanja in umeščanja novih informacij in zmožnost interpretacije v kontekstu družboslovja



• understanding the ways in which social, technological and information systems are mutually inter-connected. This contributes towards general understanding of the modern world we live in

• understanding how social and political movements spread through modern societies, particularly in relation to the widening of online communications

• mastering quantitative methods in social sciences, specially those related to network science. This improves the ability to interpret given data in the proper context

• the ability of flexible usage the acquired knowledge in practice

• the ability to acquire, select, evaluate and place new information and the ability to interpret this new information in the context of social science

• the ability to employ ICT systems and methods in social sciences




• se seznani s teoretskimi osnovami in s praktičnimi vidiki statističnih metod iz področja multivariatne statistike

• se seznani z algoritmi za modeliranje velikih socialnih in informacijskih omrežij, predvsem v kontekstu uporabe v realnih primerih

• se seznani z metodami teoretičnega računalništva in analize ter načrtovanja algoritmov na primeru velikih omrežij

• se seznani z algoritmi in metodami


• becomes familiar and learn about Social network analysis

• learns methods and algorithms for analysis and modeling of large social and information networks, experiences the real world applications and learns how to use the existing tools and software packages for socal network analysis

• is informed with teoretical bases and practical views of statistical methods in the field of multivariate statistics



www.fis.unm.si

za analizo socialnih omrežij • spozna računsko zahtevne metode

za analizo malih omrežij, ter hitrejše metode za analizo večjih omrežij

• se usposobi za izvedbo najzahtevnejše statistične analize: za izvedbo raziskav, kjer se obravnava povezava med večimi statističnimi spremenljivkami hkrati

• se nauči uporabljati nekaj najaktualnejših programskih orodij za to najzahtevnejšo statistično analizo

• is informed with methods of theoretical computing and analysis as well as planning algorihms in case of large scale networks

• is informed with algorihms and methods of network analysis, encounter computational demanding methods small scale networks as well as quicker methods of analysis of large scale networks

• is trained for the performance of most demanding statistical analysis: realisation of the research where links with various statistical variables are dealt with simultaneously

• learns how to use some most up-to-date program tools for this most demanding statistical analysis



• predavanja z aktivno udeležbo študentov (razlaga, diskusija, vprašanja, primeri, reševanje problemov). Naloge in projekti, kjer študenti ponovijo in preizkusijo svoje razumevanje predavane snovi, predvsem skozi reševanje specifičnih problemov. Zaključni projekt bo v bistvu enak zaključenemu izpitu

• laboratorijske vaje, kjer bodo študentje pri konkretnih problemih ponovili, utrdili in dodatno osvetlili pojme in metode, spoznane na predavanjih

• vaje v računalniški učilnici: pri teh vajah bodo študentje spoznali nekaj najaktualnejših programskih orodij za analizo omrežij

• lectures with active student participation (explanation, discussion, questions, case studies, problem solving)

• assignments and Projects where students revise and test their comprehension of lectured material, primarily via solving specific problems on their own. Final project will in essence amount to completing the course

• lab work where concepts and methods dealt with at lectures will be additionally revised and lit up

• computer lab work where some most up-to-date program tools will be used; students learn to use software packages for social network analysis



Assessment:


• Zaključni projekt • Domače naloge

50 50


• Project work • Assignments



www.fis.unm.si

Reference nosilca / Lecturer's references: • LEVNAJIĆ, ZORAN (2012) Evolutionary Design of Non-frustrated Networks of Phase-

repulsive Oscillators. Scientific Reports, 2, 967. • LEVNAJIĆ, ZORAN in MEZIĆ, IGOR (2010) Ergodic Theory and Visualization I:

Visualization of Ergodic Partition and Invariant Sets. Chaos, 20, 033114. • LEVNAJIĆ, ZORAN in TADIĆ, BOSILJKA (2008) Self-organization in trees and motifs of

two-dimensional chaotic maps with time delay. Journal of Statistical Mechanics: Theory and Experiment, P03003.

• LEVNAJIĆ, ZORAN (2008) Dynamical Regularization in Scalefree-trees of Coupled 2D Chaotic Maps. Lecture Notes on Computer Science, 5102, str. 584-592.

• LEVNAJIĆ, ZORAN in TADIĆ, BOSILJKA (2007) Dynamical Patterns in Scalefree Trees of Coupled 2D Chaotic Maps. Lecture Notes on Computer Science, 4488, str. 633-640.

Introduction to Informatics

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Uvod v informatiko Course title: Introduction to Informatics



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


1-ISD-VS,UN-UVI-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - - - 45 105 6 Nosilec predmeta / Lecturer: izr. prof. dr. Blaž Rodič



www.fis.unm.si

Jeziki / Languages:




Prerequisits:

Študent/študentka opravlja uporabne in empirične vaje v kontekstu predavane snovi in pred pristopom k izpitu pripravi in zagovarja seminarsko nalogo iz obravnavene problematike pri vajah.

The student performs applied and empirical exercises in the context of the lecture materials and prepares a seminar task dealing with problems discussed at tutorials and presents it before the exam.

Vsebina:


• Uvod. Namen študija predmeta, povezanost z drugimi predmeti, vsebina, študijska literatura in način izvajanja predavanj in vaj.

• Uvod v informatiko. Informatika kot uporabna, teoretična in znanstvena disciplina. Osnove teorije informacij in podaja koncept informacijske družbe in njen pomen.

• Opredelitev informatike. Vpliv informatike na družbo, njeno strukturo, kulturo in izobraževanje. Ključni pojmi; podatek, informacija, znanje in vidiki uporabe informatike.

• Strojna oprema. Digitalni računalnik, razvoj, zgradba, delovanje in zmogljivost.

• Komunikacijski sistem. Prenos podatkov, mreže in njihova uporaba, internet, intranet, ekstranet, in digitalna telefonija. Standardi.

• Programska oprema. Operacijski sistemi, sistemska programska oprema, uporabniška programska oprema.

• Infrastruktura informatike. Strojna, komunikacijska in programska oprema ter strokovni kader.

• Uporaba. Pisarniška programska oprema.

• Introduction. The purpose of the course, relationship with other courses, content, literature and the methods of lectures and exercises.

• Introduction to Informatics. Informatics as an applied, theoretical and scientific discipline. Information theory fundamentals, the concept of information society and its importance.

• Definition of information technology. Impact of information technology on society, its structure, culture and education. Key concepts: data, information, knowledge and information aspects of informatics.

• Hardware. Digital computer, development, construction, operation and its performance.

• Communication system. Data transfer, networks and their application; internet, intranet, extranet, and digital telephony. Standards.

• Software. Operating systems, system software, user software.

• Informatics Infrastructure. Hardware, communications, software, and professional staff.

• Use.



www.fis.unm.si

Poslovne aplikacije. Elektronsko poslovanje. ERP stemi, Web2.0, Enterprise 2.0 in virtualizacija.

• Razvoj programske opreme. Analiza, algoritem, programiranje, testiranje, in vzdrževanje.

• Varnost Zagotavljanje varnosti informacijske infrastrukture.

• Podatki. Analiza in organiziranje podatkov. Baza podatkov.

Office software, business applications, e-commerce, ERP systems, Web2.0 technology, Enterprise 2.0 and virtualisation.

• Software development. Analysis, algorithm, programming, testing and maintenance.

• Information systems security. Ensuring security of information infrastructure

• Data. Analysis and organization of data, databases.

Temeljni literatura in viri / Readings: • P. Šuhel, Uvod v informatiko, skripta za študente FIŠ, Novo mesto. Samozaložba, 2009. • M. Gradišar: Uvod v informatiko, EF, Ljubljana, 2003. • R.M. Stair, G.W. Reynolds: Principles of Information Systems (seventh edition), Thomson

Learning, 2005.




• obvladanje raziskovalnih metod, postopkov in procesov na področju informacijske tehnologije

• razvoj kritične in samokritične presoje

• prilagoditev uporabe znanja v praksi

• reševanje delovnih problemov z uporabo informacijskih znanstvenih metod in postopkov

• pridobivanje, izbor, ocenjevanje in umeščanje novih znanj iz informacijske tehnologije

• razumevanje in uporaba postopkov orodij informatike v poslovnih in družbenih sistemih

• razvoj veščin in spretnosti pri uporabi informatike v proizvodnji

• sposobnost uporabe informacijsko-komunikacijske tehnologije in sistemov na področju družbeni ved

Teaching unit contributes to the development of the following general and subject-specific skills:

• knowledge of research methods, procedures and processes in the field of information technology

• development of critical and self-critical assessment

• adaptation of knowledge to practice

• solving work problems using scientific information technology methods and processes

• acquisition, selection, evaluation and ranking of new skills in the information technology

• understanding procedures and using of information technology tools in the business and social science systems

• skills development and the usage of information technology in production

• ability to use information and communication technologies and systems in the field of social sciences



www.fis.unm.si

Predvideni študijski rezultati: Intended learning outcomes: Znanje in razumevanje: Študent/študentka:

• pridobi osnovno znanje in definicije iz računalništva in informatike

• pozna ključne računalniške komponente, funkcije in lastnosti računalniškega sistema in komunikacijskih omrežij

• zna uporabljati programska orodja za pisarniške rešitve

• pozna sestavo informacijskega sistema organizacije

• uspešno uporablja poizvedovanje po sistemu podatkovnih baz

• pridobi nekatere postopke za zagotavljanje varnosti informacijskega sistema

• razlikuje zmogljivosti računalniškega sistema in omrežnih povezav

• obvlada komuniciranje s strokovnjaki informacijske tehnologije


• acquire basic knowledge and definitions of computer and informatics science

• know the key computer components, functions and performance of computer systems and communications networks

• know how to use software tools for office solutions

• get knowledge of the composition of the information system of an organization

• successfully query a system database

• obtain certain procedures to ensure information system security

• differentiate capacity computer system and network connections

• can communicate with information technology professionals




• laboratorijske vaje (delo na osebnem računalniku, spoznavanje opreme, omrežij, operacijskih sistemov, baz podatkov, iskanje sekundarnih podatkov, internetnih virov ipd.)

• individualne in skupinske konzultacije (diskusija, dodatna razlaga, obravnava specifičnih vprašanj)

• lectures with active participation of students (explanation, discussion, questions, cases, problem solving)

• laboratory exercises (work on a pc, learn about equipment, networks, operating systems, databases, search of secondary data, internet resources, etc.)

• individual and group consultations (discussion, further explanation, consideraton of specific issues



Assessment:


• pisni/ustni izpit • empirična seminarska naloga

s poročilom laboratorijskih vaj ter predstavitvijo seminarske naloge

50 50


• written and oral examination • empirical seminar task with a

report of laboratory exercises, and presentations of seminar work



www.fis.unm.si

Reference nosilca / Lecturer's references: • RODIČ, BLAŽ (2011) Mobile agents for distributed decision support systems. Int. Sci. J.

Manag. Inf. Syst., 6 (1), str. 20-27. • RODIČ, BLAŽ (2011) Across the digital divide with regional strategies and e-services =

Premoščanje digitalne ločnice z regionalnimi strategijami in e-storitvami. Raziskave in razprave, 4 (1), str. 46-61.

• VUKOVIČ, GORAN, ZAVRŠNIK, BRUNO, RODIČ, BLAŽ in MIGLIČ, GOZDANA (2008) The training of civil servants in the Slovene state administration: issues introducing training evaluation. Int. rev. adm. sci., 74 (4), str. 653-676.

• KLJAJIĆ, MIROLJUB, BRESKVAR, UROŠ in RODIČ, BLAŽ (2004) Computer aided scheduling with use of genetic algorithms and a visual discrete event simulation model. WSEAS Trans. Syst., 2004, 3 (3), str. 1021-1026.

• RODIČ, BLAŽ in KLJAJIĆ, MIROLJUB (2005) Mobile agents and XML for distributed simulation support. V: KLJAJIĆ, MIROLJUB, ŠKRABA, ANDREJ (ur.). Simulation based decision support, (Organizacija, 38 (9)). Kranj: Moderna organizacija, str. 490-498.

Data Bases and Data Analysis

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Baze podatkov in analiza podatkov Course title: Data Bases and Data Analysis



Letnik Academic

year

Semester Semester


- Drugi Tretji


- Second Third


1-ISD-VS,UN-BPAP-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - - - 45 105 6



www.fis.unm.si

Nosilec predmeta / Lecturer: izr. prof. dr. Blaž Rodič Jeziki / Languages:




Prerequisits:

Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati empirično seminarsko nalogo in opraviti obveznosti iz vaj.

The student is obliged to prepare and defend his/her empirical seminar paper and complete lab work assignments before the admission to the exam.

Vsebina:


• Uvod v predmet. Namen študija predmeta, povezanost predmeta z drugimi predmeti, vsebina študija predmeta, študijska literatura.

• Podatki in podatkovni viri v organizaciji. Strukturirani in nestrukturirani podatkovni viri. Upravljanje podatkovnih virov. Pridobivanje in specifikacija informacijskih zahtev.

• Baze podatkov in njihove značilnosti. Opredelitev. Tehnologija sistemov za upravljanje baz podatkov.

• Modeli podatkov. Relacijski, mrežni, hierarhični, objektno orientirani podatkovni model.

• Nivoji modeliranja podatkov. Konceptualni, logični in fizični nivo modeliranja podatkov.

• Konceptualni model podatkov. Opredelitev. Model Entiteta-Razmerje. Poslovna pravila in podatki. Konceptualno načrtovanje podatkovne baze.

• Logični model podatkov. Relacijski podatkovni model. Preoblikovanje konceptualnega modela v logični model podatkov. Normalizacija.

• Fizični model podatkov. Preoblikovanje logičnega modela v relacijsko bazo podatkov. Denormalizacija. Kreiranje baze

• Introduction. Aims of the course, relations with other courses, short overview of topics, recommended literature.

• Data and data sources in organizations. Structured and non-structured data sources. Management of data sources. Acquisition and specification of user requirements.

• Database management systems and their characteristics: definition, technologies.

• Data models. Relational, network, hierarchical and object data model.

• Data modeling levels. Conceptual, logical and physical data modeling level.

• Conceptual model: definition, entity-relationship model, business rules and data. Conceptual database design.

• Logical model: transforming conceptual model into logical (conceptual) schema, conceptual schema refinement, normalization.

• Physical model: transforming logical model into relational database. Denormalization. Database creation and manipulation with SQL. Database security and integrity. Database



www.fis.unm.si

podatkov in manipulacija s podatki z jezikom SQL. Zagotavljanje varnosti podatkov. Uvajanje baze podatkov in njen življenjski cikel.

• Transakcijske baze podatkov in poslovno obveščanje. Strategije iskanja in uporabnost on-line sekundarnih podatkov, uradne statistike, knjižnični viri, arhiv družboslovnih podatkov, uporaba osnovnih orodij za poročanje in analizo podatkov.

deployment and its lifecycle. • Transactional databases and business

reporting: searching and utilizing online data sources, official statistics, libraries and social science archives. Utilizing basic tools for business reporting and data analysis.

Temeljni literatura in viri / Readings: • S. Sumathi, S. Esakkirajan: Fundamentals of Relational Database Management

Systems, Springer, 2007. • Paul Wilton and John W. Colby: Beginning SQL, Wrox, 2005. • Jaklič, J. (2002): Upravljanje in uporaba podatkov, Ekonomska fakulteta, Ljubljana • Oppel (2004). Databases demystified, McGraw-Hill. • Peter Rob, Carlos Coronel (2005). Database Systems: Design, Implementation and

Management, Sixth Edition, Addison Wesley.

Cilji in kompetence: Objectives and competences: Učna enota prispeva k razvoju naslednjih splošnih in predmetno- specifičnih kompetenc:

• obvladanje raziskovalnih metod, postopkov in procesov na področju družbenih ved



• sposobnost za reševanje konkretnih družbenih in delovnih problemov z uporabo družboslovnih znanstvenih metod in postopkov


• razumevanje in uporaba metod kritične analize in njihova uporaba v reševanju konkretnih družbenih in delovnih problemov

• razvoj veščin in spretnosti pri uporabi znanja na področju


• mastering research methods, procedures and processes in social sciences

• developing critical and self-critical judgment

• ability to flexibly use of gained knowledge in practice

• ability to solve concrete social and professional problems by using scientific methods and procedures

• ability to acquire, select, estimate and position new information and interpret in in the context of social sciences

• understanding and utilizing critical analysis methods and their use for solving concrete social and professional problems

• development of skills and expert knowledge for solving empirical social sciences problems



www.fis.unm.si

družbenih ved s pomočjo reševanja empiričnih problemov


• ability to fully utilize information and communication technologies and systems in social science




• pozna in razume pomen podatkov in podatkovnih virov

• pozna in razume podatkovne modele

• je zmožen modelirati podatke na konceptualnem, logičnem in fizičnem nivoju

• pozna in razume teoretične osnove sistemov za upravljanje baze podatkov

• pozna in razume tehnološke in arhitekturne zahteve sistemov za upravljanje baze podatkov

• zna kreirati podatkovno bazo in izvajati manipulacije nad podatki

• pridobljeno znanje uporablja za razvoj, vzdrževanje in ustrezno rabo učne baze podatkov

• je zmožen sodelovati pri razvoju baze podatkov transakcijskega informacijskega sistema

• pozna in je zmožen uporabljati neproceduralne jezike za pridobivanje podatkov iz baze podatkov

• pridobljeno znanje uporablja za iskanje alternativnih pristopov upravljanja strukturiranih in nestrukturiranih virov podatkov

• pozna vlogo in pravilno uporablja orodja za poslovno poročanje in analitično obdelavo podatkov

• Zna uporabljati protokole za povezovanje proceduralnih programskih jezikov z SUBP (ODBC, JDBC)


• knows and understands the meaning of data and data sources

• knows and understands data models • can perform data modeling on

conceptual, logical and physical level

• knows and understands the theory behind database management systems

• knows and understands technological and architectural database management systems requirements

• can create a database and manipulate stored data

• can apply acquired knowledge for study database design, management and its proper daily use

• can collaborate in database development for transactional information system

• knows and uses non-procedural database languages for data retrieval

• utilizes the acquired knowledge in determination of alternative management strategies for structured and non-structured data sources

• knows and properly uses business reporting and data analysis tools

• can use protocols for the integration of procedural programming languages with DBMS (ODBC, JDBC)



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Metode poučevanja in učenja: Learning and teaching methods:


• laboratorijske vaje (vzpostavitev SUBP (sistema za upravljanje z bazo podatkov, razvoj poizvedb s programskim jezikom SQL)


• lectures with active students' involvement (explanation, discussion, questions, examples, problem solving)

• laboratory work: (setup of DBMS (database management system, development of queries with SQL programming language)

• individual and group consultations (discussions, supplementary explanations, treatment of specific questions)



Assessment:


• pisni/ustni izpit • empirična seminarska naloga

s poročili seminarskega dela in eksperimentalnih vaj ter predstavitev naloge

80 20


• written/oral examination • empirical student assignment

with the reports from seminar tasks and experimental exercises together with the presentation of the assignment






• RODIČ, BLAŽ in KLJAJIĆ, MIROLJUB (2005) Mobile agents and XML for distributed simulation support. V: KLJAJIĆ, MIROLJUB in ŠKRABA, ANDREJ (ur.). Simulation based decision support, (Organizacija, 38 (9)). Kranj: Moderna organizacija, str. 490-498.



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Multivariate Analysis

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Multivariatna analiza Course title: Multivariate Analysis



Letnik Academic

year

Semester Semester


- Drugi Tretji


- Second Third


1-ISD-VS,UN-MA-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 30 - 15 135 7 Nosilec predmeta / Lecturer: izr. prof. dr. Janez Povh Jeziki / Languages:




Prerequisits:

Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati projekt in oddati vse domače naloge. Pogoj za pristop k izpitu je tudi zadostna (vsaj 2/3) prisotnost na vajah.

A succesful seminar preparation and its defense is a prerequisite. Likewise all homeworks must be submitted. Prerequisite for the exam is the suitable attendance at tutorials and lectures (at least 2/3).



www.fis.unm.si

Vsebina: Content (Syllabus outline): • UVOD

• Osnove matrične algebre: osnovni pojmi, povezani z matrikami, računanje z matrikami, determinanta matrike, inverz matrike, lastne vrednosti in lastni vektorji matrike, pozitivno definitne matrike.

• Uvod v multivariatno analizo: multivariatna narava podatkov, variančno-kovariančna matrika, korelacijska matrika, grafična predstavitev večrazsežnih podatkov.

• METODE ZA RAZISKOVANJE NOTRANJE POVEZANOSTI • Razvrščanje v skupine: mere

podobnosti in različnosti, pomen kriterijske funkcije, hierarhične in nehierarhične metode, dendrogram.

• Metoda glavnih komponent: osnovna ideja metode glavnih komponent, hevristična pravila za določitev števila najpomembnejših komponent, interpretacija glavnih komponent.

• Faktorska analiza: osnovna ideja faktorske analize, splošni faktorski model in njegove predpostavke, faktorska enačba, metode faktorske analize (metoda glavnih osi, metoda največjega verjetja), pomen rotacij faktorjev ter uporaba, prednosti in slabosti faktorske analize.

• METODE ZA RAZISKOVANJE ODVISNOSTI • Analiza variance: enofaktorska

analiza variance, večfaktorska analiza variance, medsebojni vplivi napovednih spremenljivk.

• Diskriminantna analiza: osnovna ideja diskriminantne analize in predpostavke, pomen diskriminantne funkcije, natančnost

• INTRODUCTION: • Elements of matrix algebra: matrix

arithmetic and operations, determinants, inverse matrices, eigenvalues and eigenvectors, positive-definite matrices.

• Introduction to multivariate analysis: properties of n-dimensional space, variance-covariance matrix, correlation matrix, multivariate data visualization.

• INTERDEPENDENCE STATISTICAL METHODS • Cluster analysis: (dis)similarity

measures, criterion functions, hierarchical and nonhierarchical cluster analysis, visualization.

• Principal component analysis: basic idea of dimension reduction techniques in general and principal component analysis in particular, plausible number of principal components, interpretation of principal components.

• Factor analysis: basic idea of factor analysis, general factor model with assumptions and consequences, factor analysis methods (principal axis, maximul likelihood), factor rotations, interpretation and application of factor analysis.

• DEPENDENCE STATISTICAL METHODS • Analysis of variance: multiple

analysis of variance, multiple comparison procedures and post-hoc tests.

• Discriminant analysis: statistical learning theory, basic idea of discriminant analysis, assumptions of discriminant analysis, two-class discrimination and generatization to multi-class problems, classification performance, discrimination analysis in the context of general linear models.

• Logistic regression: logit function,



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klasifikacije, pomen napovednih spremenljivk in centroidov, diskriminantna analiza z dvema skupinama, diskriminantna analiza z več skupinami.

• Logistična regresija: logit funkcija, metoda maksimalnega verjetja, klasifikacija z logistično regresijo.

• Regresijska analiza: enostaven linearen regresijski model (ponovitev), večkratna regresija in predpostavke, izbira napovednih spremenljivk, ocenjevanje parametrov regresijskega modela, determinacijski koeficient, uporaba regresijske analize.

maximum likelyhood method, classification with logistic regression.

