zał. nr 4 do zw 64/2012 department of humanities...

Zał. nr 4 do ZW 64/2012

DEPARTMENT OF HUMANITIES SUBJECT CARD

Name in Polish: Komunikacja społeczna: Cywilizacje – Organizacje – Media Name in English: Social Communication: Civilizations – Organizations – Media Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code FLEA002 Group of courses NO Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

15

Number of hours of total student workload (CNPS)

30

Form of crediting crediting with grade

For group of courses mark (X) final course x Number of ECTS points 1

including number of ECTS points for practical (P) classes

_

including number of ECTS points for direct teacher-student contact (BK) classes

0,5

*delete as applicable

PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. Finished the 1st level of engineering study \

SUBJECT OBJECTIVES C1The student would be introduce in the interdisciplinary theory of culture, conception of management and theories of organizations, and the theories of media completed by issues on the point of junction between humanities, social science and engineering sciences, especially focusing on the specificity of informatics studies C2 In the lecture students knows the main theories, definitions of culture and the research methods concerning the phenomenon of culture, especially the comparative science of civilizations regarding to the process of globalization with underlined implementation fields in the professional life C3 The student knows the main theories of management and organization concerning the cultural interdependence between the organizational systems basing on the comparison C4 With the present theories of media the student knows the main implementation fields of the knowledge in the humanities, social and engineering sciences

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_HUM T2A_W08 The student has a basic knowledge about social, economic, political and cultural conditions regarding to the professional life and practice as an engineer

PROGRAMME CONTENT

Form of lecture Number

of hours

Lec1 The world of man as the space of communication. Interdisciplinary orientation concerning civilizations, organizations and media on the point of junction between humanities, social and engineering sciences

3

Lec2 Civilizations as spaces of human development: definition, fields and theories of civilizations

2

Lec3 Synergy or Clash? The consequences of the plurality of civilizations. The comparative science of civilizations

2

Lec4 The process of societal organization and the plurality of civilizations: individualism vs. collectivism, organic and technocratic model of society regarding to the comparative studies on organizational cultures

2

Lec5 The main theories and the practice of management and organizations 2

Lec6 The media as the main space and element of social communication. Typology of the media regarding to the cultural and technological dependence (globalism and regionalism of media)

2

Lec7 Pedagogy of media: the medial and societal competences. The Ethics of media and the responsibility of media

2

Total hours 15

TEACHING TOOLS USED N1. Informational Lecture N2.Lecture with multimedia presentation

EVALUATION OF SUBJECT EDUCATIONAL EFFECTS ACHIEVEME NT

Evaluation (F – forming (during semester), P – concluding (at semester end)

Educational effect number Way of evaluating educational effect achievement

P PEK_HUM T2A_W08 Oral or written exam

PRIMARY AND SECONDARY LITERATURE

PRIMARY LITERATURE: [1] McQuail, Denis, Teoria komunikowania masowego, PWN, Warszawa 2007 [2] Konersmann, Ralf, Filozofia kultury, Oficyna Naukowa, Warszawa 2009 [3] Huntington, Samuel P., Zderzenie cywilizacji, Muza SA, Warszawa 2003 [4] Kaliszewski, Andrzej, Główne nurty w kulturze XX i XXI wieku, Poltext, Warszawa 2012 [5] Hofstede, Geert / Hofstede, Geert Jan, Kultury i organizacje, Polskie Wydawnictwo

Ekonomiczne, Warszawa 2007 [6] Griffin, Ricky W., Podstawy zarządzania organizacjami, PWN, Warszawa 2004 [7] Levinson, Paul, Nowe nowe media, WAM, Kraków 2010 [8] Briggs, Asa / Burke, Peter, Społeczna historia mediów. Od Gutenberga do Internetu,

PWN, Warszawa 2010 SECONDARY LITERATURE: [1] Koźmiński, A.K., Piotrowski, W., Zarządzanie. Teoria i praktyka, PWN, Warszawa 2000 [2] Lepa, Adam, Pedagogika mass-mediów, Archidiecezjalne Wydawnictwo Łódzkie, Łódź

2000 [3] Dusek, Val, Wprowadzenie do filozofii techniki, Wydawnictwo WAM, Kraków 2011 [4] Stępień, Tomasz, Kultura, cywilizacja i historia. Geneza pojęć i teorii na kanwie sporu

realizm vs. antyrealizm, [w:] Sikora, Marek (red.), Realizm wobec wyzwań antyrealizmu. Multidyscyplinarny przegląd stanowisk, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2011

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Dr Tomasz Stępień; [email protected]

MATRIX OF CORRELATION BETWEEN EDUCATIONAL EFFECTS FOR

SUBJECT Social Communication: Civilizations – Organizations – Media

AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY Computer Science

AND SPECIALIZATION Advanced Informatics and Control

Subject educational effect Correlation between subject

educational effect and educational effects defined for main field of

study and specialization (if applicable)**

Subject objectives***

Programme content***

Teaching tool number***

(knowledge) PEK_HUM T2A-W08 K2INF_W03

K2AIR_W03 K2EKA_W03 K2TEL_W03 K2TIN_W02

C1 C2 C3 C4

Lec 1-7 Lec 2-3 Lec 4-5 Lec 6-7

N1, N2 N2 N2 N2

** - enter symbols for main-field-of-study/specialization educational effects *** - from table above

Zał. nr 4 do ZW 64/2012

FACULTY Electronics SUBJECT CARD

Name in Polish Fizyka Name in English Physics Main field of study (if applicable): Informatics Level and form of studies: 2nd* level, full-time Kind of subject: obligatory Subject code FZEA001 Group of courses NO Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

15


30

Form of crediting Examination / crediting with grade*

Examination / crediting with grade*




For group of courses mark (X) final course

Number of ECTS points 1 including number of

ECTS points for practical (P) classes

including number of ECTS points for direct teacher-student contact

(BK) classes

0.5


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. Basic Physics, Mathematics 2. Comprising abstract and nonclassical ideas with already acquainted knowledge 3. To be ready to study in difficult conditions without a chance for practical verification of new topis

SUBJECT OBJECTIVES C1 Basic knowledge about expanding Universe

C2 Provide specific concepts concerning, the origin (quantum foam), consistence (dark matter and dark energy) and a fate of expanding universe (closed, open or flat)

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01knows and understands limitations of classical way of reasoning PEK_W02 knows basic features associated with a modern picture of a universe: night sky

paradox, relic radiation, Planck's era, dark matter and energy relating to skills: PEK_U01is able to identify and to find proper materials and tools and to prepare a

presentation about concepts of expanding universe PEK_U02 is able to find arguments concerning facts far from naive expectations (classical

meaning) iniverse in makroscale relating to social competences: PEK_K01is prepared for initiating and monitoring discussions about fundamentals of

phenomena undergoing in a large scale universe

PROGRAMME CONTENT

Form of classes - lecture Number of hours

Lec 1 How big? 2

Lec 2 Introduction to STR 2

Lec 3 Spacetime. Mass-energy equivalence 2

Lec 4 Application: energy production in the stars interior 1

Lec 5 Principle of equivalence 2

Lec 6 Strong gravitational fields. Black holes 2

Lec 7 Expanding Universe 2

Lec 8 Dark matter and dark energy 2

Total hours 15

TEACHING TOOLS USED N1. Presentations and handouts

N2. Textbook

N3. Homeworks




F1 PEK_W01,PEK_W02, , PEK_U01, PEK_U02, PEK_K01,

Discussions; essays

F2 PEK_W01,PEK_W02, , PEK_U01, PEK_U02, PEK_K01,

test

C = F2 (+F1)


PRIMARY LITERATURE: [1] Introduction to Relativity and Cosmology, (Ł. Radosinski, A. Radosz), [2] T. Rauscher and A. Patkos, Origin of the Chemical Elements, arXiv. 10115627, p 1 - 63

SECONDARY LITERATURE: [1] M. Roos Introduction to Cosmology, Wiley & Sons 1991

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Andrzej Radosz; [email protected]