• Regression analysis: basic linear regression model, multiple regression model, parameter estimation, assumptions and regression diagnostics, variable selection procedures, coefficient of determination.

Temeljni literatura in viri / Readings: • IZENMAN, A. J. (2008). Modern Multivariate Statistical Techniques. New York, NY:

Springer. • SHARMA, S. (1996). Applied multivariate techniques. New York: John Wiley and sons. • HAIR, J. F. (2006). Multivariate data analysis. Englewood Cliffs, NJ: Prentice-Hall. • HASTIE, T., TIBSHIRANI, R. IN FRIEDMAN, J. (2009). The Elements of Statistical Learning.

New York, NY: Wiley. • JESENKO, J., JESENKO, M. (2007): Multivariatne statistične metode. Založba Moderna

organizacija, Kranj. Cilji in kompetence:



• obvladanje raziskovalnih metod, postopkov in procesov na področju družbenih ved;

• razvoj kritične in samokritične presoje;

• sposobnost za reševanje konkretnih družbenih z uporabo družboslovnih znanstvenih metod in postopkov;

• sposobnost pridobivanja, selekcije, ocenjevanja in umeščanja novih informacij in zmožnost interpretacije v kontekstu družboslovja;

• sposobnost uporabe informacijsko-komunikacijske tehnologije in sistemov na področju družbenih ved;


• mastering the research methodology, procedures and processes in the social sciences;

• development of critical and self-critical judgement;

• ability to solve concrete social problems using social science methods and procedures;

• ability for acquiring, selecting, assessing, and installing new information and the capability of interpreting them in the context of the social sciences;

• ability to use information and communication technologies and systems in social science;



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Predvideni študijski rezultati: Intended learning outcomes:

Znanje in razumevanje: • se seznani s teoretskimi osnovami in s

praktičnimi vidiki statističnih metod iz področja multivariatne statistike

• se usposobi za izvedbo najzahtevnejših statističnih analiz uporabo metod multivariatne analize

• se nauči uporabljati najaktualnejša programska orodja za to najzahtevnejšo statistično analizo

Prenesljive/ključne spretnosti in drugi atributi:

• prenos znanja multivariatne analize na različna strokovna in znanstvena področja, kjer se uporabljajo statistična analiza

Knowledge and understanding: • understanding and knowledge of

the basic concepts and classical methods of the multivariate analysis;

• ability to do complex analysis with the multivariate methods.

• mastering the state of the art software for statistical analysis

Transferable/Key skills and other attributes: • knowledge transfer of multivariate

analysis methods into different areas dealing with data analysis




• vaje, kjer bodo študentje pri konkretnih statističnih problemih ponovili, utrdili in dodatno osvetlili pojme in metode, spoznane na predavanjih

• laboratorijske vaje: študentje bodo spoznali nekaj najaktualnejših programskih orodij za statistično obdelavo podatkov. Vaje bodo potekale v manjših skupinah, tako da bo imel vsak študent na razpolago en računalnik. Študentje v manjših skupinah pripravijo projekt, ki vključuje konkreten statistični problem. Študentje problem rešijo z metodami, spoznanimi na predavanjih in vajah.

• lectures with active students participation (explanations, discussion, questions, examples, problem solving)

• tutorials (students will recall, reinforce, and shed light on the concepts and methods taught on lectures)

• lab work (students will learn modern methods of computer use for statistical data analysis. The lab work is organized in small groups with one computer per student. Students should prepare and defense project report. The project work includes real-life statistical analysis and covers the methods presented in class).

Načini ocenjevanja: Delež (v %) / Weight (in %)

Assessment:

Način: • ustni izpit in • pisni izpit ali sprotno delo:

kolokviji, projektna naloga, domače naloge

30 70

Type: • oral exam • written exam or intermediate

work: mid-term examinations, project, homeworks



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Kdor s sprotnim delom ali s pisnim izpitom zbere vsaj 51 %možnih točk, lahko pristopi k ustnemu izpitu. Ustnega izpita je oproščen, kdor s pisnim izpitom ali sprotnim delom zbere vsaj 70 % točk in je bil vsaj 50 % na predavanjih.

As a prerequisite for the oral examination student must gain at least 51 % of possible points with intermediate work or with written exam. Students who have gained at least 70 % with intermediate work or written exam and have participated at least 50 % of lectures are exempt from the oral examination..

Reference nosilca / Lecturer's references:

• DICKINSON, PETER J. C., POVH, JANEZ (2014) On an extension of Pólyaʼs Positivstellensatz. Journal of global optimization, str. 1-11.

• LUŽAR, BORUT, LEVNAJIĆ, ZORAN, POVH, JANEZ, PERC, MATJAŽ (2014) Community structure and the evolution of interdisciplinarity in Slovenia's scientific collaboration network. PloS one, letnik. 9, št. 4, str. e94429-1-e94429-5.

• BURGDORF, SABINE, CAFUTA, KRISTIJAN, KLEP, IGOR, POVH, JANEZ (2013) Algorithmic aspects of sums of Hermitian squares of noncommutative polynomials. Computational optimization and applications, letnik 55, št. 1, str. 137-153.

• CAFUTA, KRISTIJAN, KLEP, IGOR, POVH, JANEZ (2011) NCSOStools: a computer algebra system for symbolic and numerical computation with noncommutative polynomials. Optimization methods & software letnik 26, št. 3.

• BUČAR, JOŽE, POVH, JANEZ, DOBROVOLJC, ANDREJ (2015) Web clipping and sentiment analysis of slovenian news articles. V: KANDUČ, Tadej (ur.). Social sciences via network analysis and computation. Frankfurt am Main: Peter Lang, str. 11-20.

• ZELENIKA, DARKO, POVH, JANEZ, DOBROVOLJC, ANDREJ (2013) Document categorization based on OCR technology : an overview. V: BORAS, Damir (ur.), DAMIJ, Nadja (ur.). Recent advances in information science : proceedings of the 7th European Computing Conference (EEC '13), Dubrovnik, Croatia, June 25-27.



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Methodology in Social Sciences

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Družboslovna raziskovalna metodologija Course title: Methodology in Social Sciences



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


1-ISD-VS,UN-DRM-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 30 - 15 105 6 Nosilec predmeta / Lecturer: izr. prof. dr. Mirna Macur Jeziki / Languages:




Prerequisits:

Študent/študentka mora izvesti družboslovno raziskavo. Izvajajo jo v manjših skupinah, v katerih si razdelijo delo. Skupinski projekt predstavijo na vajah, kjer je ocenjena njegov vsebina, utemeljitev, izpeljava in predstavitev.

The student has to perform a sociological research in small teams where workload is shared. The team project is presented at tutorials, where content, justification, performance and presentation are evaluated.



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Vsebina: Content (Syllabus outline): • Temeljna vprašanja družboslovnega

raziskovanja: teorija in empirija v raziskovalnem procesu, cilji raziskovalnega procesa, pojem vzročnosti.

• Družboslovni paradigmi raziskovanja: pozitivizem in interpretativna paradigma; struktura znanstvene teorije.

• Izbor metode raziskovanja: pregled kvalitativnih in kvantitativnih metod raziskovanja; primerjalne metode raziskovanja.

• Struktura raziskovalnega procesa: izbor teme raziskovanja, postavitev relevantnih vprašanj in hipotez, zbiranje podatkov za raziskavo, vzorčenje, merjenje, analiza podatkov, izdelava poročila.

• Družbena determiniranost raziskovanja: vrednote, pristranost in problem objektivnosti, etika.

• Izvedba družboslovne raziskave, ki vključuje vse navedene elemente. Družboslovna raziskava se mora dotikati relevantne teme, ki je utemeljena s pregledom literature in raziskav na navedenem področju. Projekt vsebuje utemeljitev izbora paradigme raziskovanja, populacije in vzorca, metode raziskovanja.

• Basic questions of social research: theory and practice in research process, goals of research process, the concept of causality.

• Two paradigms in social research: positivist (quantitative) and interpretative (qualitative) paradigm, structure of scientific theory.

• Selecting research method: review of qualitative and quantitative research methods, comparative research methods.

• Structure of research process: selection of research topic, formulation of relevant research question and hypotheses, sampling, collecting data for research, analysing the data, writing a research report.

• Social nature of research: values, problem of being objective, bias, ethics.

• Implementing social research, that includes all the mentioned elements. Through careful literature review and review of research on the selected field of research, students formulate relevant research questions and goals of social research. That is followed by selection of the research paradigm, research method, population, sample and research variables. Students conduct the research in small groups, write a report and present it in class.

Temeljni literatura in viri / Readings: • Tratnik, Monika (2002): Osnove raziskovanja v managementu. Koper: Visoka šola za

management. • Punch, Keith F. (2000): Developing Effective Research Proposals. Sage Publications. • Toš, N., Hhafner-Fink, M. (1998): Metode družboslovnega raziskovanja. FDV, Ljubljana. • Dodatna literatura s strani nosilca.



www.fis.unm.si




• poznavanje in razumevanje družbenih procesov ter sposobnost za njihovo analizo, sintezo in predvidevanje rešitev in njihovih posledic,




• poznavanje in razumevanje utemeljitev in zgodovine razvoja temeljnih družboslovnih disciplin (stroke) in sicer s področja sociologije, političnih ved, komunikologije, ekonomije in menedžmenta, družboslovne informatike, pravoznanstva, družboslovne statistike in metodologije



• razumevanje in uporaba metod kritične analize in razvoja teorij ter njihova uporaba v reševanju konkretnih družbenih in delovnih problemov

• razvoj veščin in spretnosti pri uporabi znanja na področju družbenih ved s pomočjo reševanja teoretičnih ali empiričnih problemov


• knowledge and understanding of social processes together with the ability of their analysis, synthesis, prediction of solutions and their consequences

• mastering research methods in the field of social sciences

• development of critical and self-critical judgement

• the ability of flexible usage the acquired knowledge in praxis

• knowledge and understanding basics and history of basic sociological disciplines in the fields of sociology, political sciences, communicology, economics and management, sociological informatics, jurisprudence, sociological statistics, methodology

• the ability to solve specific social and work problems by using sociological scientific methods and procedures

• the ability to acquire, select, evaluate and place new information and ability to interpret in the context of social science

• understanding and use of methods of critical analysis and development of theories and their usage in solving specific social and work problems

• development of skills using the knowledge in the fields of social sciences by solving theoretical and empirical problems



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• v povezavi z drugimi predmeti pozna in razume relevantna poglavja iz filozofije znanosti in epistemologije

• v kontekstu raziskovalnega procesa in v povezavi z drugimi predmeti demonstrira znanje relevantnih vprašanj iz družboslovne teorije

• zavzame stališče do ključnih etičnih vprašanj v raziskovalnem procesu in kritično vrednoti konkreten primer

• pozna in uporablja osnovne metode in tehnike raziskovanja

• izvede konceptualizacijo problema z raziskovalnim načrtom

• reflektira in kritično ovrednoti primernost določene raziskovalne metode za analizo konkretnega problema


• knows and understands relevant paragraphs from the philosophy of science and epistemology in connection with other subjects

• demonstates knowledge of relevant questions from the theory of social sciences in the context of research process and in connection with other subjects

• takes the stance towards key ethical questions in the research process and critically evaluates a concrete case

• knows and uses basic research methods and techniques

• implements conceptualisation of a problem with a research plan

• reflects and critically evaluates the relevance of a certain research methods for the analysis of a concrete problem




• seminarske vaje (refleksija izkušenj, projektno delo, timsko delo, metode kritičnega mišljenja, diskusija, sporočanje povratne informacije)

• eksperimentalne vaje, ki temeljijo na izkušenjskem, sodelovalnem in problemskem učenju (samostojno učenje, diskusija, razlaga, opazovanje, timsko delo, študija primera, metode kritičnega branja in pisanja, igra vlog, sodelovalno učenje, portfolijo, evalvacija, samoocenjevanje)

• individualne in skupinske konsultacije (diskusija, dodatna razlaga, obravnava specifičnih vprašanj)

• lectures with active student participation (explanation, discussion, questions, examples problem solving)

• seminars (reflexion about experiences, project work, team work, method of critical thinking, discussion, feed-back)

• experimential exercises based on experience, cooperation, problem learning (individual study, discussion, explanation, observation, team work, case study, method of critical reading and writing, role play, portfolio, evaluation and self-evaluation)

• individual and group consultations (discussion, additional explanation, treatment of specific questions)



www.fis.unm.si



Assessment:


• izvedena družboslovna raziskava se ocenjuje kot projekt v celoti

• individualno delo na projektu, ki ga vsak študent/ka samostojno napiše in odda. Projekt študentje pri predmetu predstavijo in utemeljijo njegovo zasnovo in izvedbo

• študentje, ki se ne vključijo v skupinsko izvedbo družboslovne raziskave, pristopijo k pisnemu izpitu

40

60

100


• the performed research is marked as a whole

• the work on the project individually written and submitted. The project is presented and its plan and performance are justified at lectures

• students who do not

participate in team work sit an examination


• MACUR, Mirna (2013): Quality in health care : possibilities and limitations of quantitative research instruments among health care users. Quality & quantity, ISSN 0033-5177, 2013, vol. 47, iss. 3, str. 1703-1716.

• MACUR, Mirna (2012). The issue of validity in international quantitative research. V: BESEDNJAK VALIČ, Tamara (ur.), MODIC, Dolores (ur.), LAMUT, Urša (ur.). Multifaceted nature of collaboration in contemporary world. London: Vega Press, 2012, str. 5-39.

• Lamut, U., Macur M. (2012): Metodologija družboslovnega raziskovanja – od zasnove do izvedbe. Založba Vega.

• RADEJ, Bojan (avtor, prevajalec), GOLOBIČ, Mojca, MACUR, Mirna, DRAGOŠ, Srečo. Vrednotenje politik : obzorja nove miselnosti. Ljubljana: Vega, 2011. 247 str.,

• MACUR, Mirna. Družbeno odgovorno igralništvo : model evalvacije = Problem gambling : evaluation model. Raziskave in razprave, ISSN 1855-6280, 2010, letn. 3, št. 1, str. 3-27.

• MACUR, Mirna. How to measure patients' dissatisfaction. V: International Conference Applied Statistics 2011, September 19-22, 2011, Ribno. LUSA, Lara (ur.), STARE, Janez (ur.). Program and abstracts. Ljubljana: Statistical Society of Slovenia, 2011, str. 63.

• MACUR, Mirna, FAGANEL, Armand. Primernost uporabe SERVQUAL dimenzij kakovosti v visokem šolstvu = Using the SERVQUAL dimension of quality in higher education. V: KALUŽA, Jindřich (ur.). Sinergija metodologij : zbornik 24. mednarodne konference o razvoju organizacijskih znanosti, Slovenija, Portorož, 16.-18. marec 2005 = Synergy of methodologies : proceedings of the 24th International Conference on Organizational Science Development, Slovenia, Portorož, March 16-18, 2005. Kranj: Moderna organizacija, 2005, str. 263-269.



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Social Theory

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Družbena teorija Course title: Social Theory



Letnik Academic

year

Semester Semester


- Drugi Tretji


- Second Third


1-ISD-VS,UN-DT-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 45 - - 105 6 Nosilec predmeta / Lecturer: izr. prof. dr. Matej Makarovič Jeziki / Languages:




Prerequisits:

Pogoj za vključitev v delo je vpis v 2. letnik študija.

Enrolment into the second year of the undergraduate study.



www.fis.unm.si

Vsebina: Content (Syllabus outline):

• opredelitev, kaj je družbena teorija in njeno razmerje do empirije

• začetki sistematične družbene misli: Platon, Konfucij, Sv. Avguštin, Ibn Khaldun...

• razsvetljenska družbena misel (teorije družbene pogodbe, škotsko razsvetljenstvo...)

• konfliktna družbena teorija: Karl Marx in marksizem

• utemeljitev sociologije kot znanosti: Auguste Comte, Herbert Spencer in Émile Durkheim

• sociologija družbenega delovanja: Max Weber

• simbolni interakcionizem: George H. Mead, Charles H. Cooley, Erving Goffman

• sociološki funkcionalizem: Talcott Parsons, Robert K. Merton

• fenomenologija: Edmund Husserl, Alfred Schutz, Thomas Luckmann

• sodobne konfliktne teorije: Ralf Dahrendorf, neomarksizem, feminizem

• teorije pozne modernosti: postmodernost, Anthony Giddens, Manuel Castells, Niklas Luhmann, Ulrich Beck

• paradigmatske delitve v družbenih vedah in možnosti njihovega preseganja

• sodobna relevantnost družbene teorije

• the definition of what social theory is and its relationship to the empirical

• the beginnings of the systematic social thought: Plato, Confucius, St. Augustine, Ibn Khaldun...

• the Enlightenment social thought: (theories of social contract, Scottish Enlightenment...)

• social conflict theories: Karl Marx and Marxism

• the foundations of sociology as a science: Auguste Comte, Herbert Spencer, Emile Durkheim

• the sociology of social action: Max Weber

• the symbolic interactionism: George H. Mead, Charles H. Cooley, Erving Goffman

• sociological functionalism: Talcott Parsons, Robert K. Merton

• phenomenology: Edmund Husserl, Alfred Schutz, Thomas Luckmann

• contemporary conflict theories: Ralf Dahrendorf, neomarksizem, feminism

• theories of late modernity: postmodernism, Anthony Giddens, Manuel Castells, Niklas Luhmann, Ulrich Beck

• paradigmatic divisions in social sciences and the chances to move beyond them

• the contemporary relevance of social theory

Temeljni literatura in viri / Readings: • Adam, Frane, ur. (2004): Kompendij socioloških teorij. Ljubljana: Študentska

organizacija Univerze. • Haralambos, Michael in Martin Holborn (2005): Sociologija: Teme in pogledi. Ljubljana:

DZS. • Ritzer, George (2007): Sociological Theory. Boston etc.: McGraw-Hill. • Sica, Alan, ur. (2005): Social Thought from Enlightenment to the Present. Boston etc.:

Pearson Education. • Druga krajša besedila s področja družbene teorije.



www.fis.unm.si

Cilji in kompetence: Objectives and competences: Učna enota prispeva k razvoju naslednjih splošnih in predmetnospecifičnih kompetenc:

• poznavanje in razumevanje družbenih procesov ter sposobnost za njihovo analizo, sintezo in predvidevanje rešitev in njihovih posledic


• poznavanje pomena kakovosti in prizadevanje za kakovost strokovnega dela skozi avtonomnost, (samo)kritičnost, (samo)refleksivnost in (samo)evalviranje v strokovnem delu

• etična refleksija in zavezanost profesionalni etiki v družbenem okolju s spoštovanjem načela nediskriminatornosti in multikulturnosti

• poznavanje in razumevanje utemeljitev in zgodovine razvoja temeljnih družboslovnih disciplin (stroke) in sicer s področja sociologije, političnih ved, komunikologije, ekonomije in menedžmenta, družboslovne informatike, pravoznanstva, družboslovne statistike in kvalitativnih metod


• sposobnost interdisciplinarnega pristopa, ki se kaže kot razumevanje splošne strukture družbenih ved ter povezanosti med njihovimi posameznimi disciplinami in poddisciplinami

• razumevanje in uporaba metod kritične analize in razvoja teorij ter njihova uporaba v reševanju konkretnih družbenih in delovnih

Study unit will contribute toward the development of the following competences:


• development of critical and self critical judgement, knowledge of the value of quality and the effort for the quality of professional work through autonomy, (self)criticism, (self)reflection and (self)evaluation in professional work

• ethical reflection and ties with professional ethics in social environment respecting principle of non-discrimination and multiculturalism

• knowledge and understanding of basis and history of basic sociological disciplines in the fields of sociology, political sciences, communicology, economics and management, sociological informatics, jurisprudence, sociological statistics, qualitative methods

• the ability to acquire, select, evaluate and place new information and ability to interpret in the context of social science

• ability of interdisciplinary approach shown in understanding of general structure of social sciences and interconnection among their specific disciplines and subdisciplines

• understanding and use of methods of critical analysis and development of theories and their usage in solving specific social and work problems

• development of skills using the knowledge in the fields of social sciences by solving theoretical and empirical problems

• understanding intrapersonal



www.fis.unm.si

problemov • razvoj veščin in spretnosti pri uporabi

znanja na področju družbenih ved s pomočjo reševanja teoretičnih ali empiričnih problemov


relationships, organisations and social environment, the ability to percieve and act complexly and systematically




• razume temeljna razmerja med teorijo (velike teorije, teorije srednjega dosega) in empirijo

• pozna in razume ključne teoretske pristope v družbenih vedah, njihov pomen, medsebojne povezave, temeljne medsebojne razlike in podobnosti

• bere klasične teoretske tekste, tudi v izvirniku, razume njihova temeljna sporočila in se zna do njih samostojno kritično opredeljevati

• razume družbeno-kulturni kontekst razvoja posamičnih teorij in jih zna umestiti v določeno obdobje

• se zaveda sodobne relevantnosti enih in preseženosti nekaterih drugih vidikov klasične družbene teorije

• zna obravnavati empirične družbene pojave in presojati družbene prakse z različnih zornih kotov, tako da pri tem upošteva različne družbene teorije

• razume temeljne paradigmatske delitve v sociologiji, možnosti njihovega premoščanja in omejitve teh možnosti, pomen internacionalizacije in dezideologizacije družbenih ved


• understands the basic relations between theory (grand theories, middle range theories) and the empirical world

• is familiar with and understands key theoretical approaches in social sciences, their significance, interrelations, key differences and similarities

• reads classical theoretical texts, including the original ones, understands their basic messages and is able to discuss them in a critical way

• understands the social-cultural context of the development of particular theories and is able to place them in a certain epoch

• is aware of the contemporary relevance of certain as well as the irrelevance of some other aspects of the classical social theory

• is able to analyse empirical social phenomena and social practice from a variety of perspectives taking into account a variety of different social theories

• understands the basic paradigmatic divisions in sociology, the possibilities of their overcoming and their limits, as well as the significance of internationalisation and deideologisation of social sciences



www.fis.unm.si




• seminarske vaje (refleksija izkušenj, projektno delo, timsko delo, metode kritičnega mišljenja, diskusija, sporočanje povratne informacije, socialne igre)



• oblikovanje portfolija in samostojen študij (motiviranje, usmerjanje, samoopazovanje, samouravnavanje, refleksija)

• lectures with student's active participation (explanation, discussion, questions, examples)

• seminars (reflexion about experiences, project work, team work, method of critical thinking, discussion, feed-back, social games)

• experimential exercises based on experience, cooperation, problem learning (individual study, discussion, explanation, observation, team work, case study, method of critical reading and writing, role play, portfolio, evaluation and self-evaluation)


• portfolio and individual study (motivation, mentorship, self-observation, self-fulfilment, reflexion, self-evaluation)



Assessment:


• pisni/ustni izpit • seminarska naloga ali več

krajših nalog

50 50


• written/oral examination • one or more essays or other

written assignments


• MAKAROVIČ, Matej, GOLOB, Tea. Increasing fluidity of identifications in the context of individualisation : identification with the European Union. International social science journal, ISSN 1468-2451, 2015, str. 1-13.

• GOLOB, Tea, KRISTOVIČ, Sebastjan, MAKAROVIČ, Matej. European transnational social fields and identifications : the significance of transnational participation and structured positions in the individual and national context. European Journal of Science and Theology, ISSN 1841-0464, oct. 2014, vol. 10, no. 5, str. 1-20.

• MAKAROVIČ, Matej, ŠUŠTERŠIČ, Janez, RONČEVIĆ, Borut. Is Europe 2020 Set to Fail? : the cultural political economy of the EU grand strategies. European planning studies, ISSN 0965-4313, 2014, vol. 22, iss. 3, str. 610-626.



www.fis.unm.si

• MAKAROVIČ, Matej, REK, Mateja. Power and Influence-Based Political Participation in European Democracies. Sociológia, ISSN 0049-1225, 2014, vol. 46, no. 6, str. 686-705.

• RONČEVIĆ, Borut, MAKAROVIČ, Matej. Towards the strategies of modern societies : systems and social processes. Innovation, ISSN 1351-1610, Sep. 2010, vol. 23, no. 3, str. 223-239.

• MAKAROVIČ, Matej, RONČEVIĆ, Borut. Interethnic relations in a systemic context : minorities in media and education in Slovenia, (Gesellschaftliche transformationen, Bd. 17, Vol. 17). Münster: Lit, 2010.

The Structure of Slovenian Society

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Struktura slovenske družbe Course title: The Structure of Slovenian Society



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


1-ISD-VS,UN-SSD-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 45 - - 75 5 Nosilec predmeta / Lecturer: red. prof. dr. Matevž Tomšič Jeziki / Predavanja / Slovenski, angleški / Slovene, English



www.fis.unm.si

Languages: Lectures: Vaje / Tutorial: Slovenski, angleški / Slovene, English


Prerequisits:

Ni posebnih pogojev. No special conditions.

Vsebina:


• temeljni sociološki in drugi družboslovni pojmi, povezani z družbeno strukturo

• opredelitev slovenske družbe v evropskem in globalnem kontekstu: družba, država, (zamišljena) skupnost, družbeno okolje

• družbene vrednote, norme, konformnost in deviantnost v slovenski družbi

• razmerje med družbenimi delitvami in družbeno integracijo v slovenski družbi: diferenciacija, integracija, konflikt, konsenz Hierarhični vidiki slovenske družbene strukture: družbena neenakost, oblikovanje in relativizacija družbenih razredov, slovenske elite, vprašanja neenakosti med spoloma ter neenakosti med večino in etničnimi manjšinami

• funkcionalni podsistemi slovenske družbe; izbrani primeri: ekonomija, politika in javna sfera, družina, izobraževanje, religija.

• strukturne spremembe slovenske družbe: kratek zgodovinski pregled, demokratizacija, vzpostavitev tržne ekonomije, osamosvojitev, vključitev v EU, vrednotno-normativni premiki

• key sociological concepts, related to the phenomenon of social structure

• place of slovenian society in european and global context

• social norms, values, conformity and deviations in slovenian society

• relationship between social cleavages and integration in slovenian society

• hierarchical aspects of slovenian social structure

• functional subsystems of Slovenian society

• structural change in Slovenian society

Temeljni literatura in viri / Readings: • Adam, Frane et al. (2001): Sociokulturni dejavniki razvojne uspešnosti: Slovenija v

evropski perspektivi. Ljubljana: ZPS. • Haralambos, Michael in Martin Holborn (2005): Sociologija: Teme in pogledi. Ljubljana:

DZS. • Tomšič, Matevž (2002): Politična stabilnost v novih demokracijah. Ljubljana: ZPS. • Matevž Tomšič (2008): Elite v tranziciji. Nova Gorica: FUDŠ. • Ostala literatura po izbiri nosilca.



www.fis.unm.si

Cilji in kompetence: Objectives and competences: Učna enota prispeva k razvoju naslednjih splošnih in predmetno-specifičnih kompetenc:



• občutljivost za ljudi in socialno okolje ter razvoj komunikacijskih sposobnosti in spretnosti, posebej komunikacije v mednarodnem okolju

• etična refleksija in zavezanost profesionalni etiki v družbenem okolju s spoštovanjem načela neskriminatornosti in multikulturnosti

• zmožnost za prepoznavanje in izkoriščanje priložnosti, ki se ponujajo v delovnem in družbenem okolju (ki se izkazujejo kot podjetniški duh in aktivno državljanstvo)

• poznavanje in razumevanje utemeljitev in zgodovine razvoja temeljnih družboslovnih disciplin (stroke) in sicer s področja sociologije, političnih ved, komunikologije, ekonomije in menedžmenta, družboslovne informatike, pravoznanstva, družboslovne statistike in kvalitativnih sposobnost pridobivanja, selekcije, ocenjevanja in umeščanja novih informacij in zmožnost interpretacije v kontekstu družboslovja

• sposobnost interdiciplinarnega pristopa, ki se kaže kot razumevanje splošne strukture družbenih ved ter povezanosti med njenimi posameznimi disciplinami in poddisciplinami

• razumevanje in uporaba metod kritične analize in razvoja teorij ter



• development of critical and self- critical judgement, sensitivity for people and social environment and development of social abilities and skills, namely communication in international environment

• ethical reflection and ties with professional ethics in social environment respecting principle of non-discrimination and multiculturalism, the ability to recognise and develop opportunities in work and social environment (proven as entrepreneurship and active citizenship)

• knowledge and comprehension of basis and history of basic sociological disciplines in the fields of sociology, political sciences, communicology, economics and management, sociological informatics, jurisprudence, sociological statistics, qualitative abilities to acquire, select, evaluate and place new information and ability to interpret in the context of social science

• the ability of interdisciplinary approach shown in comprehension of general structure of social sciences and interconnection among their specific disciplines and sub-disciplines

• comprehension and use of methods of critical analysis and development of theories and their usage in solving specific social and concrete work problems

• ability to use information and



www.fis.unm.si

njihova uporaba v reševanju konkretnih družbenih in delovnih problemov


• razumevanje odnosov med posamezniki, organizacijami in družbenim okoljem

• zmožnost za kompleksno sistemsko gledanje in delovanje

communication technologies and systems in the fields of social sciences by solving theoretical and empirical problems

• understanding intrapersonal relationships, and relationships among organisations and social environment

• the ability to perceive and act complexly and systematically




• pozna, razume in zna uporabljati temeljne sociološke pojme, ki se nanašajo na družbeno strukturo ter jih zna povezati s konkretnimi lastnostmi in premiki v slovenski družbi

• razume temeljne lastnosti slovenske družbe ter njeno umestitev v evropski in globalni kontekst

• razume temeljne pojme povezane z družbenim redom in jih zna aplicirati na slovensko družbo

• v temelju pozna in okvirno razume hierarhične in funkcijske (funkcionalne) delitve v slovenski družbi, ključne lastnosti posamičnih hierarhičnih in funkcijskih družbenih enot, njihove medsebojne delitve, povezanosti in prepletenosti

• na primeru slovenske družbe razume pojem, pogojenost, prepletenost in posledice družbenih strukturnih sprememb

• samostojno išče, kritično reflektira in uporablja uradne statistike ter izsledke empiričnih družboslovnih raziskav, ki se nanašajo na slovensko družbo oz. to družbo postavljajo v širšo primerjalno perspektivo

• spremlja in na podlagi pridobljenega družboslovnega


• comprehends the keys sociological concepts, related to the phenomenon of social structure and is capable to apply them in Slovenian context

• comprehends the main characteristics of Slovenian society and its place in the European and global context

• comprehends the concepts, related to social order and is capable to apply them in Slovenian context

• comprehends hierarchical and functional divisions of Slovenian society

• on the example of Slovenian society comprehends the phenomenon of social change, its dynamics and consequences

• is capable of analysis of empirical evidence from social science surveys in a comparative perspective

• is capable of critical reflection of Slovenian social situation



www.fis.unm.si

znanja samostojno kritično reflektira ključne lastnosti in spremembe v slovenski družbi




• seminarske vaje (refleksija izkušenj, projektno delo, timsko delo, metode kritičnega mišljenja

• diskusija, sporočanje povratne informacije, socialne igre)



• oblikovanje portfolija in samostojen študij (motiviranje, usmerjanje, samoopazovanje, samouravnavanje, refleksija)

• samostojno raziskovanje

• lectures with student's active participation (explanation, discussion, questions, cases, problem-solving)

• seminars (reflexion about experiences, project work, team work, method of critical thinking, discussion, feed-back, social games)

• experimential exercises based on experience, cooperative and problem learning (individual study, discussion, explanation, observation, team work, case study, method of critical reading and writing, role play, co-operative learning, portfolio, evaluation, self-evaluation)


• portfolio and individual study (motivation, mentorship, self-observation, self-fulfilment, reflexion)

• individual research work



Assessment:


• kolokvij • seminarska naloga

50 50


• mid-term exam • seminar paper

Reference nosilca / Lecturer's references: • ADAM, Frane, TOMŠIČ, Matevž. The dynamics of elites and the type of capitalism :

Slovenian exceptionalism?. Historical social research, ISSN 0172-6404, 2012, vol. 37, no. 2, str. 53-70.

• TOMŠIČ, Matevž, VEHOVAR, Urban. Quality of governance in "Old" and "New" EU member states in a comparative perspective. Sociológia, ISSN 0049-1225, 2012, ročnik 44, č. 3, str. 367-384



www.fis.unm.si

• TOMŠIČ, Matevž, VEHOVAR, Urban. Quality of governance in "Old" and "New" EU member states in a comparative perspective. Sociológia, 2012, ročnik 44, č. 3, str. 367-384

• TOMŠIČ, Matevž. Elites in post-communist societies. London: Vega press, 2011 • Adam, Frane in Matevž Tomšič (2002): »Elite (re)configuration and politico-economic

performance in post-socialist countries«. Europe-Asia Studies, let. 54, št. 3, str. 435-454 • ADAM, Frane, MAKAROVIČ, Matej, RONČEVIĆ, Borut, TOMŠIČ, Matevž. The challenges

of sustained development : the role of socio-cultural factors in East-Central Europe. New York; Budapest: Central European University Press, cop. 2005.

• TOMŠIČ, Matevž. Politična stabilnost v novih demokracijah. Ljubljana: Znanstveno in publicistično središče, 2002.

Political Systems and Policy Analysis

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Politične ureditve in analiza politik Course title: Political Systems and Policy Analysis



Letnik Academic

year

Semester Semester


- Drugi Tretji


- Second Third


1-ISD-VS,UN-PUAP-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 45 - - 105 6 Nosilec predmeta / Lecturer: red. prof. dr. Matevž Tomšič



www.fis.unm.si

Jeziki / Languages:




Prerequisits:

Pogoj za vključitev v delo je vpis v 2. letnik študija. Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati seminarsko nalogo.

Condition for participation is enrollment into 2nd year of study. Prior to the exam, the student has to prepare and defend seminar work.

Vsebina:


• teoretične opredelitve političnih sistemov ter umestitev slovenskega političnega sistema v obravnavani teoretični okvir

• značilnosti političnih sistemov s poudarkom na vprašanju suverenosti, demokratičnosti, participacije, civilne družbe

• načelo delitve oblasti, pristojnosti in odnosi med posameznimi vejami oblasti s poudarkom na izvršni in zakonodajni veji

• parlamentarizem (razvoj), vloga poslanca v odnosu do stranke (poslanska skupina) in parlamenta kot institucije

• politične stranke in lobiranje • volilni sistemi in volilne kampanje • vlada in predsednik države - funkcije

odnos do zakonodajne in sodne veje oblasti – pristojnosti, odgovornost

• pomen in postopek volitev predsednika države in parlamenta, volilna pravila in postopki

• nacionalna država kot osnovna suverena enota v odnosu do Evropske unije (odnos med nadnacionalnim in medvladnim)

• opredelitev in tipi javnih politik (razmerja med politics, polity in (public) policy)

• javnopolitični instrumenti in igralci • opredelitev analize politik (policy

• theoretical definition of political systems • contextualisation of slovenian political

system in different theoretical frameworks

• characteristics of political systems with main stress in soveregnity, democracy, participation and civil society

• principle of separation of powers and relations between different branches of power, with main emphasis on legislative and executive

• parlamentarism and its development, the role of members of parliament in relation to political parties and to parliament as institution

• political parties and lobbying • electoral systems and campaigns • governement and president of the state;

functions and relations with legislative and judicial power

• meaning and electoral procedure in the case of president of the state, parliamentary elections, electoral procedures

• national state and sovereignity in relation to the European Union (supranational and intergovernmental organizations)

• definition and types of public policies (relation between politics, polity and policy)

• public policy instruments and actors • definition of policy analysis



www.fis.unm.si

analysis) • metode za analizo politik • faze javnopolitičnih procesov

(iniciacija, dnevni red, izbira rešitve, odločanje, implementacija, vrednotenje)

• javnopolitična omrežja

• methods of policy analysis • phases of policy processes (iniciation,

agenda,the choice of solution, decision making, implementation, evaluation)

• public policy networks

Temeljni literatura in viri / Readings: • Grad, F., Kaučič, I., Ribičič, C., Kristan I. (1999): Državna ureditev Slovenije, 3.

spremenjena in dopolnjena izdaja, Uradni list RS, Ljubljana. • Hague R & Harrop M. (2007): Comparative Government and Politics: An Introduction.

Palgrave. • Hampshire, New York. (7th edition). • Maychrzak, Ann (1984): Methods for Policy Research, Sage, Newbury Park, London,

New Delhi. • Parsons, W. (2003): Public policy: an introduction to the theory and practice of policy

analysis, E. Elgar, Cheltenham. • Hogwood B.W. & Gunn L.A. (1984): Policy Analysis for the Real World. Oxford University

Press. Oxford, New York. Cilji in kompetence:







• sposobnost timskega dela, tj. pripravljenost na sodelovanje, kooperativnost, upoštevanje mnenj drugih in izpolnjevanje dogovorjene vloge v okviru tima in skupine



• knowledge and understanding of social processes and ability to analyse them, their synthesis and development of different solutions as well as anticipation of consequences

• knowledge of different research methods, procedures and processes in the field of social sciences

• development of crititcal and self-critical judgement

• ability of flexible use of knowledge in practice

• ability for team work, readyness for cooperation fulfiling delegated tasks within the team or group

• ability to solve concrete social and work issues by using social science methods

• ability to gather, select and assess new information and capability of its interpretation



www.fis.unm.si


• sposobnost interdiciplinarnega pristopa, ki se kaže kot razumevanje splošne strukture družbenih ved ter povezanosti med njenimi posameznimi disciplinami in poddisciplinami


• poznavanje in razumevanje teoretičnih osnov analitičnega in svetovalnega dela (prenos znanja do uporabnika)

• capability for interdisciplinary approach shown in comprehension of general stucture of social sciences and linking among their specific disciplines and sub disciplines

• understanding of interpersonal and institutional relations within the social environment, ability of complex systematic understanding and acting

• knowledge and understanding of theoretical basics of analytical and consultant work (transfer of knowledge to final user)




• pozna osnovne značilnosti različnih političnih sistemov in procese njihovega razvoja

• pozna značilnosti slovenskega političnega sistema, teoretično osnovo delitve oblasti ter sistem delitve oblasti v slovenskem političnem sistemu

• razlikuje med različnimi volilnimi sistemi, ter pozna njihove značilnosti;

• pozna pristojnosti in razmerja med posameznimi deli političnega sistema

• pozna osnovna načela delovanja EU oz. razmerja med nacionalno državo in EU

• pozna načelo subsidiarnosti v kontekstu EU povezovanja

• je usposobljen za samostojno kritično vrednotenje in analiziranje različnih političnih sistemov in vrednotenje njihovih delov


• knows basic charactersitics of different political systems, and procedure of their developement

• knows basics of slovenian political system, theoretical basics of seperation of powers within the slovenian political system

• understands different electoral systems and knows differences among them

• knows competences and relations between main actors in political system

• knows basics of the EU and relations between national states and EU

• knows principle of subsidiarity within the EU

• is capable of independent and critical evaluation and analysis of different political systems and assessment of their institutions

• understands the concept of public



www.fis.unm.si

• razume koncept javnih politik in razlikuje med politics, polity in public policy

• pozna značilnosti posameznih faz procesa oblikovanja in izvajanja javnih politik (policy procesa)

• obvlada osnovne metode analize politik (policy analize)

policies and differentiates between policy, polity and politics

• knows policy process and policy cycle phases

• is capable of using basic policy methods




• izdelava in javni ustni zagovor posamične seminarske naloge

• sodelovanje pri ocenjevanju in diskusiji o predstavljenih seminarskih nalogah drugih kolegov

• lectures with active participation of students (explanation, discussion, questions, examples, solving situations)

• preparation and public defense of individual seminar work

• active assessment and discussion on individual seminar work of other students



Assessment:


• pisni izpit • izdelava seminarske naloge

in njena javna predstavitev

50 50


• written exam • seminar work and its defense

Reference nosilca / Lecturer's references: • ADAM, Frane, TOMŠIČ, Matevž. The dynamics of elites and the type of capitalism : Slovenian

exceptionalism?. Historical social research, ISSN 0172-6404, 2012, vol. 37, no. 2, str. 53-70. • TOMŠIČ, Matevž, VEHOVAR, Urban. Quality of governance in "Old" and "New" EU

member states in a comparative perspective. Sociológia, ISSN 0049-1225, 2012, ročnik 44, č. 3, str. 367-384

• TOMŠIČ, Matevž, VEHOVAR, Urban. Quality of governance in "Old" and "New" EU member states in a comparative perspective. Sociológia, 2012, ročnik 44, č. 3, str. 367-384

• TOMŠIČ, Matevž. Elites in post-communist societies. London: Vega press, 2011 • Adam, Frane in Matevž Tomšič (2002): »Elite (re)configuration and politico-economic

performance in post-socialist countries«. Europe-Asia Studies, let. 54, št. 3, str. 435-454 • ADAM, Frane, MAKAROVIČ, Matej, RONČEVIĆ, Borut, TOMŠIČ, Matevž. The challenges

of sustained development : the role of socio-cultural factors in East-Central Europe. New York; Budapest: Central European University Press, cop. 2005.

• TOMŠIČ, Matevž. Politična stabilnost v novih demokracijah. Ljubljana: Znanstveno in publicistično središče, 2002.



www.fis.unm.si

Research Practice

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Raziskovalni praktikum Course title: Research Practice



Letnik Academic

year

Semester Semester

Informatika v sodobni družbi, univerzitetni študijski program prve stopnje

- Tretji Peti

Informatics in Contemporary Society, first cycle Academic Study programme

- Third Fifth


1-ISD-UN-RP-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

15 - 30 - 30 105 6 Nosilec predmeta / Lecturer: izr. prof. dr. Nadja Damij Jeziki / Languages:




Prerequisits:

Vpis v 3. letnik študija. Ni posebnih pogojev. Third year enrolment. No special requirements.

Vsebina: Content (Syllabus outline): • Opredelitev raziskovanja. • Življenjski cikel raziskovanja. • Izbira raziskovalne teme. • Oblikovanje raziskovalnih vprašanj. • Načrtovanje študije. • Identifikacija relevantne literature in

virov.

• The nature of research. • The research life-cycle. • Selecting a research topic. • Formulating research questions. • Study design. • Identifying relevant literature and other

sources.



www.fis.unm.si

• Pripravljanje pregleda literature. • Pisanje raziskovalnih predlogov. • Pisanje zaključne naloge (diplomske,

…). • Pisanje člankov in publikacij. • Veščine predstavljanja. • Raziskovalna etika. • Teme, specifične za posamezna

raziskovalna področja, ki si jih izberejo študenti, npr. kvantitativne metodologije, kvalitativne metodologije, izbira pravih orodij, itd.

• Writing annotated bibliographies. • Writing research proposals. • Writing a thesis. • Paper writing and publications. • Presentation skills. • Research ethics. • Topics, specific for students’ particular

research areas, e.g. quantitative methodologies, qualitative methodologies, choosing the right tools, etc.

Temeljni literatura in viri / Readings: Ni predpisane knjige. Zahtevana študijska literatura bo podana za vsako predavanje posebej. There is no prescribed textbook. Required reading will be provided for each lecture. Cilji in kompetence:


Študentom podati metodološke temelje in različne veščine, potrebne za izvajanje raziskovalnih projektov na področju informacijskih tehnologij.

Provide students with methodological foundations and variety of skills required to carry out research projects in information technology.



Znanje in razumevanje: • osnovnih raziskovalnih konceptov • raziskovalnih metod in tehnik za

raziskovanje na področju informacijskih tehnologij

• ključnih raziskovalnih vprašanj na področju informacijskih tehnologij

• kako načrtovati in izvajati raziskovalno delo

• kako pripraviti pregled raziskovalne literature za določeno raziskovalno področje

• kako vrednotiti raziskovalne ideje in predloge

• etičnih raziskovalnih praks Ključne veščine za: • izbiro primernih raziskovalnih metod in

tehnik za dani raziskovalni problem • pisanje učinkovitih raziskovalnih

Knowledge and understanding: • basic research concepts • research methods and techniques

relevant to information technology research

• key issues in information technology research

• how to design and carry out research work

• how to review research literature on a specific research topic

• how to evaluate research ideas and proposals

• ethical research practices Key skills to: • select proper research methods and

tools for given research needs • write effective research proposals and



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predlogov in člankov • za učinkovito predstavljanje

raziskovalnih rezultatov • za vrednotenje raziskovalnih idej in

predlogov • za zbiranje, analizo in interpretacijo

podatkov

papers • make efficient presentations of research

results • evaluate research ideas and proposals • collect, analyse and interpret relevant

data



• izbrana predavanja, osredotočena na različne vrste raziskovanja in raziskovalnih metod

• delavnice in vaje z aktivno udeležbo študentov (predstavitve, diskusije, študije primerov, reševanje problemov)

• konzultacije • priprava seminarja • samostojni študij

• selected lectures focused on different kinds of research and methods suitable for their conduct

• workshops and tutorials with active students’ engagement (presentations, discussions, case studies, problem solving)

• consultations • seminar work • self-study



Assessment:

Način (pisni izpit, ustno izpraševanje, naloge, projekt): • prisotnost na predavanjih in

vajah, kjer bo potekalo delo pod nadzorom predavatelja; v roku opravljene naloge, ki jih določi predavatelj; predstavitev seminarske naloge

• seminarska naloga Študent mora pozitivno opraviti vsak posamezni izdelek

40

60

Type (examination, oral, coursework, project): • attendance at lectures and lab

sessions which will be monitored by the lecturer; various assignments set by the lecturer which have to be completed by the given deadline; presentation of the seminar work

• written seminar work A student has to obtain a pass in each deliverable item to pass the subject as a whole




• MILEVA-BOSHKOSKA, Biljana, DAMIJ, Talib, JELENC, Franc, DAMIJ, Nadja. Abdominal surgery process modeling framework for simulation using spreadsheets. Computer



www.fis.unm.si

methods and programs in biomedicine, ISSN 0169-2607. [Print ed.], 2015, vol. 21, iss. 1, str. 1-13, doi: 10.1016/j.cmpb.2015.05.001.