MATRIX OF CORRELATION BETWEEN EDUCATIONAL EFFECTS FOR SUBJECT

Physics AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY

Informatics

Subject educational

effect

Correlation between subject educational effect and

educational effects defined for main field of study and

specialization (if applicable)**




PEK_W01 K2AIR_W02, K2EKA_W02, K2INF_W02, K2TEL_W02,

K2TIN_W01 C1,C2 Wy1 N1-N3

PEK_W02 K2AIR_W02, K2EKA_W02, K2INF_W02, K2TEL_W02,


PEK_U01 K2AIR_W02, K2EKA_W02, K2INF_W02, K2TEL_W02,


PEK_U02 K2AIR_W02, K2EKA_W02, K2INF_W02, K2TEL_W02,


PEK_K01 K2AIR_W02, K2EKA_W02, K2INF_W02, K2TEL_W02,



Zał. nr 4 do ZW 64/2012

FACULTY OF ELECTRONICS SUBJECT CARD

Name in Polish: Zastosowania informatyki: Media elektroniczne w gospodarce

Name in English: IT Applications: Electronic Media in Business and Commerce Main field of study: Computer Science Specialization: Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code: INEA106 Group of courses: YES

Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

30 30


60 90

Form of crediting examination crediting with grade


X

Number of ECTS points 5 including number of ECTS points

for practical (P) classes - 3


(BK) classes

1 1

SUBJECT OBJECTIVES C1 Acquisition of knowledge on the application of modern information technologies in commerce and

government structures, particularly the varied aspects of economic, regulatory and social requirements.

C2 Acquisition of skills in preparing of a proposal and of a computer-based solution for a particular commercial or social application.

C3 Acquiring and perfecting the skills in understanding the mechanisms occurring in the modern society, in the context of the profits and dangers of computerization.

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 knows the problems of e-business PEK_W02 knows the web-based technologies used in electronic commerce PEK_W03 knows the principles of operation of large information processing systems operating in

the public sector and in supporting the commerce PEK_W04 knows the basic regulations of information security and the cryptographic tools required

to ensure security

relating to skills: PEK_U01 is able to make the specification of a complex information system PEK_U02 can design the software for a commercial project, encompassing the security requirements PEK_U03 can implement an application for a commercial undertaking that makes use of the up-to-

date web technologies and assess its security

relating to social competences: PEK_K01 is aware of the importance of the influence of modern technologies on the economic and

social processes, and can critically analyze the related phenomena PEK_K02 can cooperate in a programming team, developing a complex information system,

fulfilling various functions PEK_K03 can develop the schedule of programming tasks, assess their priorities and workloads,

manage the risks of the project PEK_K04 understands the security risks connected with the application of IT

PROGRAMME CONTENT


Lec 1 Introduction, description of the topics covered by the lecture 22

Lec 2 E-business and e-business applications 22

Lec 3 SOA architecture and web services 2

Lec 4 Implementation of web services 2

Lec 5 Business processes modeling in web services 2

Lec 6 Rules and mechanisms ensuring information security 2

Lec 7 Secure communication – the SSL protocol 2

Lec 8 Security of banking transactions 2

Lec 9 Security risks in corporate wireless networks 2

Lec 10 Social security/insurance system, its importance and operational regulations 2

Lec 11 Computer-related issues of managing the social insurance system 2

Lec 12 KSI ZUS – an example of a complex information system 2

Lec 13 Modern stock and assets commerce and its computer assisted management 2

Lec 14 Web based management of the Polish Stock Exchange 2

Lec 15 Repetition and final test 2

Total hours 30

Form of classes - project Number of hours

Proj 1 Project topics and requirements 2 Proj 2 Management of a software project, schedule for completing the tasks and methods

of risk management 2

Proj 3 Complex information system specification 2 Proj 4 Designing of a web based application for a specific commercial project 6 Proj 5 Implementation and test validation of the software 16 Proj 6 Presentation of the completed application 2 Total hours 30

TEACHING TOOLS USED

N1. Traditional lecture using video projector N2. Consultations N3. Individual work – literature based research N4. Team work – software development N5. Preparing the written documentation of the project N6. Preparing the multimedia presentation of the developed software solution


Evaluation F – forming (during semester), P – concluding (at semester end)

Educational effect number

Way of evaluating educational effect achievement

F1 PEK_W01÷PEK_W04 PEK_K01, PEK_K04

Written test of choice

F2 PEK_U01÷PEK_U03 PEK_K02, PEK_K03

Analysis of the design solution, written documentation, presentations of the concept and final results

P = 0,4*F1 + 0,6*F2


PRIMARY LITERATURE: [1] Przemysław Kazienko, Krzysztof Gwiazda „XML na poważnie”, Helion [2] Thomas Erl „SOA Design Patterns” [3] Januszewski A.: Funkcjonalność informatycznych systemów zarządzania, PWN, Warszawa,

2008

SECONDARY LITERATURE: [1] Matjaz B. Juric , Kapil Pant “Business Process Driven SOA using BPMN and BPEL” [2] Markus Aleksy “Implementing Distributed Systems with Java & CORBA” [3] Dave Chaffey “E-Business and E-Commerce Management: Strategy, Implementation and

Practice “ [4] Kluszczyńska Z. i inni,: System Ubezpieczeń Społecznych. Zagadnienia Podstawowe,

LexisNexis Polska 2009. [5] Socha J.: Rynek Papierów Wartościowych w Polsce, Olympus 2003, [6] Kłos B.:Europejskie systemy emerytalne – stan i perspektywy, Biuro Analiz Sejmowych,

Warszawa 2011.

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Dariusz Caban, [email protected]

MATRIX OF CORRELATION BETWEEN EDUCATIONAL EFFECTS FOR SUBJECT IT Applications: Electronic Media in Business and Commerce



Subject educational effect

Correlation between subject educational effect and


specialization (if applicable)

Subject objectives

Programme content Teaching tool number

PEK_W01 K2INF_W06 C1, C3 Lecy2 N1, N2, N3 PEK_W02 K2INF_W06 C1, C3 Lec3,Lec4,Lec5, Proj1 N1, N2, N3 PEK_W03 K2INF_W06 C1, C3 Lec10÷Lec14 N1, N2, N3 PEK_W04 K2INF_W05 C3 Lec6 N1, N2, N3 PEK_U01 K2INF_U01, S2INE_U01 C2 Proj2,Proj3 N2,N3,N4,N5,N6 PEK_U02 K2INF_U01, S2INE_U01 C2 Proj4 N2,N3,N4,N5 PEK_U03 K2INF_U01, S2INE_U01 C2 Proj5 N2,N3,N4,N5,N6 PEK_K01 K2INF_K03 C3 Lec1÷Lec14 N1, N2, N3, N6 PEK_K02 S2INE_K01 C2 Proj1÷Proj6 N2, N3, N4 PEK_K03 S2INE_K01 C2 Proj1, Proj6 N2, N3, N5 PEK_K04 K2INF_K03 C1, C3 Lec7÷Lec9 N1, N2, N3

Zał. nr 4 do ZW 64/2012


Name in Polish: Metody optymalizacji: teoria i zastosowania Name in English: Optimization Methods: Theory and Application Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code: INEA202 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

30 15 15


45 15 60


crediting with grade


For group of courses mark (X) final course X Number of ECTS points 4 including number of ECTS points for practical

(P) classes - 2 2


1 0,5 1


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. To know the methods for description of dynamic control systems. 2. To be able to use appropriate programming environments. 3. To be able to read/work with literature/ information sources written in foreign language independently. \

SUBJECT OBJECTIVES C1. To gain an extended knowledge regarding optimization theory and its application. C2. To gain an extended knowledge regarding optimal control tasks. C3. To develop necessary skills to use software tools for linear and nonlinear optimization tasks. C4. To develop necessary skills to analysis and presentation of results of investigation for different

optimization algorithms. C5. To be able to design and implement the computer optimal control system for different performance

criterion. C6. To gain and consolidate social competences of the effective work in the student team.