• DAMIJ, Nadja, DAMIJ, Talib, GRAD, Janez, JELENC, Franc. A methodology for business process improvement and IS development. Information and software technology, ISSN 0950-5849. [Print ed.], 2008, vol. 50, str. 1127-1141, doi: 10.1016/j.infsof.2007.11.004.


Operation Systems

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Operacijski sistemi Course title: Operation Systems



Letnik Academic

year

Semester Semester


- Drugi ali tretji

Četrti ali šesti

Informatics in Contemporary Society, first cycle Professional Study

- Second or

third Fourth or

sixth



www.fis.unm.si

Programme and Academic Study programme Vrsta predmeta / Course type Izbirni / Elective Univerzitetna koda predmeta / University course code:

1-ISD-VS,UN-IP-OS-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 15 - 30 105 6 Nosilec predmeta / Lecturer: doc. prof. dr. Biljana Mileva Boshkoska Jeziki / Languages:




Prerequisits:

Študent/študentka mora pred pristopom k izpitu tekoče izpolnjevati obveznosti z vaj ter pripraviti in uspešno zagovarjati svoj projekt.

The prerequisite is enrolment into the first year of the study. Student has to pass all requirements given at the exercises, defend the homeworks, and prepare and defend the seminar work.

Vsebina: Content (Syllabus outline): • Uvod in osnovni pojmi. • Upravljanje procesov (procesi in

komunikacija med njimi, niti, razporejanje, sinhronizacija, smrtni objem).

• Upravljanje pomnilnika (glavni pomnilnik, navidezni pomnilnik).

• Shranjevanje podatkov (datotečni sistemi, vmesniki za dostop do njih, izvedba in upravljanje, masovno shranjevanje, vhodno izhodni sistemi).

• Zaščita in varnost sistema (dodeljevanje in upravljanje pravic, grožnje in obramba, uporaba kriptografije in požarnih pregrad ..).

• Porazdeljeni sistemi (porazdeljene strukture, datotečni sistemi,

• Introduction to operating systems (OS): and basic OS terms.

• Management of processes (processes and communication between them, threads, scheduling, synchronization, deadlocks).

• Memory management (main memory, virtual memory).

• Data management (file systems, interfaces to data access, execution and management, mass storage, input and output).

• Protection and Safety System (allocation and management of rights, threats and defence, the use of cryptography and firewalls ..).

• Distributed systems (distributed structure,



www.fis.unm.si

koordinacijski mehanizmi). • Primerjava dveh večjih (eden temelječ

na Windows in drugi na Unix osnovi) in enega manjšega operacijskega sistema (npr. Symbian).

file systems, coordination mechanisms). • Comparison of the two major (one

based on Windows and other Unix based), and a small operating system (eg. Symbian).

Temeljni literatura in viri / Readings: • SILBERSCHATZ, Avi, GALVIN, Peter Baer, GAGNE, Greg. Operating System Concepts, 7.

izdaja, John Wiley & Sons 2004. • TANENBAUM, Andrew S. Modern Operating Systems, 3. izdaja, Prentice Hall 2007. Cilji in kompetence:




• sposobnost za reševanje konkretnih problemov z uporabo znanih orodij in metod

• sposobnost uporabe informacijsko-komunikacijske tehnologije in sistemov na različnih področjih

• razvoj veščin in spretnosti pri uporabi znanja na področju tehničnih ved s pomočjo reševanja teoretičnih ali empiričnih problemov


• development of critical and self critical evaluation

• competence for solving specific problems with the use of known tools and methods

• the competence to use information communication technology and systems in various fields.

• development of abilities and skills for the use of knowledge in the field of tehnical sciences with the aid of solving theoretic or empirical problems




• se seznani z osnovnimi zakonitostmi operacijskih sistemov, ki stojijo za vsakim računalniškim sistemom

• poglobljeno razume zgradbo in delovanje računalnika

• spozna mehanizme, ki (med drugim) omogočajo delovanje sodobnih visoko zmogljivih aplikacij

• razume kompleksnost problemov, ki jih mora reševati sodoben operacijski sistem (večpredstavnost,


• becomes familiar with the basic laws of operating systems that stand behind every computer system

• will thoroughly understand the structure and functioning of the computer

• learn about the mechanisms that (among other things) allow for the functioning of modern high-performance applications

• understands the complexity of the



www.fis.unm.si

hitra omrežja, večje število procesorjev, hitra obdelava ogromne količine podatkov…)

• pozna in razume varnostna tveganja operacijskega sistema in se zaveda omejitev, ki jih postavlja odpravljanje tveganj zgolj na nivoju operacijskega sistema

• uporablja dva prevladujoča operacijska sistema

problems to be solved by a modern operating system (multimedia, high-speed network, increasing the number of processors, high-speed processing of massive amounts of data ...)

• knows and understands the safety risks of operating system and is aware of the limitations imposed by addressing risks only at the level of the operating system

• uses two well-known operating systems




• vaje, kjer bodo študentje pri konkretnih problemih ponovili, utrdili in dodatno osvetlili pojme in metode, spoznane na predavanjih

• vaje v računalniški učilnici: pri teh vajah bodo študentje spoznali konkretne protokole in orodja, o katerih so se učili na predavanjih. te vaje bodo potekale v manjših skupinah, tako da bo imel vsak študent na razpolago en računalnik

• projekt: v okviru samostojnega dela ali dela v parih bo študent samostojno preučil določeno vsebinsko področje ali rešil konkreten problem ter ga ustrezno predstavil


• tutorials where students will rehearse, revise and lit up concepts, and methods encountered at lectures

• tutorials in computer labs, during which students will learn about specific protocols and tools that have been learned in class. these exercises will take place in small groups so that each student will have available a single computer

• seminar work, is an individual assignment for each student, in order to independently examine a specific subject or solve a specific problem, and present it to the rest of the class



Assessment:


• pisni izpit • projekt • vaje

50 20 30


• written exam • project • tutorials



www.fis.unm.si


surgery process modeling framework for simulation using spreadsheets. Computer methods and programs.

• MILEVABOSHKOSKA, Biljana, BOHANEC, Marko, BOŠKOSKI, Pavle, JURIČIĆ, Đani. Copula based decision support system for quality ranking in the manufacturing of electronically commutated motors. Journal of intelligent manufacturing, 2015, vol. 26, no. 2, str. 281 – 293.

• MILEVA BOSHKOSKA, Biljana, BOŠKOSKI, Pavle, DEBENJAK, Andrej, JURIČIĆ, Đani. Dependence among complex random variables as a fuel cell condition indicator. Journal of power sources, jun. 2015, vol. 284, str. 566-573.


• MESTI, Tanja, MILEVA-BOSHKOSKA, Biljana, KOS, Mitja, TEKAVČIČ, Metka, OCVIRK, Janja. The cost of systemic therapy for metastatic colorectal carcinoma in Slovenia : discrepancy analysis between cost and reimbursement. Radiology and oncology, ISSN 1318-2099, Jun. 2015, vol. 49, no. 2, str. 200-208.

• MILEVA-BOSHKOSKA, Biljana, BOHANEC, Marko. A method for ranking non-linear qualitative decision preferences using copulas. International journal of decision support system technology, ISSN 1941-6296, 2012, vol. 4, no. 4, str. 1-17.

Introduction to Programming

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Uvod v programiranje Course title: Introduction to Programming



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First

Vrsta predmeta / Course type Obvezni / Obligatory



www.fis.unm.si

Univerzitetna koda predmeta / University course code:

1-ISD-VS,UN-UP-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - - - 45 135 7 Nosilec predmeta / Lecturer: doc. dr. Bernard Ženko Jeziki / Languages:




Prerequisits:


Enrollment into the first year of the study programme, appropriate presence during the lab work and finished student project.

Vsebina:


• Uvod: programiranje kot reševanje problemov, kratka zgodovina programiranja.

• Algoritem in program: diagrami poteka. • Strukturirano in objektno usmerjeno

programiranje: ključni koncepti objektno usmerjenega programiranja.

• Programski jezik Java: javanski virtualni računalnik.

• Osnovni podatkovni tipi. • Deklaracije konstant in spremenljivk. • Prireditveni stavek, pisanje izrazov,

operatorji. • Krmilni stavki. • Tabele, nizi. • Metode, razredi in objekti, konstruktorji,

dedovanje. • Podprogrami, dogodki, izjeme. • Napotki za dobro programiranje.

• Introduction: programming as problem solving. Brief history of programming.

• Algorithm and program: flowcharts. • Structured and object oriented

programming:key concepts of object oriented programming.

• Java programming language: Java virtual machine.

• Basic data types. • Declaring constants and variables. • Assignments, expressions, operators. • Control flow statements. • Arrays. • Methods, classes and objects,

constructors, inheritance. • Subroutines, events, exceptions. Good

programming practices.



www.fis.unm.si

Temeljni literatura in viri / Readings: • Mrhar, P. (2002). Java 2 - prvi korak. Šempeter pri Gorici: Flamingo. • Mesojedec, U. (1997). Java: Programiranje za Internet. Ljubljana: Pasadena. • Mesojedec, U., Fabjan B. (2004). Java2: temelji programiranja. Ljubljana: Pasadena. • Barnes, D.J., Kolling, M. (2004). Objects First with Java - A Practical Introduction using

BlueJ, 2nd Edition, Prentice Hall/Pearson Education. • Wirth, N. (1985). Računalniško programiranje I. Ljubljana: DMFA. • Wirth, N. (1985). Računalniško programiranje II. Ljubljana: DMFA. • Učno razvojno okolje za Javo - BlueJ (URL: http://www.bluej.org/index.html). Cilji in kompetence:



• poznavanje osnovnih pojmov računalniškega programiranja


• razumevanje računalniških sistemov in arhitektur

• sposobnost samostojnega reševanja realnih problemov s pomočjo računalniškega programiranja

The module contributes to the following general and module specific competences:

• knowledge of basic principles of computer programming

• ability to write a problem in the form of an algorithm and its conversion into a computer program with the use of up-to-date programming tools

• understanding of computer systems and architectures

• ability to autonomously solve real life problems with computer programming




• razvije logično razmišljanja in sposobnosti načrtovanja programov

• razume pomen načrtovanja in testiranja programske opreme

• zmore dekompozicijo večjega problema na več manjših in obvladljivih

• razume, kako računalnik deluje na logični ravni

• operativno pozna programski jezik Java


• develops the ability of logical thinking and designing computer programs

• understands the importance of software design and testing

• is able to decompose a bigger problem into a set of smaller ones that are easier to handle

• understands the logical principles of computers

• is able to write programs in Java



www.fis.unm.si





• seminarska naloga bo študente naučila samostojnega reševanja praktičnih problemov v programiranju




• student project will prepare the students to autonomously solve practical programming problems



Assessment:


• pisni izpit

100


• written exam


• DEBELJAK, MARKO, POLJANEC, ALEŠ, in ŽENKO, BERNARD (2014) Modelling forest growing stock from inventory data : a data mining approach. Ecological indicators, 41, str. 30-39.

• ŠKRABAN, JURE, DŽEROSKI, SAŠO, ŽENKO, BERNARD, MONGUS, DOMEN, GANGL, SIMON in RUPNIK, MAJA (2013) Gut microbiota patterns associated with colonization of different clostridium difficile ribotypes. PloS ONE, 8(2), str. e58005-1-e58005-13.

• CAROTENUTO, MARIANEVE, DŽEROSKI, SAŠO, ŽENKO, BERNARD, SLAVKOV, IVICA, et al. (2013) Neuroblastoma tumorigenesis is regulated through the Nm23-H1/h-Prune C-terminal interaction. Scientific reports, 3, str. 1351-1-1351-11.

• ŠKRABAN, JURE, DŽEROSKI, SAŠO, ŽENKO, BERNARD, TUŠAR, LIVIJA in RUPNIK, MAJA (2013) Changes of poultry faecal microbiota associated with Clostridium difficile colonisation. Veterinary microbiology, 165 (3/4), str. 416-424.

• AHO, TIMO, ŽENKO, BERNARD, DŽEROSKI, SAŠO in ELOMAA, TAPIO (2012) Multi-target regression with rule ensembles. Journal of machine learning research, 13, str. 2367-2407.

• STOJANOVA, DANIELA, KOBLER, ANDREJ, OGRINC, PETER, ŽENKO, BERNARD in DŽEROSKI, SAŠO (2012) Estimating the risk of fire outbreaks in the natural environment. Data mining and knowledge discovery, 24 (2), str. 411-442.

• DŽEROSKI, SAŠO, PANOV, PANČE in ŽENKO, BERNARD (2009) Ensemble methods in machine learning. V: Meyers, R. A. (ur.) Encyclopedia of complexity and systems science. New York: Springer, 6, str. 5317-5325.

• KOBAL GRUM, DARJA, KOBAL, ALFRED BOGOMIR, ARNERIĆ, NIKO, HORVAT, MILENA, ŽENKO, BERNARD, DŽEROSKI, SAŠO in OSREDKAR, JOŠKO (2006) Personality Traits in Miners with Past Occupational Elemental Mercury Exposure. Environmental health perspectives, 114 (1), str. 290-296.

• DŽEROSKI, SAŠO in ŽENKO, BERNARD (2004) Is combining classifiers with stacking better than selecting the best one? Machine learning, 54, str. 255-273.



www.fis.unm.si

1st cycle study programme – Computer Science and Web Technologies ( RST)



www.fis.unm.si

Operating systems

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Operacijski sistemi Course title: Operating systems



Letnik Academic

year

Semester Semester

Računalništvo in spletne tehnologije, visokošolski strokovni študijski program prve stopnje

- Prvi Drugi

Computer Science and Web Technologies, first cycle Professional Study Programme

- First Second


2-RST-VS-OS-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 45 - - 105 6 Nosilec predmeta / Lecturer: doc. dr. Biljana Mileva Boshkoska Jeziki / Languages:




Prerequisits:

Pogoj za vključitev v delo je vpis v 1. letnik študija. Pogoj za pristop k izpitu so opravljene vse obveznosti na vajah, zagovor domačih nalog ter priprava in uspešen zagovor seminarske naloge.

The prerequisite is enrolment into the first year of the study. Student has to pass all requirements given at the exercises, defend the homeworks, and prepare and defend the seminar work.



www.fis.unm.si

Vsebina: Content (Syllabus outline): • Uvod:

Uvod v operacijske sisteme (OS): vrste in zgodovina OS, osnovne funkcionalnosti OS, koncepti, sistemski klici, strukture OS (arhitekture), primeri pogosteje uporabljanih OS.

• Procesi: Osnovni model procesa, koncepti in lastnosti, izvajanje procesov, medprocesna komunikacija (MPK), klasične težave pri MPK, upravljanje s procesi.

• Programiranje z nitmi: POSIX vmesniki za niti (vključno z nitmi pri Win32 in Javi), skupne spremenljivke, sinhronizacija niti, varnost pri nitih.

• Popolni zastoj: Računalniški viri, definicija in pogoji za zastoj; modeliranje zastojev, odkrivanje, izogibanje in preprečevanje zastojev.

• Razvrščanje: Večprogramsko okolje, vrste razvrščanja in cilji, razvrščanje v paketnih in interaktivnih sistemih ter sistemih, ki tečejo v realnem času.

• Upravljanje s pomilnikom: Osnovni principi upravljanja s pomilnikom, menjavanje in upravljanje prostega pomnilnika, virtualni pomnilnik in zamenjava strani, algoritmi za zamenjavo strani, segmentacija.

• Datotečni sistem: Definicija, datoteke in imeniki, praktične izvedbe in primeri datotečnih sistemov.

• Vhod in izhod (V/I): Načela V/I pri strojni in programski opremi, računalniški diski.

• Introduction: Introduction to operating systems (OS): types and history of OS, basic OS functionalities, concepts, system calls, OS structures (architectures), examples of frequently used computer OSs.

• Processes: Basic process model, concepts and characteristics, implementation of processes, inter-process communication (IPC), classical IPC problems, process management.

• Programming with threads: POSIX threads interface (including Win32 and Java threads), shared variables, thread synchronization, thread safety.

• Deadlocks: Computer resources, deadlock definition and conditions, modelling deadlocks, detection, avoidance and prevention of deadlocks.

• Sheduling: Multi-program environment, scheduling types and goals, scheduling in batch, interactive and real-time systems.

• Memory management: Basic memory management, swapping and managing free memory, virtual memory and paging, page replacement algorithms, segmentation.

• File sistem: Definition, files and directories, file system implementation and examples.

• Input and output (I/O): Principles of I/O in hardware and software, computer disks.



www.fis.unm.si

Temeljni literatura in viri / Readings: • SILBERSCHATZ, ABRAHAM, GALVIN, PETER BAER, GAGNE, GREG (2005) Operating

System Concepts. John Wiley & Sons. • TANENBAUM, ANDREW STUART (2007). Modern Operating Systems. Prentice Hall. • KERNIGHAN, BRIAN, RITCHIE, DENNIS M (1994) Programski jezik C. 4. Izdaja. Ljubljana:

Fakulteta za elektrotehniko in računalništvo. • ZAZULA, DAMJAN (1997) Operacijski sistemi. Maribor: Založniška tiskarska dejavnost

tehniških fakultet. • BLUM, RICHARD (2008) Linux Command Line and Shell Scripting Bible. Wiley Publishing,

Inc. • HOVER, ADAM (2010) System Programming with C and Unix. Pearson Education. • Prosojnice s predavanj in vaj (dostopne prek https://moodle.fis.unm.si/). Cilji in kompetence:


Učna enota prispeva k razvoju naslednjih splošnih in predmetno-specifičnih kompetenc: Splošne kompetence: • poznavanje osnovnih principov

modernih operacijskih sistemov • sposobnost praktične uporabe najbolj

razširjenih operacijskih sistemov • sposobnost fleksibilne uporabe znanja v

praksi • osnovna znanja potrebna za razvoj

aplikacij na različnih operacijskih sistemih

Predmetno-specifične kompetence: • poznavanje temeljnih algoritmov v

operacijskih sistemih • kodiranje algoritmov za medprocesno

komunikacijo v primernem računalniškem okolju


General competences: • familiarity with the basics of principles

used in modern operating systems • familiarity with practical usage of most

frequently used operating systems • ability to use the acquired knowledge in

practice in a flexible manner. • basic knowledge relevant for

application development on various operating systems

Subject-specific competences: • familiarity with the fundamental

algorithms used in operating systems • ability to code the algorithms for inter-

process communications within appropriate software framework



Znanje in razumevanje: Študent/študentka: • se seznani z osnovnimi zakonitostmi,

funkcionalnostmi in koncepti najpogostejših računalniških operacijskih sistemov

• razume kompleksnost MPK in se seznani s problemi, ki jih mora reševati sodoben operacijski sistem

Knowledge and understanding: The student: • becomes familiar with the basic

structure, functionality and concepts of the most frequently used computer operating systems

• understands the complexity of ICP and get familiar with problems that are managed by modern operating system



www.fis.unm.si

• razume razliko med procesi in nitmi in se seznami z različnimi algoritmi za upravljanje z nijmi

• razume potrebo po razvrščanju in se seznani z algoritmi, ki se uporabljajo za razvrščanje v različnih operacijskih sistemih

• razume problematiko in algoritme za upravljanje s pomnilnikom

• razume strukturo datotečnih sistemov • razume načela V/I strojne in programske

opreme

• understands the difference between processes and threads, and gets familiar with different agorithms for their management

• understands the need of scheduling and gets familiar with the algorithms used for scheduling in different operating sistems

• understands the problems and algorithms for memory management

• understands the structure of the file systems

• understands the principles of I/O hardware and software





• domače naloge, s katerimi bodo študentje sproti ponavljali in utrjevali snov

• seminarska naloga, kjer bo v okviru samostojnega dela študent preučil določeno vsebinsko področje ali rešil konkreten problem ter ga ustrezno predstavil


• tutorials where students will rehearse, revise and lit up concepts, and methods encountered at lectures

• homeworks, that will force students to study and consolidate knowledge continuously

• seminar work, is an individual assignment for each student, in order to independently examine a specific subject or solve a specific problem, and present it to the rest of the class



Assessment:

Način (pisni izpit, ustno izpraševanje, naloge, projekt): • pisni izpit • seminarska naloga in domače

naloge

50 50

Type (examination, oral, coursework, project): • written exam • seminar work, homeworks


• MILEVA BOSHKOSKA, Biljana, DAMIJ, Talib, JELENC, Franc, DAMIJ, Nadja. Abdominal surgery process modeling framework for simulation using spreadsheets. Computer methods and programs.

• MILEVABOSHKOSKA, Biljana, BOHANEC, Marko, BOŠKOSKI, Pavle, JURIČIĆ, Đani. Copula based decision support system for quality ranking in the manufacturing of electronically commutated motors. Journal of intelligent manufacturing, 2015, vol.



www.fis.unm.si

26, no. 2, str. 281 – 293. • MILEVA BOSHKOSKA, Biljana, BOŠKOSKI, Pavle, DEBENJAK, Andrej, JURIČIĆ, Đani.

Dependence among complex random variables as a fuel cell condition indicator. Journal of power sources, jun. 2015, vol. 284, str. 566-573.


• MESTI, Tanja, MILEVA-BOSHKOSKA, Biljana, KOS, Mitja, TEKAVČIČ, Metka, OCVIRK, Janja. The cost of systemic therapy for metastatic colorectal carcinoma in Slovenia : discrepancy analysis between cost and reimbursement. Radiology and oncology, ISSN 1318-2099, Jun. 2015, vol. 49, no. 2, str. 200-208.

• MILEVA-BOSHKOSKA, Biljana, BOHANEC, Marko. A method for ranking non-linear qualitative decision preferences using copulas. International journal of decision support system technology, ISSN 1941-6296, 2012, vol. 4, no. 4, str. 1-17.

Introduction to Algorithms

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Uvod v algoritme Course title: Introduction to Algorithms



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


2-RST-VS-UA-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 45 - - 105 6 Nosilec predmeta / Lecturer: doc. dr. Biljana Mileva Boshkoska



www.fis.unm.si

Jeziki / Languages:




Prerequisits:


Enrolment into the first year of the study programme, appropriate presence during the lab work and finished student project.

Vsebina:


Vloga algoritmov v računalništvu • Pregled algoritmov in njihovo mesto v

sodobnih računalniških sistemih. • Definicija algoritma in primeri. • Algoritmi kot tehnologija (njihova

uporaba v strojni opremi, grafičnih uporabniških vmesnikih, objektno orientiranih sistemih in omrežjih).

Uvedba osnovnih algoritemskih pristopov v psevdo jeziku • Določitev vhodov in izhodov v

algoritmu. • For zanke. • While zanke. • If then pravila odločanja. Predstavitev funkcij preko algoritmov

• Prvi algoritem, ki rešuje problem sortiranja zaporedja od n številk z uporabo psevdokoda.

• Definiranje strukture algoritma, tako da ga lahko študent/študentka uporabi v jeziku po svoji izbiri.

• Dva različna tipa algoritmov za sortiranje: pojasnjuje postopen pristop s pomočjo vstavitve vrste in rekurzivna tehnika z zlivanjem, "deli in vladaj".

• Naučiti se, kako izračunati čas izvršitve algoritmov, ko se vrednost n povečuje,

• Razviti koristen zapis, ki izrazi časovno izvedbo algoritmov.