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 the student has an extended/advanced knowledge regarding mathematical methods of

optimization which are necessary in solving of different problems in informatics, PEK_W02 the student has an extended/advanced knowledge regarding linear and nonlinear

programming and numerical methods of optimization, PEK_W03 the student has an extended/advanced knowledge regarding methods of optimal control for

continuous and discrete control systems, PEK_W04 the student has an extended/advanced knowledge regarding chosen mathematical problems

which is necessary in understanding informatics problems. relating to skills: PEK_U01 student is able to apply as well the analytical and graphic methods as software tools to linear

and nonlinear optimization problems solving, PEK_U02 student can prepare and present the analysis of simulation investigation results for given

optimization algorithm using proper software tools, PEK_U03 student is able to design the optimal control system (for the continuous and discrete cases)

for given object and for chosen measure of control quality, PEK_U04 student can prepare and present the analysis of simulation investigation results for given

optimal control system using proper software tools. relating to social competences: PEK_K01 student is able to work in the team in complex project realizing his tasks according to the

schedule of work.

PROGRAMME CONTENT


Lec 1 Organisational problems: composition three form of of classes (lecture, laboratory, and project). Introduction to optimization methods - review of question. Linear programming – graphical method and numerical example

2

Lec 2 Linear programming – simplex method, numerical example 2

Lec 3 Nonlinear programming – Lagrange multipliers method, numerical example 3

Lec 4 Kuhn – Tucker’s method, numerical example 4

Lec 5 Numerical methods – introduction, review of gradient and non-gradient methods 4

Lec 6 Statement of optimal control problem for static system. Continuous dynamic control systems- description in the form of state vector. Statement of the optimal control task for dynamic plant – review of the problems.

3

Lec 7 Minimum principle of Pontryagin – description of derivation of this method in SISO case. Presentation of minimum principle of Pontryagin in general case. Application of this method to the time-optimal system design – practical example.

6

Lec 8 Application of dynamic programming method to the task of optimal control for continuous object – practical example.

3

Lec 9 Application of dynamic programming method to the task of optimal control for discrete object – practical example

3

Total hours 30

Form of classes - laboratory Number of hours

Lab 1 Organisational matters/issues. Presentation of exemplary program for experimental investigations using proper software tool. Preparing the software for golden section search and for the method of quadratic approximation and investigation of properties of these methods.

3

Lab 2 Preparing the software for Hook-Jeeve’s algorithm and investigation of properties of this method.

3

Lab 3 Preparing the software for Rosenbrock algorithm and investigation of properties of this methods.

3

Lab 4 Preparing the software for steepest descent algorithm and investigation of properties of this method.

3

Lab 5 Preparing the software for Newton algorithm and investigation of properties of this methods.

3

Total hours 15


Proj 1 Organization of 2-3 persons project teams. Presentation and discussion of optimal control tasks for particular project teams.

3

Proj 2 Presentation of theoretical elaboration of description and properties of chosen control plant.

3

Proj 3 Realization of project tasks according to the schedule. 6

Proj 4 Presentation of project results by all project teams. 2

Proj 5 Discussion of project results presented in students reports. 1

Total hours 15

TEACHING TOOLS USED N1. Lecture N2. Multimedia presentation N3. Software laboratory task N4. Simulation investigations of algorithms N5. Report with the analysis of research results N6. Software project task N7. Consultation N8. Presentation of the project N9. Self-study




F1 PEK_W01,PEK_W02,PEK_W03,PEK_W04 activity during lectures, final note of written test

F2 PEK_U01, PEK_U02, PEK_K01 activity during laboratory, final note of written report describing realized exercises

F3 PEK_U03, PEK_U04, PEK_K01 activity during project, final note of written report describing realized tasks

P =0.5 F1 + 0.25 F2 + 0.25 F3


PRIMARY LITERATURE: [1] [1] Bhati A., „Practical Optimization Methods”, Springer, 2000 [2] Findeisen W., Szymanowski J., Wierzbicki A., „Teoria i metody obliczeniowe

optymalizacji”,PWN, Warszawa, 1980 (in Polish) [3] Fletcher R., „Practical Methods of Optimization”, J.Wiley, New York, 1987 [4] Nocedal J., Wright S.,J., “Numerical Optimization”,Springer 1999 [5] Stachurski A., Wierzbicki A.,P., “Podstawy optymalizacji”. Oficyna Wydawnicza Politechniki

Warszawskiej,Warszawa, 2000 (in Polish) [6] Stachurski M., ”Metody numeryczne w programie MATLAB”, MIKOM, Warszawa,2003 [7] Athans M., Falb P., „Optimal Control: An Introduction to the Theory and Its Applications”,

Dover Publications, 2006 [8] Kirk D., „Optimal Control Theory: An Introduction”, Dover Publications, 2004 [9] Sage A., White Ch., „Optimum Systems Control”, Prentice-Hall Inc. 1977 [10] Bubnicki Z., „Teoria i Algorytmy Sterowania”, PWN, 2002 (in Polish) [11] Mościński J., Ogonowski Z., „Advanced control with matlab and simulink”, Ellis Horwood

Limited, 1995 SECONDARY LITERATURE: Proposed by the teacher after each lecture SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Dr in ż. Andrzej Żołnierek, [email protected]

MATRIX OF CORRELATION BETWEEN EDUCATIONAL EFFECTS FOR SUBJECT: Optimization Methods: Theory and Application

AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY: Computer Science

AND SPECIALIZATION: Advanced Informatics and Control

Subject educational effect Correlation between

subject educational effect and educational effects defined for main field of

study and specialization (if applicable)**




PEK_W01(knowledge) S2AIC_W02 C1,C2 Lec 1-Lec 9 N1, N2, N7,N9

PEK_W02 S2AIC_W02 C1 Lec 1-Lec 5, Lab 1-Lab 5

N1, N2, N3,N4,N5,N7,N9

PEK_W03 S2AIC_W02 C2 Lec 6-Lec 9, Proj 2-Proj 3

N1, N2,N6, N7,N8,N9

PEK_W04 K2INF_W01 C1, C2 Lec 1-Lec 9 N1, N2, N7,N9

PEK_U01(skills) S2AIC_U05 C3, C4 Lab 1-Lab 5 N3,N6, N8, N9

PEK_U02 S2AIC_U05 C3, C4 Lab 1-Lab 5 N4, N5, N8

PEK_U03 S2AIC_U14 C5 Proj 1, Proj 2,

Proj 3 N4,N5, N6,N8, N9

PEK_U04 S2AIC_U14 C5 Proj 4 N5,N8

PEK_K01(competences) K2INF_K04 C6 Lab 1-Lab 5, Proj 1-Proj 5

N4, N5, N6, N8, N9


Zał. nr 4 do ZW 64/2012


Name in Polish: Sygnały i telekomunikacja Name in English: Signals and Telecommunications Main field of study: Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code: INEA203 Group of courses: YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

15 15


45 45

Form of crediting Crediting with grade

Crediting with grade


X

Number of ECTS points 3

including number of ECTS points for practical

(P) classes

2


(BK) classes

1 1

PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. Basic knowledge concerning deterministic and stochastic signals \

SUBJECT OBJECTIVES C1 Attainment of knowledge in the area of theory and algorithms of digital processing of deterministic

as well as stochastic signals and its applications in telecommunications.

C2 Attainment of ability of software implementation (Matlab® environment) of the algorithms of analysis, filtering, parameterization and digital synthesis of second-order stochastic signals.

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 – each student possesses knowledge in the area of second-order stochastic signals digital

processing. PEK_W02 – each student knows algorithms of orthogonal processing of second-order wide-sense

stationary and non-stationary stochastic signals and time-series PEK_W03 – each student knows basic problems of optimal and adaptive filtering, orthogonal

parameterization and digital synthesis of stochastic signals with applications in digital telecommunication systems.

relating to skills: PEK_U01 – each student is able to analyze basic properties of stochastic signals from the

viewpoint of transmission of information in telecommunications PEK_U02 – each student is able to implement and employ programming tools (Matlab®

environment) solving problems of signals analysis and filtering PEK_U03 – each student is able to perform computer-aided simulation experiments relating to social competences: PEK_K01 – each student is able to apply various methods of transmission of information,

employing efficient compression techniques

PROGRAMME CONTENT


Lec 1 Introduction. Classification of signals. Deterministic and stochastic signals. Representation of deterministic signals in the time- and frequency-domains. Fourier transformation, FFT algorithm and its properties.

2

Lec 2 Sampling, aliasing and spectrum leakage phenomena. Quantization of signals. Discrete-time systems. Z transformation. FIR and IIR digital filters design.

2

Lec 3 Stochastic signals: description, properties and parameters. Linear transformations of stochastic signals. Linear least squares prediction problem for wide-sense stationary second-order stochastic signals. Levinson algorithm.

3

Lec 4 Schur parameterization of wide-sense stationary second-order stochastic signals. Innovations filtering of second-order signals. Parametric estimation of power spectral density.

3

Lec 5 Stochastic modeling of second-order signals. Orthogonal filters. Transmission of stochastic signals using LPC method. Compression of information. Applications in telecommunications.

2

Lec 6 Adaptive innovations filtering of non-stationary stochastic time-series. Time-frequency domains transformations of non-stationary stochastic time-series. Current research directions of the theory and processing of signals in telecommunications.

3

Total hours 15


Lab 1 Normalized Levinson algorithm 2

Lab 2 Innovations filtering of stationary time-series 2

Lab 3 Stochastic modeling of stationary time-series 2

Lab 4 Parametric estimation of power spectral density of stationary time-series 2

Lab 5 Adaptive innovations filtering of non-stationary time-series 3

Lab 5 Parametric estimation of power spectral density of non-stationary time-series. Time-domain evolution of power spectral density. Time-frequency domains transformations

4

Total hours 15

TEACHING TOOLS USED

N1. Lecture with multimedia presentations N2. Problem-oriented discussion N3. Lab classes N4. Consultations N5. Own effort – preparation for lectures N6. Own effort – preparation of the lab topics reports


Evaluation Educational effect number


F1 PEK_W01, PEK_W02,

PEK_W03

Grading of a written colloquium quality, grading of oral presentations

F2 PEK_U01, PEK_U02

PEK_U03,PEK_K01

Grading of simulations proposals, grading of the lab reports quality, timeliness of tasks completion

P = 0,5F1 + 0,5F2

(F – forming (during semester), P – concluding (at semester end)


PRIMARY LITERATURE:

[1] Zarzycki J. Cyfrowa filtracja ortogonalna sygnałów losowych, WNT, Warszawa 1998 /in polish/ [2] Lyons R.G. Understanding digital signal processing, Addison-Wesley, 2002 [3] Lecture slides and lab tutorials available at www.studia.pwr.wroc.pl - (for AIC specialization) [4] Zieliński T., Od teorii do cyfrowego przetwarzania sygnałów, WKŁ, Warszawa, 2006 /in Polish/ SECONDARY LITERATURE:

[1] Szabatin J., Podstawy teorii sygnałów, Warszawa, WKŁ, 2000 /in Polish/ [2] Bendat J.S., Piersol A.G., Metody analizy i pomiaru sygnałów losowych, Warszawa, PWN, 1976 /in Polish/ [3] Journal papers suggested by the lecturer

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Professor Jan Zarzycki, [email protected]


Signals and Telecommunications AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY

Computer Science AND SPECIALIZATION Advanced Informatics and Control

Subject educational effect Correlation between subject educational effect and educational

effects defined for main field of study and specialization (if

applicable)**




PEK_W01 (knowledge) S2TMT_W02 C1

Lec1, Lec2, Lec3, Lec4

N1, N2, N4, N5

PEK_W02 S2TMT_W02 C1 Lec3, Lec5 N1, N2, N4, N5

PEK_W03 S2TMT_W02 C1

Lec4, Lec5, Lec 7

N1, N2, N4, N5

PEK_U01 (skills) S2TMT_U02 C2 Lab2÷Lab5 N2, N3, N4, N6

PEK_U02 S2TMT_U02 C2 Lab1÷Lab6 N2, N3, N4, N6

PEK_U03 S2TMT_U02 C2 Lab2÷Lab5 N2, N3, N4, N6


Zał. nr 4 do ZW 64/2012

FACULTY ELECTRONICS SUBJECT CARD

Name in Polish Badania naukowe, metody, zasady, realizacja 1 Name in English Research Skills and Methodologies 1 Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA206 Group of courses YES

Lecture Classes Laboratory Project Seminar

Number of hours of organized classes in University (ZZU)

60 30


100 50

Form of crediting crediting with grade*

crediting with grade*

For group of courses mark (X) final course X Number of ECTS points 5 including number of ECTS points for practical (P) classes

4 1


2 1


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES NONE \

SUBJECT OBJECTIVES C1 Acquiring the ability to prepare presentation with results of a complex research project C2 Acquiring the ability to carry out a comparative analysis of selected properties of algorithms for solving the decision-making problems basing on the results of simulations C3 Gaining experience in research, including the ability to experiment design and implementation of the experimentation system; to demonstrate own creativity and openness to innovative approaches to achieving the goal

SUBJECT EDUCATIONAL EFFECTS relating to skills: PEK_U01 Can analyze the results of simulations PEK_U02 Is able to implement a computer-based experimentation system PEK_U03 Knows how to apply the methods and principles of experimental research PEK_U04 Knows how to prepare documentation of the project PEK_U05 Can deliver project results to the whole group using a multimedia presentation relating to social competences: PEK_K01 Is able to demonstrate own creativity in the implementation of the research task

Form of classes - project Nr of hours

Proj 1 Assignment of the first stage project (to be prepared in 3-person teams) – concerned analysis of results of experiments performed using simulators

4

concerned analysis of results of experiments performed using simulators delivered by the teacher. Comparative study of properties of algorithms for the selected decision problems (e.g., location of base stations, tasks allocation in networks with different structures, nesting)

Proj 2 Familiarizing with the issues related to the projects to be prepared by the other teams. Determining the initial timetable for activities (in the form of Gantt chart) and the principles of intra-team and tutor communication.

4

Proj 3 Presentation of selected issues related to the methodology of scientific research, planning experiments and formulating hypotheses

4

Proj 4 The implementation of individual project tasks along with the schedule of the first stage of the project.

12

Proj 5 Determination of topics of the second stage of the project (individual performance) basing on the analysis of the results of simulations carried out using performed simulators (software implemented).

6

Proj 6 Development of the Project Card (individual issues) – statement of the mathematical model of the problem, description of the algorithms for solving, presenting functions and structure of the experimentation system, guidelines for the implementation of applications, own contribution.

6

Proj 7

The implementation of individual project tasks along with the schedule of the second stage of the project.

12

Proj 8 Presentation of the results of simulations and examples of research. Discussion. Verification of projects. Determination of possible changes.

8

8

Proj 9 Presentation of final project documentation in written form. The assessment of the projects.

4

Total hours 60

Form of classes - seminar Nr of hours Sem 1 Discussion of the form and contents of the seminar. Setting a schedule and

rules for the preparation of presentations in two cycles. 2

Sem 2 Presentation of the results of simulations performed with the use of simulators as indicated by the teacher. Critical analysis with respect to the subject matters (comparing the algorithms). Critical analysis of the quality of the simulator (implemented experimentation system).

12

Sem 3 Discussion during seminar on improving the process of preparing guidelines for the second series of presentations

2

Sem 4 Presentation of the own individual contribution during the second stage of the project e.g., results of simulations performed along with created algorithms or/and using designed and implemented simulators, and individually designed experiments.

12

Sem 5 The discussion summarizing a series of presentations with an evaluation of presenters made by the teacher and by the students.