The Role of Algorithms in Computing • Overview of algorithms and their

place in modern computing systems. • Defenition of algorithm and

examples. • Algorithmes as technology (their

usage in hardware, graphical user interfaces, objectoriented systems, and networks).

Introduction of basic algorithmic approaches in pseudo language

• Define inputs and outputs in the algorithm.

• For loops. • While loops. • If then decision rules.

Function representation and their growth with algorithms

• A first algorithm that solves the problem of sorting a sequence of n numbers using pseudocode.

• Explaining the structure of the algorithm so that a student can implement it in the language of his/hers choice.

• Diferent sorting algorithms: explaining the incremental approach through insertion sort, and a recursive technique through merge sort, "divide and conquer."

• Learn how to calculate the execution time of the algorithms when the value of n increases,



www.fis.unm.si

Predstavitev osnovnih podatkovnih struktur in algoritmov za delo z njimi

• Tabele. • Seznami. • Skladi. • Kopice.

• Develop a useful notation to express the time execution of algorithms.

Introduction of basic data structures and algorithms with them

• Tables. • Lists. • Stacks. • Heaps.

Temeljni literatura in viri / Readings: • KONONENKO, IGOR (1996) Načrtovanje podatkovnih struktur in algoritmov. Ljubljana,

Založba FER in FRI. • KOZAK, JERNEJ (1986) Podatkovne strukture in algoritmi, Ljubljana, DMFA. • WIRTH, NIKLAUS (1985) Računalniško programiranje I. Ljubljana: DMFA. • WIRTH, NIKLAUS (1985) Računalniško programiranje II. Ljubljana: DMFA. • CORMEN, THOMAS, LEISERSON, CHARLES, RIVEST, RONALD in STEIN, CLIFFORD (2001)

Introduction to Algorithms, 2. izdaja, MIT Press, Cambridge. Cilji in kompetence:


Učna enota prispeva k razvoju naslednjih splošnih in predmetno-specifičnih kompetenc: Splošne kompetence: • poznavanje osnov računalništva in

informacijske tehnologije • usposobljenost za izvajanje vseh faz

razvoja računalniških aplikacij: načrtovanje, razvoj, zagon, prodaja, vzdrževanje

Predmetno-specifične kompetence: • poznavanje osnovnih podatkovnih

struktur in računalniških algoritmov • sposobnost samostojnega reševanja

realnih problemov z uporabo primernih podatkovnih struktur in algoritmov

•

The instructional unit contributes to the development of the following general and subject-specific competences: General competences: • familiarity with the basics of computer

science and information technology • competence to carry out all phases in

the development of computer applications: planning, development, start-up, sales, maintenance

Subject-specific competences: • familiarity with basic data structures and

computer algorithms • ability to independently solve real

problems by using adequate data structures and algorithms


Znanje in razumevanje: Študent/študentka: • razvije sposobnost logičnega

razmišljanja in reševanja problemov z

Knowledge and understanding: The student: • develops the ability of logical thinking

and problem solving with the use of



www.fis.unm.si

uporabo standardnih podatkovnih struktur in algoritmov

standard data structures and algorithms

Metode poučevanja in učenja: Learning and teaching methods:









Assessment:

Način (pisni izpit, ustno izpraševanje, naloge, projekt): • pisni izpit • vaje

50 50

Type (examination, oral, coursework, project): • written exam • lab work


surgery process modeling framework for simulation using spreadsheets. Computer methods and programs

• MILEVA BOSHKOSKA, Biljana, BOHANEC, Marko, BOŠKOSKI, Pavle, JURIČIĆ, Đani. Copula based decision support system for quality ranking in the manufacturing of electronically commutated motors. Journal of intelligent manufacturing, 2015, vol. 26, no. 2, str. 281 - 293

• MILEVA BOSHKOSKA, Biljana, BOŠKOSKI, Pavle, DEBENJAK, Andrej, JURIČIĆ, Đani. Dependence among complex random variables as a fuel cell condition indicator. Journal of power sources, jun. 2015, vol. 284, str. 566-573,




www.fis.unm.si

Electronic Communication and Literacy

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Elektronsko komuniciranje in pismenost Course title: Electronic Communication and Literacy



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


2-RST-VS-EKP-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 45 - - 105 6 Nosilec predmeta / Lecturer: izr. prof. dr. Nadja Damij, pred. Peter Geršič Jeziki / Languages:




Prerequisits:

Pogoj za vključitev v delo je vpis v 1. letnik študija. Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati seminarsko nalogo.

The prerequisite is enrolment into the first year of the study. Prior to the exam, the student has to prepare and defend the seminar work.



www.fis.unm.si

Vsebina: Content (Syllabus outline): • Uvod: predstavitev predmeta, njegovih

ciljev in kompetenc; predstavitev literature ter dodatnih virov za študij.

• Pregled koncepta komuniciranja: preko primerov pristopov k preučevanju komuniciranja prikažemo večdimenzionalnost koncepta in njegove uporabe.

• Oblike elektronskega komuniciranja: predstavitev različnih, vendar v tehnološkem smislu povezanih načinov komuniciranja in njihova klasifikacija glede na namen ter naravo.

• Sodobna uporaba e-medijev: primeri uporabe elektronskih medijev ter njihove vseprisotnosti v našem družbenem življenju.

• Poslovna uporaba e-medijev: primeri poslovnega izkoriščanja in priložnosti elektronskih medijev; dodatni poudarki na tveganja pri poslovni uporabi.

• Elektronsko komuniciranje v skupini: predstavitev posebnosti izkoriščanja e-komuniciranja za sodelovanje, predvsem v smislu sodelovanja projektnih skupin.

• Etika poslovnega komuniciranja: etika in etiketa elektronskih komunikacij, poslovni dopisi in oblike poslovnih dokumentov ter njihov namen; komuniciranje v mednarodnem okolju.

• Pisanje za elektronske vire: predstavitev posebnosti in omejitev različnih tipov elektronskih medijev s poudarkom na razumevanju priprave vsebin v poslovnem okolju.

• Priprava učinkovite predstavitve: posebnosti predstavitvenega praktikuma v poslovnem okolju.

• Introduction: presentation of the course, its goals and competences; literature review and additional resources.

• Review of the communication as a notion: through various views on the subject we present multidimensionality of the subject and its use.

• Forms of electronic communication: presentation of different but technologically interconnected ways of communication and its classification through means and nature.

• Contemporary use of e-media: examples of e-media usage and its omnipresence in everyday social life.

• E-media business usage: examples of business exploitation and opportunities of e-media with additional emphasis on risks present in business use.

• Electronic communications in the groups: presentation of special cases in using e-communication as a valuable tool for cooperation, especially in project groups.

• Ethics of business communication: ethics and etiquette in electronic communication, business letters and other forms of business correspondence and its purpose; communication in international setting.

• Writing for electronic media: presentation of special rules and limitations of various types of e-media with emphasis on understanding content preparation in business setting.

• Preparing efficient presentation: practical course and special considerations in business presentation.

Temeljni literatura in viri / Readings: • FISKE, JOHN (2004) Uvod v komunikacijske študije. Ljubljana: FDV. • EADIE, WILLIAM F. (ur.) (2009) 21st Century Communication: A Reference Handbook.

Thousand Oaks: SAGE. • MOŽINA, STANE, TAVČAR, MITJA, ZUPAN, NADA in KNEŽEVIČ, ANA NUŠA (2004) Poslovno

komuniciranje: evropske razsežnosti. Maribor: Obzorja.



www.fis.unm.si

Cilji in kompetence: Objectives and competences: Učna enota prispeva k razvoju naslednjih splošnih in predmetno-specifičnih kompetenc: Splošne kompetence: • poznavanje in razumevanje procesov, ki

jih je mogoče informacijsko podpreti z uporabo spletnih tehnologij, ter sposobnost za njihovo analizo, sintezo in predvidevanje rešitev ter njihovih posledic

• sposobnost razumevanja zahtev končnih uporabnikov oz. prepoznavanja priložnosti za nove spletne storitve in pretvorba s tem povezanih vsebinskih zahtev v tehniške specifikacije

Predmetno-specifične kompetence: • poznavanje vseh poglavitnih

elektronskih poslovnih komunikacijskih orodij in njihova učinkovita uporaba

• obvladovanje učinkovitega in smotrnega komuniciranje v poslovnem okolju, tako ustno kot pisno, z uporabo ustrezne terminologije

• poznavanje etike poslovnega komuniciranja in ustrezna aplikacija v praktičnih situacijah

The instructional unit contributes to the development of the following general and subject-specific competences: General competences: • familiarity with and understanding of

processes allowing information-aided use of web technologies, and the ability to analyse and synthesize them as well as predict solutions and their consequences

• ability to understand requirements of the final user or identify opportunities for new web services and conversion of related substantive requirements into technical specifications

Subject-specific competences: ● familiarity with all principal electronic

business communication tools and their effective use

● mastering effective and goal-oriented communication in the business world, oral as well as written, by using appropriate terminology

● familiarity with business communication ethics and its adequate application to practical situations



Znanje in razumevanje: Študent/študentka: • učinkovito uporablja poglavitna

poslovna elektronska komunikacijska orodja

• ustrezno jezikovno in oblikovno pripravi različne oblike poslovnih komunikacij, poročil in dokumentov

• demonstrira sposobnost izbire ustreznega elektronskega komunikacijskega orodja ali poslovne komunikacije v različnih poslovnih dogodkih

• prilagodi stil in način komunikacije

Knowledge and understanding: The student: • is effective in usage of common business

electronic communication tools • uses appropriate language and form for

various business communications, reports and documents

• demonstrates the ability to choose appropriate electronic communication tool or business communication in variety of business events

• adapts communication style and form to expectations of the recipient and is interactively adapting to



www.fis.unm.si

pričakovanju prejemnika; interaktivno se prilagaja komunikacijski situaciji

• je sposoben oblikovati in voditi komunikacijo v skupini ter pri tem uporabljati sodobna komunikacijska orodja

• aplicira pravila etike poslovnega komuniciranja v praktičnih situacijah in zmore selektivno presojati ustreznost uporabe pravil

• pripravi osnovno poslovno predstavitev ter jo na razumljiv način predstavi javnosti

communication situation • is able to establish and maintain

communication within the group by using modern communication tools

• apply the rules of ethics of business communication in practical situations and is able to selectively assess the adequacy of the rules

• is able to prepare basic business presentation with comprehensive public




• seminarske vaje (refleksija z lastnimi izkušnjami, projektno delo, timsko delo, metode kritičnega mišljenja, diskusija)


• seminars (reflexion about experiences, project work, team work, methods of critical thinking, discussion)



Assessment:

Način (pisni izpit, ustno izpraševanje, naloge, projekt): • seminarske naloge na vajah • pisni izpit • ustni izpit

20 60 20

Type (examination, oral, coursework, project): • tutorial work • written exam • oral exam

Reference nosilca / Lecturer's references: Izr. prof. dr. Nadja Damij: • ARSHAM, HOSSEIN, CIMPERMAN, GAŠPER, DAMIJ, NADJA, DAMIJ, TALIB in GRAD, JANEZ

(2005) A computer implementation of the push-and-pull algorithm and its computational comparison with LP simplex method, Applied Mathematics and Computation, 170 (1), str. 36-63.

• DAMIJ, NADJA in DAMIJ, TALIB (2005) Business process modelling and improvement using TAD methodology, Lecture notes in computer science, 3649. Berlin: Springer, str. 380-385.

• DAMIJ, NADJA, DAMIJ, TALIB, GRAD, JANEZ in JELENC, FRANC (2008) A methodology for business process improvement and IS development. Information and Software Technology, 50, str. 1127-1141.

• DAMIJ, NADJA (2001) Uporaba metodologije TAD in UML za razvoj aplikacije Tranzit. Uporabna informatika, 9 (2), str. 86-94.

• DAMIJ, NADJA in LI, K (2004) Transition into virtual organisation - does the practice follow the promising theory. Uporabna informatika, 12 (3), str. 162-168.



www.fis.unm.si

• DAMIJ, NADJA (2006) Business process and health care simulation. WSEAS Transactions on Systems, 5 (3), str. 526-531.

• DAMIJ, NADJA (2006) How does the Eficus solution optimize an organization. WSEAS Transactions on Information Science and Applications, 3 (12), str. 2511-2517.

• DAMIJ, NADJA in GRAD, JANEZ (2006) Two perspectives of the activity table technique. WSEAS Transactions on Information Science and Applications, 3 (12), str. 2518-2524.

• DAMIJ, NADJA (2007) Business process modelling using diagrammatic and tabular techniques. Business process management journal, 13 (1), str. 70-90.

Sonosilec Peter Geršič je strokovnjak in raziskovalec s področja spletnega in poslovnega komuniciranja z več kot 10 leti izkušenj dela v mednarodnem okolju. V svojem delu povezuje izkušnje in znanja s področja marketinga, informacijskih tehnologij ter psihologije in sistemskih teorij. V okviru poslovnega dela je pridobil strokovne certifikate za področje spletnega oglaševanja in analitike podjetja Google. Lecturer Peter Geršič is an expert and researcher at the field of web and business communication with more than 10 years of work experience in international setting. In his work he is synthesizing experience and knowledge from fields of marketing, information technology and psychology and systems theories. In course of his professional work he gained expert certificates for fields of web advertising and analytics from Google.

Web Programming 1

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Spletno programiranje 1 Course title: Web Programming 1



Letnik Academic

year

Semester Semester


- Prvi Drugi


- First Second


2-RST-VS-SP1-2015-10-01



www.fis.unm.si

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 45 - - 105 6 Nosilec predmeta / Lecturer: doc. dr. Martin Žnidaršič Jeziki / Languages:




Prerequisits:

Pogoj za vključitev v delo je vpis v 1. letnik študija. Pogoj za pristop k izpitu so opravljene obveznosti na vajah.

The prerequisite is enrolment into the first year of the study. Student has to pass the requirements given at the exercises before examination.

Vsebina:


● Opisni jeziki. ● Jezik in oznake HTML (HyperText

Markup Language). ● XML (Extensible Markup

Language). ● Osnove grafičnih formatov in

njihove uporabe v Spletu. � Rastrski formati. � Vektorski format SVG

(Scalable Vector Graphics).

● HTML 5. ● Osnove semantičnega Spleta. ● Osnove spletnega okolja in

komunikacije v njem. Uvod v HTTP (Hypertext Transfer Protocol) protokol.

● Elementi Spletne strani. Formularji in dogodki.

● Slogovne predloge CSS (Cascading Style Sheets). Uporaba plasti.

● Principi oblikovanja spletnih strani. ● Spletno programiranje na strani klienta.

● Jezik JavaScript. ● Objektni model DOM

(Document Object Model). ● Tehnologija asinhronega

JavaScripta.

• Markup languages. ● HTML (HyperText Markup Language)

language and tags. ● XML (Extensible Markup Language). ● Basics of graphical formats and their

use on the Web. ● Raster formats. ● SVG (Scalable Vector

Graphics) vector format.

● HTML 5. • Basics of the Semantic Web. • Web environment and communication.

Introduction to the http (Hypertext Transfer Protocol) protocol.

• Web page elements. Forms and events. • CSS (Cascading Style Sheets) style

sheets. Use of layers. • Web page design principles. • Client-side Web programming. ● JavaScript language. ● DOM (Document Object Model)

object model. ● Asynchronous JavaScript

technology. ● JSON (JavaScript Object Notation)

data format.



www.fis.unm.si

● Podatkovni format JSON (JavaScript Object Notation).

● Osnove spletnega programiranja na strežniku z jezikom PHP (PHP: Hypertext Preprocessor).

● Izdelava delujoče spletne aplikacije (poudarek na programiranju na strani klienta).

• Basics of server-side Web programming with the PHP (PHP: Hypertext Preprocessor) language.

• Development of a functional Web application (focus on the client-side programming).

Temeljni literatura in viri / Readings: • NIXON, ROBIN (2009) Learning PHP, MySQL & JavaScript. O'Reilly Media. • OLIVER, DICK in MORRISON, MICHAEL (2006) Sams Teach Yourself HTML And CSS in 24

Hours. Sams Pub. • YOUNG, MICHAEL J. (2002) XML: step by step. Microsoft Press. • DISBROW, STEVEN W. (2001) JavaScript Weekend Crash Course. Wiley. • HRIBAR, PETER (1998) Spoznajmo JavaScript: programiranje spletnih strani. Flamingo. Cilji in kompetence:


Učna enota prispeva k razvoju naslednjih splošnih in predmetno-specifičnih kompetenc: Splošne kompetence: ● usposobljenost za izvajanje vseh faz

razvoja spletnih in mobilnih aplikacij: načrtovanje, razvoj, zagon, prodaja, vzdrževanje

● poznavanje osnov računalništva in informacijske tehnologije

● zmožnost skupinskega dela v vseh fazah razvoja spletnih in mobilnih rešitev

● obvladovanje postopkov zagotavljanja varnega in stabilnega delovanja spletnih in mobilnih aplikacij in sprotnega odpravljanja napak

Predmetno-specifične kompetence: ● poznavanje opisnih jezikov ● poznavanje delovanja interneta in

svetovnega spleta ● poznavanje tehnologij za spletno

programiranje na strani klienta in sposobnost razvoja dinamičnih aplikacij

The instructional unit contributes to the development of the following general and subject-specific competences: General competences: ● competence to carry out all phases in

the development of web and mobile applications: planning, development, start-up, sales, maintenance

● familiarity with the basics of computer science and information technology

● ability to operate within a team during all phases of development of web and mobile solutions

● mastering procedures of ensuring safe and stable functioning of web and mobile applications, and elimination of errors

Subject-specific competences: ● knowledge of markup languages ● knowledge of the internet and the web ● knowledge of client-side web

technologies and capability of developing dynamical Web pages



www.fis.unm.si

Predvideni študijski rezultati: Intended learning outcomes: Znanje in razumevanje: Študent/študentka: • razume, kako deluje Internet in svetovni

splet • operativno pozna označevalne in

programske jezike za spletno programiranje na strani klienta

• pozna razmerje oblika-funkcija in zna to upoštevati pri načrtovanju spletnih aplikacij

• je sposoben izdelovati dinamične spletne strani

Knowledge and understanding: The student: • understands the workings of the Internet

and the Web • gains operative knowledge of markup

and client-side programming languages • is aware of the design-function

relationship and able to design Web applications accordingly

• is capable of developing dynamical Web pages





• domače naloge: s katerimi bodo študentje stimulirani, da sproti študirajo snov, ki bo obravnavana na predavanjih in vajah

• seminarska naloga bo študente naučila samostojnega reševanja praktičnih problemov z uporabo standardnih podatkovnih struktur in algoritmov



• homeworks will stimulate the students to study concurrently with lectures and lab work

• student project will prepare the students to autonomously solve practical problems with the use of standard data structures and algorithms



Assessment:

Način (pisni izpit, ustno izpraševanje, naloge, projekt): • Pisni/ustni izpit • Domače naloge • Seminarska naloga

Študent lahko pristopi k pisnemu izpitu po opravljenih domačih nalogah in seminarski nalogi, pri katerih mora doseči vsaj 50% uspešnost.

50 30 20

Type (examination, oral, coursework, project): • Written/oral exam • Homeworks • Seminar paper Student can take part in the written exam, after he/she completes his/her homeworks and the seminar paper with at least 50% success.



www.fis.unm.si

Reference nosilca / Lecturer's references: • Smailović, JASMINA, Žnidaršič, MARTIN in Grčar, MIHA (2011) Web-based experimental

platform for sentiment analysis. V: Mertik, MATEJ (ur.) The proceedings of the 3rd International Conference on Information Society and Information Technologies - ISIT 2011, Novo mesto: Faculty of Information Studies.

• Smailović, JASMINA, Grčar, MIHA, Lavrač, NADA in Žnidaršič, MARTIN (2013) Predictive sentiment analysis of tweets : a stock market application. Lecture notes in computer science, 7947, str. 77-88.

• Žnidaršič, MARTIN, Bohanec, MARKO in Zupan, BLAŽ (2006) proDEX - a DSS tool for environmental decision-making. Environmental Modelling & Software, 21, str. 1514–1516.

• Bohanec, MARKO, Cortet, Jérôme, Griffiths, Bryan, Žnidaršič, MARTIN, Debeljak, MARKO, Caul, SANDRA, Thompson, Jacqueline in Krogh, PAUL H. (2007) A qualitative multi-attribute model for assessing the impact of of cropping systems to soil quality. Pedobiologia, 51 (3), str. 239 - 250. Dopolnilna spletna aplikacija dostopna na: http://ai.ijs.si/MarkoBohanec/ESQI/ESQI.php.

Computer Networks

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Računalniška omrežja Course title: Computer Networks



Letnik Academic

year

Semester Semester


- Prvi Drugi


- First Second


2-RST-VS-RO-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. ECTS



www.fis.unm.si

work 30 - 45 - - 105 6

Nosilec predmeta / Lecturer: Izr. prof. dr. Blaž Rodič Jeziki / Languages:




Prerequisits:

Pogoj za vključitev v delo je vpis v 1. letnik študija. Študent/študentka mora pred pristopom k izpitu pripraviti in predstaviti seminarsko nalogo.

The prerequisite is enrolment into the first year of the study. Prior to the exam, the student has to prepare and present seminar paper.

Vsebina:


• Uvod in osnovni pojmi, OSI (Open Systems Interconnection model) in drugi modeli.

• Fizično povezovanje naprav (vozlišča in povezave; okvirjanje, detekcija napak, zanesljiv prenos, standardi: Ethernet in brezžična omrežja).

• Preklapljanje, usmerjanje (stikala in usmerjevalniki; preklapljanje omrežij in preklapljanje povezav; IP (internet protocol) protokol v4 in v6, naslavljanje, ARP (address resolution protocol), DHCP (Dynamic Host Configuration Protocol), ICMP (Internet Control Message Protocol); usmerjevalni protokoli).

• Povezovanje procesov (UDP (User Datagram Protocol), TCP (Transmission Control Protocol), vzpostavljanje in rušenje povezave, nadzor pretoka in zamašitev).

• Zagotavljanje varnosti (osnove kriptografskih tehnik – simetrične in asimetrične metode, PKI (public-key infrastructure)).

• Avtentikacijski protokoli, SSH (secure shell), TLS (Transport Layer Security), SSL (Secure Sockets Layer), Ipsec; požarne

• Systems Interconnection model) and other models.

• Physical connectivity of devices (nodes and connections, framing, error detection, reliability mechanisms, standards: Ethernet and wireless networks).

• Switching, routing (switches and routers, network and connection switching, IP (internet protocol)protocols v4 and v6, addressing, ARP (address resolution protocol), DHCP (Dynamic Host Configuration Protocol), ICMP (Internet Control Message Protocol, routing protocols).

• Connecting processes ((UDP (User Datagram Protocol), TCP (Transmission Control Protocol), establishing and breaking connections, flow control, congestion recovery).

• Security (cryptography basics, asymmetric and symmetric cyphers, PKI (public-key infrastructure)).

• Authentication protocols, SSH (secure shell), TLS (Transport Layer Security), SSL (Secure Sockets Layer), Ipsec; firewalls; threats and threat detection and prevention).



www.fis.unm.si

pregrade; napadi in zaznavanje in preprečevanje).

• Povezovanje aplikacij (standardni protokoli – HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), POP (post office protocol), IMAP (Internet Message Access Protocol); spletne storitve; večpredstavnost; prekrivna omrežja – p2p).

• Connecting applications (standard protocols, HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), POP (post office protocol), IMAP (Internet Message Access Protocol), web services, multimedia, peer to peer networks, overlay networks).

Temeljni literatura in viri / Readings: • PETERSON, LARRY in DAVIE, BRUCE (2011) Computer Networks: A Systems Approach

(5th ed.), Burlington: Morgan Kaufmann. • KUROSE, JAMES in ROSS, KEITH (2011) Computer Networking (6th ed.), Boston: Addison-

Wesley. Cilji in kompetence:



Splošne kompetence: • poznavanje pomena kakovosti in

prizadevanje za kakovost strokovnega dela skozi avtonomnost, samoiniciativnost, (samo)kritičnost, (samo)refleksivnost in (samo)evalviranje v strokovnem delu

• prepoznavanje in ocenitev aktualnih in nastajajočih tehnologij ter ocenitev njihove uporabnosti za reševanje potreb uporabnikov

• usposobljenost za samoučenje s ciljem obvladovanja najnovejših relevantnih spletnih in mobilnih tehnologij

• poznavanje komunikacijskih priložnosti, ki jih ponujajo splet in mobilne naprave

• sposobnost varnega in namenskega koriščenja najzahtevnejših spletnih storitev

• sposobnost prilagoditve spletnih aplikacij za poljubno mobilno platformo

• zmožnost za prepoznavanje in izkoriščanje priložnosti, ki jih ponuja spletna tehnologija

The instructional unit contributes to the development of the following general and subject-specific competences: General competences: • familiarity with the importance of quality,

striving to maintain the quality of professional work through practicing autonomous behaviour, showing initiative, as well as through (self-) criticism, (self-)reflection and (self-) evaluation

• identification and evaluation of current and emerging technologies, and assessment of their usability in terms of fulfilling user requirements

• ability to self-educate with the aim to master relevant state-of-the-art web and mobile technologies

• familiarity with communication opportunities offered by the web and mobile devices

• ability to safely and purposefully use the most complex web services

• ability to adapt web applications to any mobile platform

• ability to recognize and seize opportunities offered by the web technology



www.fis.unm.si

Predmetnospecifične kompetence: • razumevanje delovanja računalniških

omrežij (arhitektura, protokoli, nivoji) • pridobivanje podrobnejših informacij o

delovanju posameznih komponent in protokolov računalniških omrežij na svetovnem spletu in v strokovni literaturi

• izbira in uporaba ustreznih strojnih komponent za postavitev lokalnih ožičenih in brezžičnih računalniških omrežij

• upravljanje računalniskih omrezij (uporabniki, obremenitev, varnost)

Subject-specific competences: • understanding the functioning of

computer networks (architecture, protocols, levels)

• acquire detailed information on the functioning of individual computer network components and protocols by resorting to the world wide web and specialized literature

• selection and use of adequate machine components necessary for installation of local wired and wireless computer networks

• management of computer networks (user management, load management, security management)



Znanje in razumevanje: Študent/študentka: • se seznani z osnovnimi gradniki in

napravami, ki sestavljajo sodobna komunikacijska omrežja

• spozna princip gradnje odprtih sistemov in večplastnih protokolarnih skladov in se nauči razmišljati o protokolih na temu primeren način

• pozna najpomembnejše standardne protokole vsake protokolarne plasti, njihov namen, uporabo in omejitve

• razume zgradbo in delovanje interneta • pozna in razume varnostna tveganja in

različne načine obrambe pred napadi v sodobnih omrežjih

• je sposoben/a zasnovati in postaviti preprosto računalniško lokalno in brezžično omrežje ter konfigurirati in spremljati osnovne parametre njegovega delovanja

Knowledge and understanding: The student: • becomes familiar with the basic

elements and specific devices used in modern communication networks

• understands the principles of open systems design and multilevel architecture of protocol stacks and develops appropriate mental models

• knows the core standard protocols of every layer, their purpose, usage and limitations

• understands the structure and operation of the internet

• knows and understands the security threats and the corresponding security measures including detection, response and recovery mechanism in modern networks

• is able to design and construct a basic local and wireless network, configure it and monitor its operation



www.fis.unm.si



• vaje v računalniški učilnici: pri teh vajah bodo študentje spoznali konkretne protokole in orodja, katerih so se učili na predavanjih. Te vaje bodo potekale v manjših skupinah, tako da bo imel vsak študent na razpolago en računalnik

• seminarska naloga: v okviru samostojnega dela ali dela v parih bo študent samostojno preučil določeno vsebinsko področje ali rešil konkreten problem ter ga ustrezno predstavil

• lectures with active student participation (presentation, discussion, questions, cases, problem solving)

• lab work: in the lab work the students will become familiar with the protocols and tools they have learnt about in the lectures. Lab work will be done in small groups, with one workstation per student

• seminar paper: through individual work or work in pairs the students will autonomously study a selected field of study or solve a real-life problem and present the work process and the solution



Assessment:

Način (pisni izpit, ustno izpraševanje, naloge, projekt): • pisni/ustni izpit • empirična seminarska naloga

50 50

Type (examination, oral, coursework, project): • written/oral exam • empirical seminar paper






• RODIČ, BLAŽ in KLJAJIĆ, MIROLJUB (2005) Mobile agents and XML for distributed simulation support. V: KLJAJIĆ, MIROLJUB, ŠKRABA, ANDREJ (ur.). Simulation based decision support, (Organizacija, 38 (9)). Kranj: Moderna organizacija, str. 490-498.



www.fis.unm.si

Introduction to Informatics

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Uvod v informatiko Course title: Introduction to Informatics



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


2-RST-VS-UVI-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 45 - - 105 6 Nosilec predmeta / Lecturer: izr. prof. dr. Blaž Rodič Jeziki / Languages:




Prerequisits:

Pogoj za vključitev v delo je vpis v 1. letnik študija. Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati empirično seminarsko nalogo.

The prerequisite is enrolment into the first year of the study. Prior to the exam, the student has to prepare and present seminar work.



www.fis.unm.si

Vsebina: Content (Syllabus outline): • Uvod v predmet. Povezanost

predmeta z drugimi predmeti, vsebina predmeta, študijska literatura.

• Uvod v informatiko. Teoretična in praktična znanstvena disciplina, Zgodovinski razvoj. Koncept informacijske družbe in pomen informatike. Ključni trendi na področju informatike. Pojav Odprte kode

• Pomen in vloga informacijske tehnologije v razvoju informatike. Vpliv informacijske tehnologije na družbo.

• Matematične osnove računalništva, teorija informacije, dvojiški številčni sistem, Boolova algebra.

• Strukturni elementi informacijske tehnologije. Strojna, komunikacijska in programska oprema.

• Sistemska programska oprema. Operacijski sistemi.

• Uporabniška programska oprema. Pisarniška programska oprema. Poslovne aplikacije. Sistemi ERP (enterprise resource planning). E-poslovanje.

• Razvijanje programske opreme. Analiza, specifikacija, programiranje, testiranje, uvajanje in vzdrževanje.

• Osnove algoritmov in programski jeziki. • Pomen in vloga informacijske

tehnologije v ustvarjanju in prenosu znanja. Inteligentni sistemi in umetna inteligenca.

• Računalniške komunikacije; terminologija; topologije omrežij; OSI nivoji; internetni protokoli.

• Informacijska varnost, varnostni mehanizmi in grožnje, infrastruktura javnih ključev, varnostni standardi in zakonodaja.

• Podatkovni tipi, predstavljanje in organiziranje podatkov. Modeliranje in modeli podatkov. Relacijske baze podatkov.

• Introduction to the course. Links with other courses, course content, study literature.

• Introduction to informatics. Theoretical and practical discipline, history. The concept of information society and the importance of information technology. Key trends in the field of informatics. The Open Source phenomenon.

• The importance and role of information technology in the development of informatics. The impact of information technology on society.

• Mathematical fundamentals of computer science, information theory, binary system, Boole algebra.

• Structural elements of information technology. Hardware, communication equipment, software.

• System software. Operating systems. • Application software. Office software.

Business applications. ERP (enterprise resource planning) systems. E-business.

• Software development. Analysis, specification, programming, testing, deployment and maintenance.

• Algorithm fundamentals and programming languages.

• The importance and role of information technology in creating and transferring knowledge. Intelligent systems and artificial intelligence.

• Computer communications; terminology; network topology; OSI Layers; Internet protocols.

• Information security, security mechanisms and threats, public key infrastructure, information security standards and legislation.

• Data types, presentation and organization of data. Modelling and data models. Relational databases.



www.fis.unm.si

Temeljni literatura in viri / Readings: • ŠUHEL, PETER (2009) Osnove informacijske tehnologije. Novo mesto: samozaložba. • GRADIŠAR, MIRO (2003) Uvod v informatiko. Ljubljana: Ekonomska fakulteta. • STAIR, RALPH in REYNOLDS GEORGE (2011) Principles of Information Systems (12th ed.).

Boston: Cengage Learning. Cilji in kompetence:



informacijske tehnologije • poznavanje in razumevanje procesov,

ki jih je mogoče informacijsko podpreti z uporabo spletnih tehnologij, ter sposobnost za njihovo analizo, sintezo in izbiro rešitev ter predvidevanje njihovih posledic

• zmožnost za prepoznavanje in izkoriščanje priložnosti, ki jih ponuja spletna tehnologija

• poznavanje in razumevanje interakcij med informacijsko komunikacijsko tehnologijo in posameznikom


Predmetnospecifične kompetence: • poznavanje temeljnih definicij in idej v

računalništvu in informatiki • sposobnost uporabe informacijsko-

komunikacijske tehnologije in sistemov • poznavanje tipov programske opreme

in obvladovanje pisarniške programske opreme

• poznavanje osnovnih načinov modeliranja podatkov in poizvedovanja v podatkih

• poznavanje najpogostejših groženj varnosti in uporaba praktičnih postopkov za zagotavljanje varnosti informacijskega sistema

• razumevanje zmogljivosti komponent računalniškega sistema in omrežnih

The instructional unit contributes to the development of the following general and subject-specific competences: General competences: • familiarity with the basics of computer

science and information technology • familiarity with and understanding of

processes allowing information-aided use of web technologies, and the ability to analyse and synthesize them as well as select solutions and predict their consequences

• ability to recognize and seize opportunities offered by the web technology

• familiarity and understanding of interactions existing between the information and communication technology and the individual

• ability to use the acquired knowledge in practice in a flexible manner

Subject-specific competences: • ability to utilize information and

communication technology and systems • familiarity with different software types

and proficient use of office software • familiarity with the basic modes of data

modelling and data inquiry • familiarity with the most frequent security

threats and the use of practical procedures ensuring information system security

• understanding capabilities of computer system components and network devices

• communication with information technology experts using appropriate terminology



www.fis.unm.si

naprav • komuniciranje s strokovnjaki v

informacijski dejavnosti z uporabo ustrezne terminologije

• poznavanje etičnih dilem uporabe informacijskih rešitev in temeljne zakonodaje na tem področju

• familiarity with ethical dilemmas relating to the use of information solutions, as well as knowledge with regard to the field-specific legislation



Znanje in razumevanje: Študent/študentka: • spozna temeljne definicije in ideje ter

terminologijo v računalništvu in informatiki, kar mu/ji omogoči komuniciranje z drugimi strokovnjaki na področju računalništva in informatike

• se seznani z zgradbo in strukturnimi elementi informacijskih sistemov

• obvlada osnovna pisarniška orodja, • razume in uporablja praktične

postopke za zagotavljanje varnosti informacijskega sistema

• spozna temeljno zakonodajo, relevantno za področje računalništva in informatike ter etične dileme razvoja in uporabe informacijskih sistemov

Knowledge and understanding: The student: • learns about the basic definitions and

terminology and ideas in computer science and informatics, allowing them to communicate with other professionals in the field of computer science

• is acquainted with the structure and structural elements of information systems

• gains command of basic office tools • understands and can apply practical

methods for ensuring information system security

• gains an understanding of fundamental legislation, relevant to the field of computer science and the ethical dilemmas of development and use of information systems




• laboratorijske vaje (delo na osebnem računalniku, spoznavanje opreme, omrežij, operacijskih sistemov, baz podatkov, iskanje sekundarnih podatkov, internetnih virov ipd.)


• lectures with the active participation of students (presentation, discussion, questions, cases, problem solving)

• lab work (work on a personal computer, familiarization with hardware, networks, operating systems, databases, searching for secondary data, internet resources, etc..)

• individual and group consultation (discussion, additional explanation, specific issues)



www.fis.unm.si


Assessment:

Način (pisni izpit, ustno izpraševanje, naloge, projekt): • pisni/ustni izpit • empirična seminarska naloga s

poročili seminarskega dela in eksperimentalnih vaj ter predstavitev naloge

50 50

Type (examination, oral, coursework, project): • written/oral exam • empirical seminar report on

project work and laboratory work and the presentation

Reference nosilca / Lecturer's references: • RODIČ, Blaž, FORTUNA, Dejan. Awareness of privacy issues in social networks. V:

MILEVA-BOSHKOSKA, Biljana (ur.). Towards solving the social science challenges with computing methods. Frankfurt am Main: PL Academic Research, cop. 2015, pgs. 81-92.

• KANDUČ, Tadej and RODIČ, Blaž. Optimisation of a complex manufacturing process using discrete event simulation and a novel heuristic algorithm, International Journal of Simulation Modelling (print: Vol. 15, No. 3, September 2016).

• KANDUČ Tadej and RODIČ Blaž. Optimisation of a complex manufacturing process using discrete event simulation and a novel heuristic algorithm, International Journal Of Mathematical Models And Methods In Applied Sciences, Volume 9, 2015, pgs. 320-329.

• RODIČ, Blaž. Mobile agents for distributed decision support systems. Int. Sci. J. Manag. Inf. Syst., 2011, vol. 6, no. 1, str. 20-27.

• KLJAJIĆ, Miroljub, BRESKVAR, Uroš, RODIČ, Blaž. Computer aided scheduling with use of genetic algorithms and a visual discrete event simulation model. WSEAS Trans. Syst., 2004, vol. 3, no. 3, pg. 1021-1026.

• RODIČ, Blaž, KLJAJIĆ, Miroljub. Mobile agents and XML for distributed simulation support. V: KLJAJIĆ, Miroljub (ed.), ŠKRABA, Andrej (ed.). Simulation based decision support, (Organizacija, Letn. 38, 2005, No. 9). Kranj: Moderna organizacija, 2005, pg. 490-498.



www.fis.unm.si

Introduction to Programming

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Uvod v programiranje Course title: Introduction to Programming



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


2-RST-VS- UP-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 / 45 / / 105 6 Nosilec predmeta / Lecturer: doc. dr. Bernard Ženko Jeziki / Languages:




Prerequisits:

Pogoj za vključitev v delo je vpis v 1. letnik študija. Pogoj za pristop k izpitu so opravljene vse obveznosti na vajah.

Enrolment into the first year of the study. Student has to pass all requirements given at the exercises before examination.



www.fis.unm.si

Vsebina: Content (Syllabus outline): • Uvod: programiranje kot reševanje

problemov, kratka zgodovina programiranja.

• Algoritem in program: diagrami poteka. • Strukturirano in objektno usmerjeno

programiranje: ključni koncepti objektno usmerjenega programiranja.

• Programski jezik Java: javanski virtualni računalnik.

• Osnovni podatkovni tipi. • Deklaracije konstant in spremenljivk. • Prireditveni stavek, izrazi, operatorji. • Krmilni stavki. • Tabele, nizi. • Metode, razredi in objekti, konstruktorji,

dedovanje. • Podprogrami, dogodki, izjeme. • Napotki za dobro programiranje.

• Introduction: programming as problem solving, brief history of programming.

• Algorithm and program: flowcharts. • Structured and object oriented

programming: key concepts of object oriented programming.

• Java programming language: Java virtual machine.

• Basic data types. • Declaring constants and variables. • Assignments, expressions, operators. • Control flow statements. • Arrays, strings. • Methods, classes and objects,

constructors, inheritance. • Subroutines, events, exceptions. • Good programming practices.

Temeljni literatura in viri / Readings: • MRHAR, PETER (2002) Java 2 - prvi korak. Šempeter pri Gorici: Flamingo. • MESOJEDEC, UROŠ in FABJAN, BORUT (2004) Java2: temelji programiranja. Ljubljana:

Pasadena. • ECK, DAVID J. (2011) Introduction to Programming Using Java, 6th Edition.

http://math.hws.edu/javanotes/. • ECKEL, BRUCE (2002) Thinking in Java, 3rd Edition. http://www.mindview.net/Books/TIJ/. • BARNES, DAVID J. in KOLLING, MICHAEL (2009) Objects First with Java - A Practical

Introduction using BlueJ, 4th Edition, Harlow: Pearson Education International. • WIRTH, NIKLAUS (1985) Računalniško programiranje I. Ljubljana: DMFA. • WIRTH, NIKLAUS (1985) Računalniško programiranje II. Ljubljana: DMFA. Cilji in kompetence:



informacijske tehnologije • usposobljenost za izvajanje vseh faz

razvoja računalniških aplikacij: načrtovanje, razvoj, zagon, prodaja, vzdrževanje

Predmetnospecifične kompetence:

The module contributes to the following general and subject-specific competences: General competences: • familiarity with the basics of computer

science and information technology • competence to carry out all phases in

the development of computer applications: planning, development, start-up, sales, maintenance

Subject-specific competences: • knowledge of basic principles of



www.fis.unm.si

• poznavanje osnovnih pojmov računalniškega programiranja

• poznavanje osnov programskega jezika Java


• sposobnost samostojnega reševanja realnih problemov s pomočjo računalniškega programiranja

computer programming • basic knowledge of Java programming

language • ability to write a problem in the form of

an algorithm and its conversion into a computer program with the use of modern programming tools

• ability to autonomously solve real life problems with computer programming



Znanje in razumevanje: Študent/študentka: • razvije zmožnost logičnega razmišljanja

in sposobnost načrtovanja programov • razume pomen načrtovanja in

testiranja programske opreme • zmore dekompozicijo večjega

problema na več manjših in lažje obvladljivih

• zna programirati v programskem jeziku Java

Knowledge and understanding: The student: • develops the ability of logical thinking

and designing computer programs • understands the importance of software

design and testing • is able to decompose a bigger problem

into a set of smaller ones that are easier to handle

• knows how to program in Java




• laboratorijske vaje, kjer bodo študentje na konkretnih problemih ponovili, utrdili in dodatno osvetlili pojme in metode, spoznane na predavanjih

• seminarska naloga bo študente naučila samostojnega reševanja praktičnih problemov v programiranju



• student project will prepare the students to autonomously solve practical programming problems



Assessment:

Način (pisni izpit, ustno izpraševanje, naloge, projekt): • pisni izpit

100

Type (examination, oral, coursework, project): • written exam



www.fis.unm.si

Reference nosilca / Lecturer's references: • DEBELJAK, MARKO, POLJANEC, ALEŠ, in ŽENKO, BERNARD (2014) Modelling forest

growing stock from inventory data : a data mining approach. Ecological indicators, 41, str. 30-39.

• ŠKRABAN, JURE, DŽEROSKI, SAŠO, ŽENKO, BERNARD, MONGUS, DOMEN, GANGL, SIMON in RUPNIK, MAJA (2013) Gut microbiota patterns associated with colonization of different clostridium difficile ribotypes. PloS ONE, 8(2), str. e58005-1-e58005-13.

• CAROTENUTO, MARIANEVE, DŽEROSKI, SAŠO, ŽENKO, BERNARD, SLAVKOV, IVICA, et al. (2013) Neuroblastoma tumorigenesis is regulated through the Nm23-H1/h-Prune C-terminal interaction. Scientific reports, 3, str. 1351-1-1351-11.

• ŠKRABAN, JURE, DŽEROSKI, SAŠO, ŽENKO, BERNARD, TUŠAR, LIVIJA in RUPNIK, MAJA (2013) Changes of poultry faecal microbiota associated with Clostridium difficile colonisation. Veterinary microbiology, 165 (3/4), str. 416-424.

• AHO, TIMO, ŽENKO, BERNARD, DŽEROSKI, SAŠO in ELOMAA, TAPIO (2012) Multi-target regression with rule ensembles. Journal of machine learning research, 13, str. 2367-2407.

• STOJANOVA, DANIELA, KOBLER, ANDREJ, OGRINC, PETER, ŽENKO, BERNARD in DŽEROSKI, SAŠO (2012) Estimating the risk of fire outbreaks in the natural environment. Data mining and knowledge discovery, 24 (2), str. 411-442.

• DŽEROSKI, SAŠO, PANOV, PANČE in ŽENKO, BERNARD (2009) Ensemble methods in machine learning. V: Meyers, R. A. (ur.) Encyclopedia of complexity and systems science. New York: Springer, 6, str. 5317-5325.

• KOBAL GRUM, DARJA, KOBAL, ALFRED BOGOMIR, ARNERIĆ, NIKO, HORVAT, MILENA, ŽENKO, BERNARD, DŽEROSKI, SAŠO in OSREDKAR, JOŠKO (2006) Personality Traits in Miners with Past Occupational Elemental Mercury Exposure. Environmental health perspectives, 114 (1), str. 290-296.

• DŽEROSKI, SAŠO in ŽENKO, BERNARD (2004) Is combining classifiers with stacking better than selecting the best one? Machine learning, 54, str. 255-273.



www.fis.unm.si

2st cycle study programme – Informatics in Contemporary society (MAG)



www.fis.unm.si

Testing, Evaluation and Auditing of Information Systems

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Preizkušanje, evalvacija in revidiranje informacijskih sistemov Course title: Testing, Evaluation an Auditing of Information Systems



Letnik Academic

year

Semester Semester

Informatika v sodobni družbi, magistrski študijski program druge stopnje

- Drugi Tretji

Informatics in Contemporary Society, second cycle Masters Study Programme

- Second Third


1-ISD-MAG-PERIS-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 10 - 10 130 6 Nosilec predmeta / Lecturer: izr. prof. dr. Nadja Damij Jeziki / Languages:




Prerequisits:

Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati seminarsko nalogo.