2

Total hours 30

TEACHING TOOLS USED N1. Multimedia presentation N2. Discussion N3. The simulation studies N4. The implementation of the computer program

N5. Written report N6. Consultation N7. Own work


Evaluation Educational effect number Way of evaluating educational effect achievement

F1 PEK_U01, PEK_U05, PEK_K01

Evaluation of quality of presentation concerning subsequent stages of the project (by the teacher and by the students), the activity in the group discussions, the timetable

F2 PEK_U01 PEK_U02 PEK_U03 PEK_U04 PEK_U05, PEK_K01

Rating originality and quality of the analysis made, own programming contribution, assessment of the quality of project documentation

C= 0.3*F1+0.7*F2

(F – forming (during semester), C – concluding (at semester end)


PRIMARY LITERATURE: [1] J. Robertson, Robertson, S., Full system analysis, WNT Warsaw, 2003 [2] A. Dennis, Wixam BH, System Analysis, Design, John Wiley & Sons, 2003

SECONDARY LITERATURE: [3] The literature on the dedicated simulators, technologies and environments; references

recommended by the teacher

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Dr in ż. Leszek Koszałka, [email protected]


SUBJECT Research Skills and Methodologies 1



Subject educational effect Correlation between subject educational effect and






PEK_U01 (skills) S2AIC_U03, S2AIC_K01 C1, C2

Proj1, Proj9, Sem2, Sem4

N1, N2, N3, N6

PEK_U02 S2AIC_U03 C1, C3 Proj6-Proj8 N4, N6, N7

PEK_U03 S2AIC_U03 C2, C3 Proj2 – Proj5, Proj7 N1, N2, N3

PEK_U04 S2AIC_U03 C1 Proj3, Proj6, Proj9 N5

PEK_U05 S2AIC_U04 C1 Proj8, Sem1 – Sem5 N1, N2

PEK_K01 (competences) S1TIP_K02 C3 Proj4-Proj7 N3, N4, N7


Zał. nr 4 do ZW 64/2012

FACULTY Electronics SUBJECT CARD

Name in Polish: Zarządzanie projektem teleinformatycznym Name in English: System Analysis and Computer Project Management Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA207 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

15 15 15 15


30 30 60 30

Form of crediting Examination Crediting with grade




X



- 1 1


0,5 2 1 0,5


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. 2. 3. \

SUBJECT OBJECTIVES C1 Knowledge acquisition on peculiarity of IT projects C2 Knowledge acquisition on method of gathering user requirement C3 Knowledge acquisition on project management methods and processes C4 Knowledge acquisition on nontechnical-soft aspects of project management C5 Practical skill acquisition on Project planning, monitoring, and control C6 Practical skill acquisition on gathering user requirement and working out system requirements C7 Practical skill acquisition on Project team cooperation

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 Student has knowledge on peculiarities of IT projects problems of IT project realization PEK_W02 Student has knowledge on rules of IT project planning and preparation project

documentation. PEK_W03 Student has knowledge on rules of working out user requirements documentation for IT

project PEK_W04 Student has knowledge on IT project management.

relating to skills: PEK_U01 Student can recognize the type of the IT Project and assesses its complexity, choose

appropriate model and work out strategy of realization. PEK_U02 Student can work out project documentation using selected computer system

supporting project planning PEK_U03 Student can user requirements documentation of IT Project. PEK_U04 Student can manage IT Project

relating to social competences: PEK_K01 Student can recognize potential nontechnical-soft problems which can be

encountered during project realization. Student can plan respective prevention actions. PEK_K02 Student can effectively cooperate in Project team

PROGRAMME CONTENT


Lec 1 Peculiarities of IT Project. Problem of IT Project realization. 1

Lec 2 Project management processes according to selected methodology. 2

Lec 3 User requirements documentation 2

Lec 4 Project planning and estimation 4

Lec 5 Risk management 2

Lec 6 Quality management 2

Lec 7 Project monitoring and control 2

Total hours 15


Lab 1 Introduction to Microsoft Project Professional 2

Lab 2 Defining project parameters, WBS, tasks relations and sequence, constraints, calendars.

2

Lab 3 Advanced methods of resource management and Project Schedule refining. 2

Lab 4 Resource leveling 2

Lab 5 Budget management 2

Lab 6 Methods of monitoring Project status and Progress 1

Lab 7 Reporting 1

Lab 8 Multiple Project management 1

Lab 9 Working out student’s own Project 2

Total hours 15

Form of classes – project Number of hours

Proj 1 Presentation of prospective Project 1

Proj 2 Establishing Project teams 1

Proj 3 Working out user requirements 4

Proj 4 Working out: WBS, resource requirements, project constraints, detailed project schedule

3

Proj 5 Working out risk analysis 2

Proj 6 Working out change management procedures 2

Proj 7 Working out project closing documentation 2

Total hours 15

Form of classes – seminar Number of hours

Sem 1 Introduction, schedule and rules of the seminar, presentation of the recommended literature

1

Sem 2 Student’s presentation of project introductory assumptions, constraints, objectives. 4

Sem 3 Student’s presentation of user requirements documentation and project charter 5

Sem 4 Student’s presentation of selected project management issues. 5

Total hours 15

TEACHING TOOLS USED N1 Lecture with the multimedia presentation N2 Lecture devoted to a problem N3 Consultation N4 Literature study N5 Student presentation N6 Laboratory hours N7 Seminar presentation and discussion





F1 PEK_W01 PEK_W02 PEK_W03 PEK_W04

Exam

F2 PEK_U01 PEK_U02 PEK_U03 PEK_U04

Evaluation of the project milestones, Evaluation of the presentation, Evaluation of the project final report

F3 PEK_K01 PEK_K02

Evaluation of student knowledge during realization of the project

P = 0,4*F1+0,4*F2+0,2*F3


PRIMARY LITERATURE: [1] Bainey K. Integrated IT Project Management, Artech House, Boston, 2003 [2] Davidson J. Kierowanie projektem, Praktyczny poradnik dla tych, którzy nie lubią tracić

czasu, Liber, Warszawa, 2002 [3] Philips J., Zarządzanie projektem IT, Helion, Gliwice, 2005 [4] A Guide to the Project Management Body of Knowledge, 4th Edition, PMI, 2009. SECONDARY LITERATURE: [1] Alexander I., Beus-Dukic L., Discovering Requirements, John Wiley, 2009

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Konrad Jackowski [email protected]


SUBJECT System Analysis and Computer Project Management



Subject educational

effect

Correlation between subject educational effect and educational

effects defined for main field of study and specialization (if applicable)**


Programme content*** Teaching tool number***

PEK_W01 S2AIC_W01, S2INE_W01

C1 Lec1, Sem2 N1 N2 N7

PEK_W02 S2AIC_W01, S2INE_W01

C2, C3 Lec2, Lec3, Lec4, Lec5, Lec6

N1 N2

PEK_W03 S2AIC_W01, K2INF_W08 C2 Lec3 N1, N2 PEK_W04 S2AIC_W01,

S2INE_W01 C3,C4,C5 Lec2, Lec5, Lec6, Lec7,

Lec8 N1, N2

PEK_U01 S2AIC_U01, S2AIC_U02, K2INF_U02, K2INF_U04

C1,C2,C5 Proj1, Sem1 N3,N4, N7

PEK_U02 S2AIC_U01 C5 Lab1,Lab2,Lab3,Lab4,Lab5,Lab6,Lab7,Lab8,Lab

9

N6

PEK_U03 K2INF_W08,K2INF_U03, K2INF_U04

C6,C7 Proj3, Sem2, Sem3 N3,N4,N5,N7

PEK_U04 S2AIC_W01, S2INE_W01, S2AIC_U02,K2INF_K04,

S2INE_K02

C2 Proj1,Proj2,Proj3,Proj4,Proj5,Proj6,Proj7, Sem3

N3,N4,N5,N7

PEK_K01 K2INF_K04, S2INE_K02

C7 Proj1,Proj2,Proj3,Proj4,Proj5,Proj6,Proj7, Sem1,Sem2,Sem3,

Sem4

N3,N4,N5,N7

PEK_K02 K2INF_K04, S2INE_K02

C7 Proj1,Proj2,Proj3,Proj4,Proj5,Proj6,Proj7

Sem1,Sem2,Sem3, Sem4

N3,N4,N5,N7


Zał. nr 4 do ZW 64/2012


Name in Polish: Badania naukowe, metody, zasady, realizacja 2 Name in English: Research Skills and Methodologies 2 Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INE208 Group of courses NO Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

60


150


For group of courses mark (X) final course Number of ECTS points 5 including number of ECTS points for practical (P) classes

5


3


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. S2AIC_U03, S2AIC_U04 \

SUBJECT OBJECTIVES C1 Learn how to select and determine the methodology of work in the form of a diploma thesis C2 Acquiring the ability to present research results in a scientific paper form, in particular taking into account the editorial requirements C3. The acquisition of competence of creativeness, of the formulation of research topics, processing and presentation of the results of investigations