Prior to the exam, the student has to prepare and present seminar work.



www.fis.unm.si

Vsebina: Content (Syllabus outline): • preizkušanje informacijskega sistema

(IS): preizkušanje programske opreme, metrike merjenja, upravljanje preizkušanja, vrste preizkušanja, umestitev preizkušanja kot del razvojnega in vzdrževalnega procesa

• proces revidiranja IS: revidiranje kompleksnih poslovnih procesov, programske opreme; koraki, standardi

• preizkušanje in evalvacija sistemov za upravljanje s podatkovnimi bazami

• kompleksnost internega nadzora, zunanja presoja

• zaščita informacijskih sistemov • celoviti informacijski sistemi in

integracija informacij s stališča revidiranja

• načini poročanja in vrste komunikacije z uporabniki

• ocenitev tveganja • načrt revizije v organizaciji, izdelava

revizijskega poročila in poročanje vodstvu

• pravni vidiki, etični kodeksi v reviziji ter zakonske obveznosti v EU in RS

• information System (IS) testing: software testing, metrics measurement, management testing, testing types, installation testing as part of the development and maintenance process

• IS audit process: the audit of complex business processes, software; audit phases / steps, used standards and methodologies

• testing and evaluation systems to manage databases

• complexity of internal control, external audit

• protect information systems • comprehensive information systems and

integration of information from the viewpoint of auditing

• reporting levels and types of communication with users

• risk assessment • audit plan in the organization,

preparation of audit reports and reporting to the management

• legal aspects, ethics, audit and legal obligations of the eu and the Republic of Slovenia

Temeljni literatura in viri / Readings: • Hunton J.E. et al, Core Concepts of Information Technology Auditing, Wiley, 2003. • Jack J. Champlain, Auditing Information Systems, Wiley, 2003. • Sandra Snft, Frederick Gallegos, Aleksandra Davis, Information Technology Control

and Audit, CRC Press, 2013 (4. izdaja). • Jagdish P. Pathak, Information Technology Auditing: An Evolving Agenda, Springer,

2005. • Rex Black: Managing the Testing Process: Practical Tools and Techniques for Managing

Hardware and Software Testing, Wiley, 2002 (2. izdaja). • Chris C. Schotanus, TestFrame – An Approach to Structured Testing,Springer, 2010.



www.fis.unm.si

Cilji in kompetence: Objectives and competences: Učna enota prispeva k razvoju naslednjih splošnih in predmetno specifičnih kompetenc:

• sposobnost uporabe informacijsko-komunikacijske tehnologije in sistemov na področju družboslovja

• usposobljenost za načrtovanje informacijskih sistemov in razvoja aplikacij e-poslovanja v sodobni družbi

• sposobnost analize stanja na področju informatizacije organizacije in izdelave predlogov za izboljšanje stanja

• načrtovanje in obvladovanje sprememb ob oblikovanju celovite ocene stanja na področju informatizacije v organizaciji z upoštevanjem različnih dejavnikov

• sposobnost vodenja in vzdrževanja informacijskega sistema in posameznih aplikacij informacijsko komunikacijske tehnologije

• poznavanje zmožnosti in omejitev informacijsko komunikacijskih tehnologij


• the ability to use information communication technology and systems in the field of social science

• competence to plan information systems and develop applications of e – business in contemporary society

• competence to analyse the state in the field of informatisation of an organisation and generate suggestions for the improvement of said state

• planning and mastery of changes while forming a comprehensive evaluation of the state in an organisation or social environment with consideration of various factors

• the ability to manage and maintain an information system and individual applications of information communication technology

• knowledge of abilities and limitations of information communication technologies


Znanje in razumevanje: Sposobnost študenta/študentke bo:

• načrtovanje, izvedba in uspešen zaključek projektov preizkušanja, evalvacije in revidiranja informacijskih sistemov

• poznavanje tehnik in orodij, potrebnih za izvajanje opravil preizkušanja, evalvacije in revizije

• uspešno sodelovanje z internim in zunanjim revizorjem IS

Knowledge and understanding: The ability of the students will be:

• planning, execution and successful completion of project testing, evaluation and auditing systems

• knowledge of techniques and tools necessary to perform tasks of testing, evaluation and audit

• successful cooperation with internal and external auditors IS



www.fis.unm.si



• laboratorijske vaje • individualne in skupinske konzultacije

(diskusija, dodatna razlaga, obravnava specifičnih vprašanj)

• lectures with active participation of students (explanation, discussion, questions, examples, problem solving

• lab work • individual and group consultations

(discussion, additional explanation deals with specific issues)


Assessment:


• pisni izpit

• laboratorijsko delo in seminarska naloga

60

40


• written exam

• seminar paper








• TASEVSKA, Frosina, DAMIJ, Talib, DAMIJ, Nadja. Project planning practices based on enterprise resource planning systems in small and medium enterprises - a case study from the Republic of Macedonia. International journal of project management, ISSN 0263-7863. [Print ed.], 2014, vol. 32, iss. 3, str. 529-538,



www.fis.unm.si

doi: 10.1016/j.ijproman.2013.08.001. • DAMIJ, Nadja, DAMIJ, Talib, GRAD, Janez, JELENC, Franc. A methodology for business

process improvement and IS development. Information and software technology, ISSN 0950-5849. [Print ed.], 2008, vol. 50, str. 1127-1141, doi: 10.1016/j.infsof.2007.11.004.


Social Aspects of Information Technologies

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Družbeni vidiki uporabe informacijsko komunikacijskih tehnologij Course title: Social Aspects of Information Technologies



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


1-ISD-MAG-DVUIKT-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 10 - - 110 5 Nosilec predmeta / Lecturer: red. prof. dr. Borut Rončević

doc. dr. Dolores Modic Jeziki / Languages:



Vaje / Tutorial: Slovenski, angleški / Slovene, English Pogoji za vključitev v delo oz. za



www.fis.unm.si

opravljanje študijskih obveznosti: Prerequisits: Pogoj za vključitev v delo je vpis v prvi letnik magistrskega študija.

The prerequisite is enrolment into the first year of the study.

Vsebina: Content (Syllabus outline): Predmet se ukvarjala s socialnimi, političnimi, ekonomskimi in kulturnimi implikacijami uporabe različnih komunikacijskih in informacijskih tehnologij. Izpostavljene bodo predvsem naslednje teme:

• informacijske tehnologije kot sistemska značilnost postindustijske družbe; povezanost med tehnologijo ter družbeno strukturo in procesi, ki potekajo v sodobni družbi

• informacijske tehnologije kot pogoj ekonomskega razvoja (nova ekonomija, e-poslovanje, e-trgovina)

• informatizacija procesov političnega odločanja (možnosti elektronske demokracije)

• spremembe v delovanju množičnih medijev kot posledica uvajanja informacijskih tehnologij (internetno novinarstvo, digitalizacija tradicionalnih medijev)

• virtualne skupnosti in nove identitete, nastale s pomočjo novih tehnologij

• etični problemi, povezani z uporabo informacijskih tehnologij (nadzorovanje, vdori v zasebnost, manipuliranje z javnim mnenjem itd.)

The course offers students knowledge on social, political, economic and cultural implications of the use of different communication and information technologies (ICT technologies). The following topics will be in focus:

• information technology as a system feature post-industrial society; relationship between technology and social structure as well as processes taking place in the modern society

• information technology as a condition of economic development (new economy, e-commerce, e-business)

• computerization of the political decision-making processes (the feasibility of e-democracy)

• changes in the functioning of mass media as a result of the introduction of information technologies (internet journalism, digitization of traditional media)

• virtual communities and new identities created by new technologies

• ethical problems associated with the use of information technology (surveillance, invasion of privacy, manipulation of public opinion, etc.)



www.fis.unm.si

Temeljni literatura in viri / Readings: • Allanwood Gavin and Beare Peter (2014): User Experience Design: Creating Designs

Users Really Love. London, New York: Fairchild Books. • Baskerville, R., J. Stage in J. Degross (2006) Organizational and Social Perspectives on

Information Technology, Springer. • Castells, M. (2010) The Rise of Network Society; Oxford; Malden; Chichester.: Wiley-

Blackwell. • Fuchs, C.; Sandoval, M. (2014) Critique, social media and the information society. New

York; London: Routledge • Seely Brown, J. in P. Duguid (2000) The Social Life of Information; Harvard Business

School, 2000). Cilji in kompetence: Objectives and competences: Učna enota prispeva k razvoju naslednjih splošnih in predmetno specifičnih kompetenc: Splošne kompetence:

• poznavanje in razumevanje širokega nabora aplikacij informacijsko komunikacijske tehnologije v sodobni družbi

• poznavanje in razumevanje interakcij med informacijsko komunikacijsko tehnologijo in sodobno družbo

• poznavanje in razumevanje kulturnih in družbenih procesov in sposobnost njihove kompleksne analize


Predmetno specifične kompetence: • sposobnost pridobivanja, selekcije,

ocenjevanja in umeščanja novih informacij in zmožnost interpretacije v kontekstu družboslovja in informatike

• načrtovanje in obvladovanje sprememb ob oblikovanju celovite ocene stanja na področju informatizacije v organizaciji z upoštevanjem različnih dejavnikov

The instructional unit contributes to the development of the following general and subject-specific competences: General competences:

• knowledge and understanding of a wide range of applications of information communication technology in the modern society

• knowledge and understanding of interactions between the information and communication technology and the contemporary society

• familiarity with and understanding of cultural and social processes and competence for their complex analysis

• development of critical and self – critical judgement

Subject-specific competences: • the ability to acquire, select from,

evaluate and place new information and the ability to interpret within the context of social sciences and informatics

• planning and management of changes while forming a comprehensive evaluation of the state in the field of informatisation in an organisation while taking various factors into consideration



www.fis.unm.si

Predvideni študijski rezultati: Intended learning outcomes: Znanje in razumevanje: Sposobnost študenta/študentke bo:

• poznavanje značilnosti informacijskih tehnologij in njihovih posledic za delovanje družbe

• analiziranje kompleksnih razmerij med tehnologijo, družbo, kulturo, ekonomijo in politiko

• poznavanje ključnih področij uporabe informacijskih tehnologij

• zavedanje nekaterih ključnih dilem, povezanih z uporabo informacijskih tehnologij in zmožnost (vsaj na osnovni ravni) kritične refleksije

• zavedanje etičnih problemov uporabe informacijskih tehnologij v določenih situacijah in potreba po minimalizaciji njenih negativnih učinkov

Knowledge and understanding: Students will:

• understand the characteristics of information technologies and their implications for the functioning of society

• be able to analyze complex relationships between technology, society, culture, economics and politics

• gain knowledge on key areas of IT application

• evolve awareness of some of the key dilemmas associated with the use of information technologies and the ability (at least at a basic level) of a critical reflection

• become aware of the ethical problems of application of information technologies in certain situations and of the need for minimization of its negative effects






• individualne in skupinske konzultacije (diskusija, dodatna

• lectures with students' active involvement (explanation, discussion, questions, examples, problem solving).

• seminar practice (reflection on the acquired knowledge, project work, team work, critical thinking methods, teamwork, discussions, feedback messaging, social games).

• experimental exercises that are based on experiential, collaborative and problem-based learning (self-study, discussion, interpretation, observation, teamwork, case studies, methods of critical reading and writing, role playing, cooperative learning, portfolio, evaluation, self-assessment)

• individual and group consultations (discussion, additional explanation, dealing with specific questions)

• individual study (motivation, guidance, self-observation, self-regulation,



www.fis.unm.si

razlaga, obravnava specifičnih vprašanj)

• spodbujanje samostojnega študija (motiviranje, usmerjanje, samoopazovanje, samouravnavanje, refleksija, samoocenjevanje)

reflection, self-assessment)



Assessment:


• pisni/ustni izpit • seminarska naloga ali več

krajših nalog

50 50

Type (examination, oral, coursework, project): • written/oral examination • project work or more short tasks

Reference nosilca / Lecturer's references: red. prof. dr. Borut Rončević:

• MILEVA-BOSHKOSKA, Biljana, DŽAJIĆ URŠIČ, Erika, RONČEVIĆ, Borut. A model for evaluation of appropriateness of industrial symbiosis networking based on DEX. V: BULUCEA, Aida (ed.). Mechanics, energy, environment : proceedings of the 8th International Conference on Energy, Planning, Energy Saving, Environmental Education: Rome, Italy, November 7-9, 2015, pp. 118-123.

• DAMIJ, Nadja, FRIC, Urška, RONČEVIĆ, Borut. The role of social research in optimization of ICT tools for management of industrial symbiotic networks. V: ZHUANG, Xiaodong (ur.), GUARNACCIA, Claudio (ur.). Recent researches in applied informatics: Proceedings of the 6th International Conference on Applied Informatics and Computing Theory (AICT'15), Salerno, Italy, June 27-29, 2015. WSEAS Press, 2015, pp. 132-140.

• CEPOI, Victor, RONČEVIĆ, Borut. Social fields theory explaining innovations and developmental performance: An empirical test. STROUHAL, Jiri (ur.). Economics, law and political science: proceedings of the 4th International Conference on Economics, Political and Law, Rome, Italy, November 7-9, 2015. WSEAS, 2015, pp. 38-47.

• RONČEVIĆ, Borut et MODIC, Dolores. (2012). Social fields of technological innovations. V: Global trends and regional development (ur: Genov, Nikolai). New York: Routledge, pp. 226-247.

• RONČEVIĆ, Borut, MAKAROVIČ, Matej (2010): Towards the strategies of modern societies: Systems and social processes. Innovation, Sep. 2010, vol. 23, no. 3, str. 223-239.

doc. dr. Dolores Modic:

• Modic, Dolores et Damij, Nadja. (2015 - v tisku). “Own-it”: Managing Intellectual Property Processes via the Activity Table in Creative Industries, V: Information



www.fis.unm.si

Systems and Management in eMedia Industry (ur: Lugmayr, Artur), Springer. • Damij Nadja et Dolores Modic (2015). Remodeling the Preparation Phase of

Intellectual Property Processes via an Activity Table. V: Applications of ICT in Social Sciences (ur: Boshkoska, Biljana Mileva). Frankfurt am Main: Peter Lang.

• Rončević, Borut et Modic, Dolores. (2012). Social fields of technological innovations. V: Global trends and regional development (ur: Genov, Nikolai). New York: Routledge, pp. 226-247.

• Modic, Dolores et Grivec, Malči. (2008). Ali gredo odvetniki v korak s časom? Odvetnik, Vol. 11, št. 3-4, str. 24-27.

• Modic, Dolores (2008). E-pravosodje < e-poslovanje. V: Informacijska družba : multidisciplinarni pogledi = Information society : multidisciplinary approaches (ur.: Uroš Pinterič, Urša Šinkovec). Nova Gorica, Ljubljana: Fakulteta za uporabne družbene študije in Littera picta.

Managment Information Systems

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Menedžerski informacijski sistemi Course title: Management Information Systems



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


1-ISD-MAG-MIS-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - - - 30 90 5 Nosilec predmeta / Lecturer: izr. prof. dr. Blaž Rodič Jeziki / Predavanja / Slovenski, angleški / Slovene, English



www.fis.unm.si

Languages: Lectures: Vaje / Tutorial: Slovenski, angleški / Slovene, English


Prerequisits:

Pogoj za vključitev v delo je vpis v prvi letnik magistrskega študija. Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati empirično seminarsko nalogo.

The prerequisite is enrolment into the first year of the study. Prior to the exam, the student has to prepare and present seminar work.

Vsebina:


• Uvod v predmet: kaj je MIS? Zakaj MIS? Razvoj MIS. Prihodnost MIS.

• Informatika, informacije in podatki. • Informacijski sistem. Razvoj

informatike. Evolucija MIS. • Upravljavska piramida. Ravni

informacijskih sistemov. Podpora IS poslovnemu sistemu. Razmerje IS in procesov: temeljni, informacijski, in upravljavski proces.

• Informacijski sistemi na različnih ravneh: Poslovni IS, Integrirani IS, KMS, MIS, SPO, EIS.

• Čemu lahko rečemo MIS? Razlogi za vpeljavo MIS. Poslovna vrednost MIS.

• Zahteve za gradnjo MIS. Tipi informacij v MIS.

• Podpora odločanju z MIS. Zahtevnost odločanja. Odločanje na različnih ravneh. Proces odločanja. Pristopi k odločanju.

• Področja podpore odločanju: OR, SPO, Komponente SPO, Skupinsko odločanje. Podpora sodelovanju.

• Večkriterijsko modeliranje. Kvantitativni in kvalitativni modeli. ABACON, AHP, DEX. Ekspertni sistemi. Vodila za načrtovanje SPO.

• Sestava MIS. Podatkovno skladišče. Večdimenzionalnost podatkov. OLAP orodja. Vrtilne tabele. Rudarjenje v podatkih.

• Uporabniški vmesnik MIS.

• Introduction to the course: What are MIS? Why MIS? Development of MIS. The future of MIS.

• Information technology, information and data.

• Information system. Development of informatics. The evolution of MIS.

• Management Pyramid. Levels of information systems. IS support for the business systems. Relationship between the IS and processes: basic, information, and management process.

• Information systems at different levels: business IS, integrated IS, KMS, MIS, DSS, EIS.

• What can we refer to as MIS? The reasons for the introduction of MIS. Business value of MIS.

• Requirements for construction of the MIS. Types of information in the MIS.

• Decision support with MIS. Complexity of decision-making. Decision-making at various levels. Decision-making process. Approaches to decision making.

• Areas of decision support: OR, DSS, DSS components, Group decision making. Support for cooperation.

• Multicriteria modeling. Quantitative and qualitative models. ABACON, AHP, DEX. Expert systems. Guidelines for DSS design.

• Composition of MIS. Data



www.fis.unm.si

Vizualizacija podatkov. • Sistemi za upravljanje poslovne

uspešnosti. Geografski informacijski sistemi. Metode umetne inteligence v SPO.

warehouse. Multidimensional data. OLAP tools. Pivot table. Data mining.

• The user interface of MIS. Visualization of data.

• Business performance management systems. Geographic Information Systems. Artificial intelligence in the DSS.

Temeljni literatura in viri / Readings: • Borschchev A. (2013), The Big Book of Simulation Modeling. Multimethod Modeling with

AnyLogic 6, AnyLogic North America • Turban, E., Aronson, J.E., Liang T.P., Sharda R.: Decision Support and Business

Intelligence Systems (8th Edition). London: Prentice-Hall, 2007. • Turban, E., Sharda, R., Aronson, J.E., King, D.: Business Intelligence: A Managerial

Approach. Upper Saddle River, NJ: Prentice-Hall, 2008. • Laudon J.P., Laudon K.C.: Management Information Systems & Multimedia Student CD

Package (10th Edition), Prentice Hall, 2007 • Howson C.: Successful Business Intelligence: Secrets to Making BI a Killer App, 2008 • Bohanec, M.: Odločanje in modeli, DMFA Založništvo, Ljubljana 2006 Cilji in kompetence: Objectives and competences: Učna enota prispeva k razvoju naslednjih splošnih in predmetno specifičnih kompetenc:

• uporaba metodoloških orodij, tj. izvajanje, koordiniranje in organiziranje raziskav, uporaba raznih raziskovalnih metod in tehnik

• sposobnost oblikovanja izvirnih idej, konceptov in rešitev določenih problemov

• razvoj kritične in samokritične presoje • sposobnost fleksibilne uporabe znanja

v praksi • sposobnost timskega dela • usposobljenost za samostojno in

avtonomno uporabo, nadzor in vzdrževanje informacijsko komunikacijske tehnologije v organizaciji

• sposobnost razumevanja pomena menedžerskih informacijskih sistemov oz. sistemov za poslovno obveščanje

• znanje uporabe informacijskih


• the use of methodological tools, ie. implementation, coordination and organization of research, the use of different research methods and techniques

• the ability to formulate original ideas, concepts and solutions to specific problems

• the development of critical and self-critical assessment

• the ability of the flexible use of knowledge in practice

• teamwork skills • the ability to use information and

communications technologies and systems in their respective areas of expertise

• ability to understand the importance of management and information systems and systems for business intelligence



www.fis.unm.si

sistemov kot podpore odločanju • obvladovanje metod izdelave več-

kriterijskih odločitvenih modelov

• the ability to use information systems as decision support tools

• proficiency in methods for design of multi-criteria decision models




• poznavanje strateškega pomena menedžerskih informacijskih sistemov oz. sistemov za poslovno obveščanje

• poznavanje uporabnosti informacijskih sistemov za podporo menedžmentu

• uporaba informacijskih sistemov kot podporo odločanju

• obvladovanje metod izdelave večkriterijskih odločitvenih modelov

• poznavanje ekspertnih sistemov • poznavanje etičnih vidikov uporabe

menedžerskih informacijskih sistemov

Knowledge and understanding: Students that complete the course will:

• recognize the strategic importance of management information systems i.e. business intelligence systems,

• recognize the utility of information systems in management support ,

• learn how to use information systems and decision support,

• master multi-criteria decision modelling,

• learn about expert systems, • understand the ethical aspects of the

use of management information systems.



• predavanja z aktivno udeležbo študentov (razlaga snovi, pogovori, vprašanja, primeri, reševanje problemov)

• seminarske vaje v povezavi s prakso (večkriterijsko odločanje, podpora odločanju)

• individualne in skupinske konzultacije (pogovori, dodatna razlaga, obravnava specifičnih vprašanj)

• spodbujanje samostojnega študija in raziskovanja (motiviranje, usmerjanje, samoopazovanje, samouravnavanje, refleksija, samoocenjevanje

• Lectures with the active participation of students (presentation, discussion, questions, problems, problem solving);

• Laboratory exercises (multi-criteria modelling, decision support);

• Individual and group consultation (discussion, additional explanation, specific issues).

• stimulation of independent study and research (motivation, guidance, self-observation, self-regulation, reflection, self-assessment)


Assessment:


• pisni izpit

50


• written exam



www.fis.unm.si

• empirična seminarska naloga

s poročili seminarskega dela ter predstavitev naloge

50

• seminar paper

Reference nosilca / Lecturer's references: Knjige/Books:

• RODIČ, Blaž. Distribuirani sistemi za podporo odločanju in programski agenti. (Distributed decision support systems and software agents), Nova Gorica: Fakulteta za uporabne družbene študije, 2008. 170 pgs. ISBN 978-961-6718-05-9.

Članki/Articles in peer reviewed journals:

• KANDUČ TADEJ and RODIČ BLAŽ. Optimisation of a complex manufacturing process using discrete event simulation and a novel heuristic algorithm, International Journal Of Mathematical Models And Methods In Applied Sciences, 2015.

• KANDUČ TADEJ and RODIČ BLAŽ. Optimization of a furniture factory layout, Croatian Operational Research Review, 2015.

• RODIČ, Blaž, BAGGIA, Alenka. Dynamic airport ground crew scheduling using a heuristic scheduling algorithm. International journal of applied mathematics and informatics, ISSN 2074-1278, 2013, vol. 7.

• RODIČ, Blaž, VUKOVIČ, Goran, ZAVRŠNIK, Bruno, MIGLIČ, Gozdana. Issues in introducing training needs analysis in Slovenia´s public administration. Transylvanian review of administrative sciences, 2012, no. 37 E, pgs. 155-171.

• RODIČ, Blaž. Mobile agents for distributed decision support systems. Int. Sci. J. Manag. Inf. Syst., 2011, vol. 6, no. 1, pgs. 20-27.

• VUKOVIČ, Goran, ZAVRŠNIK, Bruno, RODIČ, Blaž, MIGLIČ, Gozdana. The training of civil servants in the Slovene state administration: issues introducing training evaluation. Int. rev. adm. sci., dec. 2008, vol. 74, no. 4, pgs. 653-676.

• RODIČ, Blaž, KLJAJIĆ, Miroljub. Accessing distributed data sources with mobile agents and XML. V: JAŠKOVÁ, Mária (ur.). ECON '05 : [selected research papers], (Research works proceedings, Vol. 12, 2005). Ostrava: Technical University of Ostrava, Faculty of Economics, 2005, pgs. 280-287.