SUBJECT EDUCATIONAL EFFECTS relating to skills: PEK_U01 can write the paper presenting the results of research PEK_U02 knows how to develop the paper in accordance with the editorial requirements PEK_U03 is able to formulate the proposal of the future diploma problem PEK_U04 acquires the ability to choose and determine the methodology of research. relating to social competences: PEK_K01 can think and act in a creative way PEK_K02 can use literature sources and make the selection of materials available on the

Internet


Proj Familiarizing with the principles of preparing scientific articles in English - the 6

1 structure of the article composed of: Introduction, Related work, Problem statement, Solution - Algorithms, Experimentation system, Investigation, Analysis of results, Conclusion. Presentation and examination of examples of articles

Proj 2

Discussion of individual drafts made on the basis of studies carried out in the field of the RSM - 1

6

Proj 3

Presentation and discussion of the editorial requirements and detailed rules for formatting articles based on well-known publications in the field of information technology: IEEE, IFAC, Springer, Elsevier

6

Proj 4

The development of future versions of student’s papers, verification by the tutor, improvement of the content and form of articles (papers)

12

Proj 5

Preparations to establish the topic of diploma (final) project. Getting to know the current areas of research and development directions of scientific disciplines related to specialization area of interest, discussion about literature sources and the role of the supervisor

6

Proj 6

Discussion of issues related to the methodology of scientific research: • The mathematical formulation of problems, research hypotheses: • A review of research methods and techniques, • Plan of investigation, design of experiments. • Analysis of the results of experiments, the role of statistical analysis.

12

Proj 7

Preparing a preliminary drafts of final projects and brief presentations (with discussion)

6

Proj 8

Preparing in written form both individual ‘products’: (i) the final version of the paper prepared along with the chosen editorial rules; (ii) the proposed topic of the final diploma project. Discussion and justification of the assessment

6

Total hours 60

TEACHING TOOLS USED N1. Written works N2. Discussion N3. Consultation N4. Own work


Evaluation (F Educational effect number Way of evaluating effect of achievement

F1 PEK_U03 PEK_U04, PEK_K01, PEK_K02

Rating successive stages of preparing a final project topic, the timetable, the activity in the discussion

F2 PEK_U01, PEK_U02 PEK_K01 PEK_K02

Assessment of the content, structure and form of the scientific paper (article) - summarized semester work

C = 0.3*F1+0.7*F2


PRIMARY LITERATURE: 1. Teaching materials for the course RSM - 2 (written for the development of the European

project, available online) 2. D. Remenyi, A. Money, „Research Supervision for Supervisors and their Students”, API, 2012 3. J. Apanowicz, „Zarys metodologii prac dyplomowych…”, 1997 /in Polish/ 4. M. Korzyński, „Metodyka eksperymentu”, WNT, 2006 /in Polish/ 5. D.C. Montgomery, „Design and Analysis of Experiments”, 2012 6. R. Tadeusiewicz, „Drogi i bezdroża statystyki w badaniach naukowych”, 2002 /in Polish/ 7. A. Dennis, B. H. Wixam , “System Analysis, Design, John Wiley & Sons”, 2003 8. G.J. Cobb, “Introduction to Design and Analysis of Experiments”, 1998 SECONDARY LITERATURE: The references recommended by the teacher - literature on selected methodologies and in various research areas

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Dr in ż. Iwona Poźniak-Koszałka, [email protected]







applicable)**




PEK_U01 (skills) S2AIC_U20, S2AIC_U03, S2AIC_K02

C1 Proj1, Proj2, Proj8 N1, N2, N3, N4

PEK_U02 S2AIC_U20, C1 Proj3, Proj4, Proj8 N1, N2, N3, N4

PEK_U03 S2AIC_U03, S2AIC_K02 C1 Proj5, Proj7 N1, N2, N4

PEK_U04 S2AIC_U03, S2AIC_K0, S2AIC_K01

C1 Proj6, Proj7, Proj8 N1, N2, N4

PEK_K01 (competences) S2AIC_U20, S2AIC_K02 C3 Proj2, Proj4, Proj7 N4

PEK_K02 S2AIC_U03, S2AIC_K02 C3

Proj1, Proj3, Proj5, Proj6

N2, N4


Zał. nr 4 do ZW 64/2012


Name in Polish: Modelowanie i optymalizacja sieci komputerowych Name in English: Modeling and Optimization of Computer Networks Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA209 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

30 15 15


45 60 45





X



- 1,5 1


1,5 1 1


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES \

SUBJECT OBJECTIVES C1. Knowledge in the field of application of computer networks and in the field of modeling, design and optimization of computer network. C2. Competence of formulation, solving and presentation of design and optimization problems related to computer networks. C3. Social competence of creative thinking and action towards solving of computer network problems.

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 – student has knowledge in the field of computer network applications. PEK_W02 – student has knowledge of computer network standards. PEK_W03 – student has knowledge of modeling, design and optimization of computer

network. relating to skills: PEK_U01 – student can search information related to operation, modeling, design and

optimization of computer network.

PEK_U02 – student can formulate computer network optimization problems PEK_U03 – student can solve computer network optimization problems PEK_U04 – student can present research results relating to social competences: PEK_K01 – student can creatively solve computer network optimization problems

PROGRAMME CONTENT


Lec 1 Introduction. 2

Lec 2 Optimization methods. 2

Lec 3 Technology-related modeling examples. 2

Lec 4 Multicommodity flows. 2

Lec 5 Flow assignment problems 2

Lec 6 Capacity and flow assignment problems 2

Lec 7 Anycast flows. 2

Lec 8 Multicast flows. 2

Lec 9 P2P flows. 2

Lec 10 Distributed computing systems. 2

Lec 11 Survivable networks. 2

Lec 12 Topology and location problems. 2

Lec 13 Multilayer networks. 2

Lec 14 Networks with shortest path routing. 2

Lec 15 Future directions. 2

Total hours 30

Form of classes - project Number of hours s

Proj 1 Literature analysis in selected topic related to computer networks. 2

Proj 2 Formulation of a research problem related to modeling and optimization of computer networks.

2

Proj 3 Development of a solution method. 2

Proj 4 Analysis of implementation environments. 1

Proj 5 Implementation of the solution method. 3

Proj 6 Experiments. 2

Proj 7 Evaluation of results. 1

Proj 8 Final report 1

Proj 9 Presentation of the final report. 1

Total hours 15

Form of classes - seminar Number of hours

Sem 1 Presentation of a research problem related to modeling and optimization of computer networks including literature survey, discussion.

4

Sem 2 Presentation of a solution method for a research problem related to modeling and optimization of computer networks, discussion.

4

Sem 3 Presentation of results and conclusions obtained according to research problem related to modeling and optimization of computer networks, discussion.

7

Total hours 15

TEACHING TOOLS USED N1. Lecture with multimedia presentations.

N2. Problem-oriented lecture

N3. Discussion

N4. Consultation

N5. Presentation - seminar

N6. Own work – preparation to lecture, seminar and project. EVALUATION OF SUBJECT EDUCATIONAL EFFECTS ACHIEVEME NT




F1 PEK_W01 ÷ PEK_W03

Tests, oral answers

F2

PEK_U01 ÷ PEK_U03,

PEK_K01

Project work, presentation of project, participation in discussion

F3 PEK_U04 Seminar presentation, participation in discussion

P = 0,5F1 + 0,25F2 + 0,25F3


PRIMARY LITERATURE: [1] K. Walkowiak, Modeling and Optimization of Computer Networks, Textbook, Wroclaw

University of Technology, 2011 [2] M. Pióro, D. Medhi, „Routing, Flow, and Capacity Design in Communication and Computer

Networks”, Morgan Kaufman Publishers 2004 [3] A. Kasprzak, „Rozległe sieci komputerowe z komutacją pakietów”, Oficyna Wydawnicza

Politechniki Wrocławskiej, Wrocław 1997 [4] Buford J., Yu H. and Lua E., P2P Networking and Applications, Morgan Kaufmann, 2009 [5] W. Grover, „Mesh-based Survivable Networks: Options and Strategies for Optical, MPLS,

SONET and ATM Networking”, Prentice Hall PTR, Upper Saddle River, New Jersey, 2004 SECONDARY LITERATURE: [1] Standards RFC (ang. Request for Comments) IETF (ang. Internet Engineering Task Force)

www.ietf.org [2] Standardy organizacji IEEE (ang. Institute of Electrical and Electronics Engineers)

www.ieee.org [3] R. K. Ahuja, T. L. Magnanti, and J. B. Orlin. Network Flows: Theory, Algorithms, and

Applications, Prentice Hall, 1993 [4] Web site J. B. Orlin http://web.mit.edu/jorlin/www/ [5] J. Vasseur, M. Pickavet, P. Demeester, Network Recovery, Protection and Restoration of Optical,

SONET-SDH, IP, and MPLS, Elsevier, 2004 [6] L. Ford, D Fulkerson, Przepływy w sieciach, PWN, Warszawa 1969 [7] Hofmann M. and Beaumont L., Content networking: architecture, protocols, and practice,

Morgan Kaufmann, San Francisco, 2005 [8] Minoli D. , IP Mulitcast with Applications to IPTV and Mobile DVB-H, John Wiley & Sons,

2008 [9] Research papers

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Dr hab. inż. Krzysztof Walkowiak, [email protected]


SUBJECT Modeling and Optimization of Computer Networks





applicable)**




PEK_W01 S2AIC_W08 C1 Lec1, Lec5÷Lec15

N1÷N4, N6

PEK_W02 S2AIC_W08 C1 Lec1, Lec5-Lec15

N1÷N4, N6

PEK_W03 S2AIC_W08 C1 Lec2÷Lec14 N1÷N4, N6

PEK_U01 S2AIC_U15 C2 Proj1÷Proj4, Proj8, Proj9

N4, N6

PEK_U02 S2AIC_U15 C2 Proj1, Proj2, Proj8, Proj9

N3, N4, N6

PEK_U03 S2AIC_U15, S2AIC_U16 C2 Proj3÷Proj9 N3, N4, N6

PEK_U04 S2AIC_U15, S2AIC_U16 C2 Sem1÷Sem3 N3, N3÷N6

PEK_K01 S2AIC_K02 C3 Proj1÷Proj9 N3÷N6


Zał. nr 4 do ZW 64/2012


Name in Polish: Wstęp do przetwarzania obrazów i zastosowań w monitorowaniu jakości produkcji

Name in English: Introduction to Computer Vision in Quality Control Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code: INEA210 Group of courses: YES

Lecture Classes Laboratory Project Seminar

Number of hours of organized classes in University (ZZU)

30 30


70 80




- 2


2 2


SUBJECT OBJECTIVES C1. Classification of cameras and their properties C2. Gaining skills in selecting and creating algorithms and their sequences appropriate for solving a

task. C3. Gaining skills in writing computer codes for C2. C4. Collecting skills that are necessary for designing and creating simple applications for processing

image sequences. C5. Collecting knowledge on methods of object detection by thresholding. C6. Collecting knowledge on methods of object detection by finding their contours. C7. Collecting knowledge on standard image filters C8 Collecting knowledge on control charts for quality monitoring of industrial processes and their

applications together with image processing algorithms.

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 – has knowledge on types of cameras and their properties PEK_W02 – knows basic rules of selecting a type of camera (infra-red, ultraviolet, day or artificial light

cameras) and basic rules of selecting their parameters PEK_W03 – has knowledge on basic methods of object detection from images PEK_W04 – knows basic functional blocks of typical software for image processing PEK_W05 – knows basic principles of contouring and thresholding PEK_W06 – has basic knowledge on control charts and their applications in common with image

processing PEK_W07 – knows principles of image filtering methods PEK_W08 – knows basic notions related to processing image sequences relating to skills: PEK_U01 – has the ability to design a collection of devices for image acquisition PEK_U02 – has the skills to code simple algorithms of image processing PEK_U03 – has the skills of selecting available image processing modules for solving complex

problems arising in industrial image processing PEK_U04 – has the ability to select control chart for a given industrial process as well as an image filter

or other method of image enhancement PEK_U05 – has the skills of investigating timings of blocks in codes for image sequence processing PEK_U06 – is able to choose the image correction method PEK_U07 – has the ability to select an image compression method for archiving images relating to social competences: PEK_K01 – recognizes the importance of applications of cameras for society PEK_K02 – understands the need for self-education and capacity building for self-knowledge

and skills


Lec 1 The organization of classes, requirements and an overview of image processing applications

2

Lec 2 Image Sources, types of cameras, the selection and choice of parameters 2

Lec 3 Representations of images and noise, simple operations on images 2

Lec 4 Finding objects using different methods of segmentation 2

Lec 5, Lec 6 Methods of selecting threshold segmentation, analysis and characterization of clusters

3

Lec 6, Lec 7 Labelling clusters 3

Lec. 8 Finding objects using different methods of edge detection 2

Lec 9 Descriptors and detection of objects of known shapes - Hough transformation

2

Lec 10 Fast, coarse detection of objects and their location 2

Lec 11 Industrial applications – example 2

Lec 12 Image filtering and correction 2

Lec 13 Control charts for the mean value of the process, working with a vision system. Introduction to morphological image processing methods

2

system. Introduction to morphological image processing methods

Lec 14 Control charts for the frequency of defects and the variance of the process. Applications 2 - video sequences

2

Lec 15 repertory 2

Total hours 30


Proj 1 The organization of groups, discussion and selection of project topics 4

Proj 2 Presentation of the concept of the project by the project groups 1 4

Proj 3 Presentation of the concept of the project by the project groups 2 4

Proj 4 Individual consultations for project groups 1 4

Proj. 5 Individual consultations for project groups 2 4

Proj 6 Presentation of the project by the project groups 1 4

Proj. 7 Presentation of the project by the project groups 2 4

Proj. 8 Repetytory 2

Total hours 30

TEACHING TOOLS USED N1. Traditional lectures using video projector N2. Project N3. Consulting N4 Homework on project N5 Homework – studies





F1 PEK_W01 - PEK_W09

PEK_K01 - PEK_K02

Oral Answers to questions asked during the lecture, observations of the steps for implementing the project

F2 PEK_U01 - PEK_U06 written report on the project

C= 0,3*F1 + 0,7*F2


PRIMARY LITERATURE: [1] Gonzales R. C., Woods R. E., Digital Image Processing,

2-nd ed., Prentice Hall 2002. [2] E. Rafajłowicz, W. Rafajłowicz, Wstep do przetwarzania obrazów przemysłowych, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2011 (książka dostępna bezpłatnie na portalu Dolnoslaskiej Biblioteki Cyfrowej). (in Polish, slides available in English)

[3] Pod red. E. Rafajłowicza, W. Rafajłowicza, Algorytmy przetwarzania obrazów i wstęp do pracy z~biblioteką OpenCV. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2006 (książka dostępna bezpłatnie na portalu Dolnoslaskiej Biblioteki Cyfrowej). (in Polish)

[4] Pratt, W. K., Digital image processing, New York, Wiley, 1991.