• KLJAJIĆ, Miroljub, BRESKVAR, Uroš, RODIČ, Blaž. Computer aided scheduling with use of genetic algorithms and a visual discrete event simulation model. WSEAS Trans. Syst., 2004, vol. 3, no. 3, pgs. 1021-1026.



www.fis.unm.si

Decision Support Systems

UČNI NAČRT PREDMETA / COURSE SYLLABUS

Predmet: Odločitveni modeli, sistemi za podporo odločanju Course title: Decision models, Decision Support Systems



Letnik Academic

year

Semester Semester


- Prvi ali drugi

Drugi ali četrti


- First or second

Second or fourth

Vrsta predmeta / Course type Izbirni / Elective Univerzitetna koda predmeta / University course code:

1-ISD-MAG-IP-OMSPO-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 20 - - 100 5 Nosilec predmeta / Lecturer: izr. prof. dr. Blaž Rodič Jeziki / Languages:




Prerequisits:

Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati empirično seminarsko nalogo.

Prior to the exam, the student has to prepare and present seminar work.

Vsebina: • Uvod v predmet; namen študija

predmeta, povezanost predmeta z drugimi predmeti, vsebina študija predmeta, študijska literatura;

• Podatek, informacija, znanje, vrste podatkov, lastnosti informacije;

Content (Syllabus outline): • Introduction to the course; the

purpose of the study course, the relationship of the object with other objects, the contents of the study course, literature;

• Data, information, knowledge, data



www.fis.unm.si

• Pomen informacij za odločanje, nivoji odločanja in informacij, informacijske potrebe in vrste informacij za menedžerje;

• Proces odločanja, odločanje v negotovosti, modeliranje odločanja;

• Odločitveni sistemi in modeli, odločitvena drevesa, večkriterijsko odločanje, diagrami vpliva;

• Sistemi za podporo odločanja, strukturirani in nestrukturirani podatkovni viri za poslovno odločanje, skupinsko odločanje.

types, attributes of information; • Importance of information for

decision-making, levels of decision-making and information, information needs and the types of information for managers;

• Decision making process, decision making under uncertainty, decision modelling;

• Decision systems and models, decision trees, multi-criteria decision-making, diagrams of influence;

• Systems for decision support, structured and unstructured data sources for business decision-making, group decision making.

Temeljni literatura in viri / Readings:

• Bohanec, M.: Odločanje in modeli, DMFA Založništvo, Ljubljana 2006. • Hammond, J.S., Keeney, R.L., Raiffa, H., Pametne odločitve: praktični vodnik za

sprejemanje boljših odločitev, Gospodarski vestnik, Ljubljana, 2004. • Turban, E., Aronson, J.E., Liang T.P., Sharda, R.: Decision Support and Business

Intelligence Systems (8th Edition), Prentice Hall, 2006. • Teale, M., Dispenza, V., Flynn, J., Currie, D., Management decision making, Prentice

Hall, 2003. • Skinner, D.C., Introduction to decision analysis, 2nd ed., Probabilistic Publishing,

Gainesville, 2001. • Triantaphyllou, E., Multi-criteria decision making methods: a comparative study,

Kluwer Academic Publisher, 2003. Cilji in kompetence:



• uporaba metodoloških orodij, tj. izvajanje, koordiniranje in organiziranje raziskav, uporaba raznih raziskovalnih metod in tehnik;




• sposobnost timskega dela


• the use of methodological tools, ie. implementation, coordination and organization of research, the use of different research methods and techniques;


• the development of critical and self-critical assessment

• the ability of the flexible use of knowledge in practice



www.fis.unm.si

• usposobljenost za samostojno in avtonomno uporabo, nadzor in vzdrževanje informacijsko komunikacijske tehnologije v organizaciji

• sposobnost razumevanja pomena menedžerskih informacijskih sistemov oz. sistemov za poslovno obveščanje

• znanje uporabe informacijskih sistemov kot podpore odločanju

• obvladovanje metod izdelave več-kriterijskih odločitvenih modelov

• znanje modeliranja odločitvenih procesov

• sposobnost za izvajanje ali podporo pri sprejemanju odločitev, ki temelji na dejstvih

• sposobnost za izvajanje ali podporo pri sprejemanju odločitev v okviru negotovosti

• teamwork skills • the ability to use information and

communications technologies and systems in their respective areas of expertise

• ability to understand the importance of management and information systems and systems for business intelligence

• the ability to use information systems as decision support tools

• proficiency in methods for design of multi-criteria decision models

• decision process modelling skills • ability to conduct or support fact-

based decision making • ability to make or support decision

making under uncertainty




• poznavanje elementov odločitvenega procesa

• poznavanje metod razvoja odločitvenih modelov

• poznavanje dobrih in slabih strani obstoječih metod in tehnik za podporo odločitvam

• poznavanje mesta in vloge sodobnih pripomočkov za podporo odločitvenim procesom

• poznavanje načinov uporabe informacijskih sistemov kot podporo odločanju

Knowledge and understanding: Students will be able to/have the:

• knowledge of the elements of the decision-making process

• knowledge of methods development of decision models

• knowledge of the strengths and weaknesses of existing methods and techniques to support decisions

• knowledge of place and role of modern tools to support decision-process

• knowledge of the uses of information systems and decision support


• predavanja z aktivno udeležbo študentov (razlaga snovi, pogovori, vprašanja, primeri, reševanje problemov)

• seminarske vaje v povezavi s prakso (večkriterijsko odločanje, podpora


• Lectures with the active participation of students (presentation, discussion, questions, problems, problem solving)

• Laboratory exercises (multi-criteria modelling, decision modelling)



www.fis.unm.si

odločanju) • individualne in skupinske

konzultacije (pogovori, dodatna razlaga, obravnava specifičnih vprašanj)

• spodbujanje samostojnega študija in raziskovanja (motiviranje, usmerjanje, samoopazovanje, samouravnavanje, refleksija, samoocenjevanje)

• Individual and group consultation (discussion, additional explanation, specific issues)

• stimulation of independent study and research (motivation, guidance, self-observation, self-regulation, reflection, self-assessment)



Assessment:


• pisni/ustni izpit

• empirična seminarska naloga s poročili seminarskega dela in eksperimentalnih vaj ter predstavitev naloge

50

50


• written/oral exam

• empiric seminar paper

Reference nosilca / Lecturer's references: Knjige/Books:

• RODIČ, Blaž. Distribuirani sistemi za podporo odločanju in programski agenti. (Distributed decision support systems and software agents), Nova Gorica: Fakulteta za uporabne družbene študije, 2008. 170 pgs. ISBN 978-961-6718-05-9.

Članki/Articles in peer reviewed journals:

• KANDUČ TADEJ and RODIČ BLAŽ. Optimisation of a complex manufacturing process using discrete event simulation and a novel heuristic algorithm, International Journal Of Mathematical Models And Methods In Applied Sciences, 2015.

• KANDUČ TADEJ and RODIČ BLAŽ. Optimization of a furniture factory layout, Croatian Operational Research Review, 2015.

• RODIČ, Blaž, BAGGIA, Alenka. Dynamic airport ground crew scheduling using a heuristic scheduling algorithm. International journal of applied mathematics and informatics, ISSN 2074-1278, 2013, vol. 7.

• RODIČ, Blaž, VUKOVIČ, Goran, ZAVRŠNIK, Bruno, MIGLIČ, Gozdana. Issues in introducing training needs analysis in Slovenia´s public administration. Transylvanian review of administrative sciences, 2012, no. 37 E, pgs. 155-171.

• RODIČ, Blaž. Mobile agents for distributed decision support systems. Int. Sci. J. Manag. Inf. Syst., 2011, vol. 6, no. 1, pgs. 20-27.

• VUKOVIČ, Goran, ZAVRŠNIK, Bruno, RODIČ, Blaž, MIGLIČ, Gozdana. The training of civil servants in the Slovene state administration: issues introducing training



www.fis.unm.si

evaluation. Int. rev. adm. sci., dec. 2008, vol. 74, no. 4, pgs. 653-676. • RODIČ, Blaž, KLJAJIĆ, Miroljub. Accessing distributed data sources with mobile

agents and XML. V: JAŠKOVÁ, Mária (ur.). ECON '05 : [selected research papers], (Research works proceedings, Vol. 12, 2005). Ostrava: Technical University of Ostrava, Faculty of Economics, 2005, pgs. 280-287.

• KLJAJIĆ, Miroljub, BRESKVAR, Uroš, RODIČ, Blaž. Computer aided scheduling with use of genetic algorithms and a visual discrete event simulation model. WSEAS Trans. Syst., 2004, vol. 3, no. 3, pgs. 1021-1026.

Thesis Seminar

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Magistrski raziskovalni seminar Course title: Thesis Seminar



Letnik Academic

year

Semester Semester


- Drugi Tretji


- Second Third


1-ISD-MAG-MRS-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

15 - 30 - - 195 8 Nosilec predmeta / Lecturer: izr. prof. dr. Nadja Damij Jeziki / Languages:



Vaje / Tutorial: Slovenski, angleški / Slovene, English



www.fis.unm.si


Prerequisits:

Pogoj za vključitev v delo je vpis v 2. letnik študija. Študent/študentka mora pred pristopom k izpitu pripraviti in zagovarjati empirično seminarsko nalogo.

The prerequisite is enrolment into the second year of the study. Prior to the exam, the student has to prepare and present seminar work.

Vsebina:


Predmet predstavlja praktično predpripravo na izvedbo raziskovalne naloge za potrebe magistrske naloge. Pri predmetu študent(ka) izvede zapletenejšo raziskavo za rešitev kompleksnejšega družboslovnega teoretičnega ali empiričnega problema, skozi katero težimo k poglobitvi in kritičnemu ovrednotenju do sedaj pridobljenih teoretičnih in metodoloških znanj. Študentje na začetku predavanj v sodelovanju z mentorjem izberejo raziskovalni problem iz področja, ki jih strokovno najbolj zanima in izvedejo celovit manjši raziskovalni projekt oziroma ekspertizo, ki vključuje:

• oblikovanje raziskovalnih vprašanj in hipotez, konceptov in teorij,

• izbor raziskovalnih strategij, • organizacija in izvedba,

raziskovalnega projekta, • interpretacija kompleksnih

rezultatov in prenos v prakso.

Re represents the practical preparations are to carry out research work for the needs of a thesis. In this course, the student (ka) zapletenejšo survey conducted for the solution of complex sociological theoretical or empirical problem, through which we strive to deepen and critical evaluation so far acquired theoretical and methodological skills. Students at the beginning of lectures in collaboration with mentors chosen research problem from the areas which are most interested in a professional and implement a comprehensive small-scale research project or expertise, which includes:

• developing research questions and hypotheses, concepts and theories,

• selection of research strategies, • organization and implementation of

research project, • interpretation of complex results and

transfer into practice.

Temeljni literatura in viri / Readings: • Martin Hewings, Academic Writing in Context: Implications and Applications,

Continuum, London 2006. • Susan Carter, Frances Kelly, Ian Brailsford, Structuring Your Research Thesis, Palgrave

MacMillan, 2012.



www.fis.unm.si

Cilji in kompetence: Objectives and competences: Učna enota prispeva k razvoju naslednjih splošnih in predmetno specifičnih kompetenc:


• uporaba metodoloških orodij – izvajanje, koordiniranje in organiziranje raziskav, uporaba raznih raziskovalnih metod in tehnik


• strateška usmerjenost - sposobnost anticipacije dogodkov, izhajajočih iz kulturne dinamike, sposobnost ponujanja rešitev za preprečevanje njihovih negativnih konsekvenc

• razumevanje kulturnih fenomenov in njihove povezanosti s strukturo in razvojem družb

• uporaba in kombiniranje znanj z različnih disciplinarnih področij

• razumevanje različnih teoretskih pristopov in njihova uporaba pri reševanju konkretnih problemov

• fleksibilnost in prilagodljivost – sposobnost delovanja v večkulturnem okolju

• razumevanje različnih družbenih in kulturnih okolij, razumevanje kulturne pluralnosti

• sposobnost anticipacije in reševanje problemov, ki izhajajo iz medkulturnih razlik

• sposobnost kulturne empatije – razumevanje idej, vrednot in mišljenjskih vzorcev iz različnih kulturnih okolij



• use of methodological tools - implementation, coordination and organization of research, the use of different research methods and techniques


• strategic orientation - the ability to anticipate future events resulting from cultural dynamics, the ability to offer solutions to prevent their negative consequences

• understanding of cultural phenomena and their relationship to the structure and development of society

• use and combining knowledge from different disciplines

• understanding different theoretical approaches and their use in solving concrete problems

• flexibility and adaptability - the ability to work in a multicultural environment

• understanding of different social and cultural backgrounds, understanding of cultural pluralism

• ability to anticipate and solve problems arising from cultural differences

• ability to cultural understanding - understanding of ideas, values, and cognitive patterns from different cultural backgrounds



www.fis.unm.si



• zna oblikovati relevantno raziskovalno vprašanje na temelju predstavljenega kompleksnega problema

• v bibliografskih bazah in bazah podatkov zna poiskati ključne koncepte in teorije, s katerimi pripravi konceptualni okvir raziskave oziroma ekspertize

• izvede celoten raziskovalni postopek – od operacionalizacije in izbora raziskovalne metode do zbiranja, analize in interpretacije podatkov

• iz analize zna izluščiti rešitev teoretičnega problema ali oblikovati predloge za reševanje kompleksnejših empiričnih problemov

Knowledge and understanding: The student will be able to:

• formulate relevant research questions based on the present complex problem

• search bibliographic databases to find the key concepts and theories to prepare the conceptual framework of research and expertise

• carry out the entire research process - from operationalization and selection of research methods to the collection, analysis and interpretation of data

• know how to extract from the analysis of the theoretical problem to formulate proposals for solving complex empirical issues



• na začetku kratka predavanja z aktivno udeležbo študentov (diskusija, vprašanja, primeri, reševanje problemov)


• seminarske vaje (refleksija izkušenj, projektno delo, timsko delo, metode kritičnega mišljenja, diskusija, sporočanje povratne informacije, socialne igre); z letnim programom je določena ena ali več raziskovalnih tem glede na usmeritev težišča in tekoče raziskovalne programe

• starting with the lectures with active participation of students (discussion, questions, examples, problem solving)

• individual and group consultations (discussion, additional explanation deals with specific issues)

• tutorials (reflection on experiences, project work, team work, critical thinking, discussion, feedback, social games); the annual program has defined one or more research themes in relation to the direction of gravity and ongoing research programs



www.fis.unm.si



Assessment:


• empirična seminarska naloga s poročili seminarskega dela in eksperimentalnih vaj ter predstavitev naloge

100


• applied seminar work with reports and final presentation









• DAMIJ, Nadja, DAMIJ, Talib, GRAD, Janez, JELENC, Franc. A methodology for business process improvement and IS development. Information and software technology, ISSN 0950-5849. [Print ed.], 2008, vol. 50, str. 1127-1141, doi: 10.1016/j.infsof.2007.11.004.




www.fis.unm.si

Contemporary Social Theories

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Sodobne družbene teorije Course title: Contemporary Social Theories



Letnik Academic

year

Semester Semester


- Prvi Prvi


- First First


1-ISD-MAG-SDT-2015-10-01

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo

Individ. work

ECTS

30 - 15 - - 135 6 Nosilec predmeta / Lecturer: red. prof. dr. Matej Makarovič Jeziki / Languages:




Prerequisits:

Pogoj za vključitev v delo je vpis v 1. letnik študija.

The prerequisite is enrolment into the first year of the study.

Vsebina: • opredelitev in relevantnost

družbenih teorij • opredelitev ključnih tem in dilem

družbenih teorij: izvori sodobnih družbenih teorij

• teorije družbenega delovanja in

Content (Syllabus outline): • definition and relevance of social

theories • definition of key areas and dilemmas

of social theories, sources of modern social theories

• theories on social action and social



www.fis.unm.si

družbene strukture: funkcionalizem, simbolni interakcionizem, dileme in iskanje sintez

• teorije družbenega reda: dileme glede temeljev družbenega reda; razvoj sodobne sistemske teorije

• teorije družbenih delitev in neenakosti v sodobnih družbah

• teorije družbenega razvoja: družbene spremembe, vidiki modernizacije, sistemski in socialni vidiki razvoja (diferenciacija, inkluzija, socialni kapital), pozna modernost

• sklep: paradigmatska in interdisciplinarna razdeljenost družboslovja, možnosti za premoščanje delitev (odprtost družbenih ved, interdisciplinarnost, transdisciplinarnost) in omejitve teh možnosti

structure: functionalism, symbolic interactionism, dilemmas and search for synthesis

• social order theories: dilemmas on social order foundations; development of modern systems theory

• theories on social division and inequality in modern societies

• social development theories: social change, modernization aspects, systems and social aspects of development (differentiation, inclusion, social capital), late modernity

• conclusion: paradigmatic and inter-disciplinary divisions of social sciences, possibilities for overcoming divisions (openness of social sciences, inter-disciplinarity, trans-disciplinarity), limitations to these possibilities

Temeljni literatura in viri / Readings:

• Adam, Frane in Tomšič, Matevž, ur. (2004): Kompendij socioloških teorij. Ljubljana: Študentska organizacija Univerze.

• Beck, Ulrich (2001) Družba tveganja: Na poti v neko drugo moderno. Ljubljana: Krtina.

• Haraway, Donna (1999): “Kiborški manifest”. V: Opice, kiborgi in ženske: Reinvencija narave. Ljubljana: Študentska organizacije Univerze, str. 241-293.

• Makarovič, Matej (2001): Usmerjanje modernih družb. Ljubljana: ZPS. • Ritzer, Georg (2008): Sociological Theory. Boston etc.: McGraw Hill.





• sposobnost oblikovanja izvirnih idej,



• competence to form original ideas,



www.fis.unm.si

konceptov in rešitev določenih problemov

• strateška usmerjenost - sposobnost anticipacije dogodkov, izhajajočih iz kulturne dinamike, sposobnost ponujanja rešitev za preprečevanje njihovih negativnih konsekvenc

• etična refleksija in zavezanost profesionalni etiki v družbenem okolju s spoštovanjem načela nediskriminatornosti in multikulturnosti

• sposobnost timskega dela – pripravljenost na sodelovanje, kooperativnost, upoštevanje mnenj drugih in izpolnjevanje dogovorjene vloge v okviru tima in skupine

• uporaba in kombiniranje znanj z različnih disciplinarnih področij

• razumevanje različnih teoretskih pristopov in njihova uporaba pri reševanju konkretnih problemov

concepts and solutions for specific problems

• strategic – ability to participate in events resulting from cultural dynamics, ability to find solutions for prevention of their negative consequences

• moral consideration of and commitment to professional ethics in social environment based on the principle of non-discrimination and multi-culturality

• teamwork – cooperation, collaboration, consideration of other people's opinion, fulfilling the delegated role in a team or group

• use and combine the knowledge of different disciplines

• understand different theoretic approaches and use them to solve real problems




• razumevanje pojma družbene teorije s poudarkom na socioloških teorijah in njihove relevantnosti

• poznavanje in razumevanje temeljnih odgovorov in dilem različnih ključnih družbenih teorij (še posebej simbolnega interakcionizma in funkcionalizma) v zvezi z odnosom med družbenim delovanjem in družbeno strukturo

• razumevanje pojma družbenega reda ter poznavanje in razumevanje razvoja različnih pogledov na družbeni red s poudarkom na razvoju sistemske teorije

• poznavanje in razumevanje razlik v pogledih na različne vidike družbenih neenakosti v sodobnih družbah

Knowledge and understanding: The ability of the student:

• understand the notion of social theory with the emphasis on sociological theories and their relativity

• identify and understand basic responses and dilemmas of different, key social theories (especially those of interactionism and functionalism) as it applies to the relationship between social activity and social structure

• understand the notion of social order; identify and understand the development of different views of social order with the emphasis on systems theory development

• identify and understand the differences in the views on social inequality in modern societies



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• poznavanje in razumevanje ključnih pogledov na družbeni razvoj, poznavanje klasičnih in predvsem novejših teorij družbene modernizacije in razvoja

• razvita kritična distanca do različnih teoretskih pogledov

• razumevanje paradigmatske razdeljenosti, prepletenosti in povezanosti v sodobnem družboslovju

• analiziranje in razumevanje konkretnih družbenih pojavov z vidika različnih teoretskih pristopov

• samostojno branje, razumevanje in kritična refleksija znanstvenih besedil na področju družboslovja

• identify and understand key views of social development; identify classic and modern theories of social modernization and development

• develop a critical overview of different theoretic views

• understand paradigmatic division, interconnection and connections in modern social sciences

• analyze and understand existing social phenomena using different theoretic approaches

• read, understand and critically reflect on scientific papers in the field of social sciences







• lectures based on active participation of students (explanation, discussion, Q&A, examples, problem solving)

• seminars (discussing experience, projects, teamwork, critical thinking methods, discussion, providing feedback, social activities)

• experimental practice based on experiential, cooperative and problem-solving learning (individual learning, discussion, explanation, observation, teamwork, case studies, critical reading and writing methods, role-play, cooperative learning, portfolio, evaluation, self-evaluation)

• individual and group consultation (discussion, additional explanation, addressing specific questions)



www.fis.unm.si


Assessment:


• devet krajših pisnih domačih nalog s kritičnimi refleksijami izbranih tekstov med semestrom ali zaključni izpit testnega tipa

• zaključni odprti esejski izpit

40

60


• nine short written homeworks with critical reflections on the selected texts during the semester or a final examination with multiple choice questions

• final open book essay


• MAKAROVIČ, Matej, GOLOB, Tea. Increasing fluidity of identifications in the context of individualisation : identification with the European Union. International social science journal, ISSN 1468-2451, 2015, str. 1-13.

• GOLOB, Tea, KRISTOVIČ, Sebastjan, MAKAROVIČ, Matej. European transnational social fields and identifications : the significance of transnational participation and structured positions in the individual and national context. European Journal of Science and Theology, ISSN 1841-0464, oct. 2014, vol. 10, no. 5, str. 1-20.

• MAKAROVIČ, Matej, ŠUŠTERŠIČ, Janez, RONČEVIĆ, Borut. Is Europe 2020 Set to Fail? : the cultural political economy of the EU grand strategies. European planning studies, ISSN 0965-4313, 2014, vol. 22, iss. 3, str. 610-626.

• MAKAROVIČ, Matej, REK, Mateja. Power and Influence-Based Political Participation in European Democracies. Sociológia, ISSN 0049-1225, 2014, vol. 46, no. 6, str. 686-705.

• RONČEVIĆ, Borut, MAKAROVIČ, Matej. Towards the strategies of modern societies : systems and social processes. Innovation, ISSN 1351-1610, Sep. 2010, vol. 23, no. 3, str. 223-239.

• MAKAROVIČ, Matej, RONČEVIĆ, Borut. Interethnic relations in a systemic context : minorities in media and education in Slovenia, (Gesellschaftliche transformationen, Bd. 17, Vol. 17). Münster: Lit, 2010.

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