[5] Thompson J.~R., Koronacki J., Statystyczne sterowanie procesem. Metoda Deminga etapowej optymalizacji jakości. Akademicka Oficyna Wydawnicza PLJ, Warszawa, 1994. (in Polish)

see also

Thompson J.~R., Koronacki J. Statistical process control for quality improvement, 2° ed. Chapman and Hall NY, 2001

SECONDARY LITERATURE: [1] Demant C., Streicher-Abel B. and P. Waszkewitz;

Industrial Image Processing: Visual Quality Control in [2] Jahne B., Digital Image Processing, 5-th Edition, Springer 2002. [3] Journals:

Real-Time Imaging

IEEE Transactions OnPattern Analysis and Machine Intelligence

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Professor Dsc, PhD Ewaryst Rafajłowicz, [email protected]


Introduction to Computer Vision in Quality Control AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY

Computer Science AND SPECIALIZATION Advanced Informatics and Control



applicable)**




PEK_W01, PEK_W02, PEK_W03, PEK_W04, PEK_W05, PEK_W07,

PEK_W08

S2AIC_W09, C1-C7 Lec1 - Lec13 N1, N3, N5

PEK_W06 S2AIC_W09, C3 Lec14 N1, N3, N5

PEK_U01-PEK_U03, PEK_U05-PEK_U07

S2AIC_U17 C1-C7 Proj2 - Proj7 N2, N4

PEK_U04 S2AIC_U17 C8 Proj2 - Proj7 N2, N4

PEK_K01, PEK_K02 K2INF_K04 C8 Lec1÷Lec15

Proj1÷Proj8 N1, N2, N3, N4, N5


Zał. nr 4 do ZW 64/2012


Name in Polish: Obiektowo zorientowane metody programowania równoległego Name in English: Object-oriented Parallel Programming Techniques Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: optional Subject code: INEA211 Group of courses: YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

30 30


60 90




X



3


2 3


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES Relating to knowledge: knows the basics of engineering and design methodologies used in object-oriented programming techniques, have knowledge of computer architecture and operating system, methods of control flow in the program and manage multiple processes, knows the basic algorithms for processing data structures and foundations of the theory of computational complexity Relating to skills: know how to design and implement algorithms object-oriented programming techniques know how to evaluate the computational complexity of algorithms and optimally perform its implementation using C++ programming language \

SUBJECT OBJECTIVES C1. To be familiar with the methods of parallel programming (concurrent) using GPU cards (graphics processing units) in CUDA technology C2. Learn how to design and implement object-oriented systems using parallel computing using GPU cards

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01: have a general understanding of parallel and distributed programming methods

(concurrent) PEK_W02 : have a theoretical knowledge of the issues significantly associated with parallel

programming, such as process management and synchronization mechanisms PEK_W03: knows the architecture of the GPU cards and CUDA technology and their use in

the design of object-oriented systems for parallel computing relating to skills: PEK_U01: know how to decompose a sequential algorithm using parallel and concurrent

programming techniques PEK_U02 : know how to design and implement object-oriented programming applications to

the calculations carried out using a GPU with CUDA technology relating to social competences: PEK_K01: can work with a team in the implementation of complex software project fulfilling

its role in the team

PROGRAMME CONTENT


Lec 1 Introduction - Overview of concepts: concurrent ad distributed programming, process, thread. Examples of simple parallel techniques in Unix.

4

Lec 2 Methods for synchronization of processes 2

Lec 3 Methods of algorithm decomposition to run in parallel computing environment. Examples

2

Lec 4 Overview of GPU architecture and parallel programming methodology with CUDA technology

4

Lec 5 Advanced programming methods using CUDA 4

Lec 6 Biblioteki oprogramowania wykorzystywane w technologii CUDA (Thrust)

2

Lec 7 Examples of the use CUDA technology for linear algebra, image processing and simulation of physical phenomena

4

Lec 8 The use of object-oriented methods (UML, design patterns) for design and implementation of parallel computing systems

6

Lec 9 Final Test 2

Total hours 30


Lab 1 Introduction to Linux operating system environment . Writing and running the first simple multiprocess program.

4

Lab 2 Sequential algorithm decomposition for running in parallel computing environment. Parallel computing system design methodology using object-oriented design

4

Lab 3 Introduction to CUDA - software design, implementation and development of simple programs in CUDA technology

4

Lab 4 Advanced programming techniques used in CUDA (synchronization methods, optimal use of memory on the GPU, handling streams, errors,

14

and exceptions) Lab 5 The team project 4 Total hours 30

TEACHING TOOLS USED N1. Lectures N2. The laboratory place having computer with Internet access N3. Stand-alone working N4. Working in the team




F1 PEK_W01, PEK_W02, PEK_W03

Final Test

F2 PEK_U01, PEK_U02,

PEK_K01

Rating for problems resolved during laboratory form

P = 0.5*F1 + 0.5*F2


PRIMARY LITERATURE: [1] Parallel and Distributed Programming Using C++ , Cameron Hughes, Prentice Hall

2004 [2] Programming Massively Parallel Processors: A Hands-on Approach, David B. Kirk;

Morgan Kaufman Publ. Inc., 2010 [3] CUDA by Example: An Introduction to General-Purpose GPU Programming,

Jason Sanders; Addison-Wesley ,2010 SECONDARY LITERATURE: [1] Websites dedicated CUDA programming (by NVIDIA) SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Wojciech Tarnawski, [email protected]


SUBJECT Object-oriented Parallel Programming Techniques









PEK_W01 (knowledge) S2AIC_W10 C1,C2 Lec 1,Lec 2, N1

PEK_W02 S2AIC_W10 C1,C2 Lec 2,Lec 3 N1

PEK_W03 S2AIC_W10 C1,C2 Lec 4,Lec 5,

Lec 6,Lec 7, Lec 8

N1,N3

PEK_U01 (skills) S2AIC_U18 C1,C2 Lec 3, Lab 2 N2,N3

PEK_U02 S2AIC_U18 C1,C2 Lec 3, Lab 3, Lab 4 N2, N3

PEK_K01 (competences) S2AIC_U18 C2 Lab 5 N4


Zał. nr 4 do ZW 64/2012


Name in Polish: Nowoczesna platforma programowo-sprzętowa do zastosowań biznesowych.

Name in English: Modern Hardware and Software Management Platform Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: optional Subject code: INEA212 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

30 30


70 80



For group of courses mark (X) final course X Number of ECTS points 5 including number of ECTS points for practical (P)

classes 3


5


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. Basic knowledge in programming \

SUBJECT OBJECTIVES

C1 Acquainting with philosophy and architecture of the business-oriented systems C2 Acquainting with OS/400 system C3 Acquainting with iSeries platform C4 Acquainting with philosophy of OS/400 system C5 Acquisition of the basic skills of interaction with IBM i. C6 Acquisition of of basic skills of IBM i handling. C7 Getting to know the basics of programming in an i5/OS C8 Acquisition of system administration skills within the specified range

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 Knows foundation, philosophy, and the construction of the IBM iSeries

PEK_W02 Can explain the mechanisms specific to IBM i, iSeries

PEK_W03 Knows how to point out the route to the desired result of the process of software development

PEK_W04 Can point out ways to get the effects of simple administrative tasks.

PEK_W05 Knows explanation the mechanisms of interaction of system objects relating to skills: PEK_U01 Knows how to use "IBM and" within a given range, using different interfaces.

PEK_U02 Has basic knowledge of software deployment in OS/400 system

PEK_U03 Knows how to create a database and manipulate its contents.

PEK_U04 Can solve simple problems in carrying out tasks.

PEK_U05 Able to perform administrative tasks on the system, within the assumed range.

PROGRAMME CONTENT


Lec 1 Introduction. History. Aims and objectives of the system architecture. 1,0

Lec 2 The system architecture, scalability and availability issues. 6,0

Lec 3 The basics of use of and interaction with the system. 1,5

Lec 4 User environment, control of session and task. 1,5

Lec 5 Introduction to issues of system administration. 3,0

Lec 6 Programming elements (CL, RPG, C ..) 3,0

Lec 7 DB2 UDB 1,5

Lec 8 Java in the OS/400 environment. Stand-alone applications and application server.

2,0

Lec 9 High Availability solutions. 1,0

Lec 10 Virtualization. Theory and iSeries implementation. 2,0

Lec 11 Hardware Management Console 1,5

Lec 12 Objects and permissions. Object interactions. Selected topics 2,0

Lec 13 Subsystems and jobs. Basics of administration. Selected topics. 4,0

Total hours 30


Lab 1 Introduction to interacting with the system - console interface 1,5

Lab 2 Basic elements of session environment administration. 1,5

Lab 3 Editing, compilation, registration and launching of CL programs. 4,5

Lab 4 Editing, compilation and launching of Java applications 1,5

Lab 5 Acquainting with client in a Windows environment. 1,0

Lab 6 Construction of content editing. 2,0

Lab 7 Acquainting with client in a WEB environment 1,0

Lab 8 Tracking services servers work. 2,0

Lab 9 Elements of permissions administration. 3,0

Lab 10 Elements of subsystems management. 4,0

Lab 11 Chosen issues of system administration. 8,0

Total hours 30

TEACHING TOOLS USED N1. informative lecture N2. multimedia presentation N3. supervised laboratory exercises





F1 PEK_U01 Evaluation of activity and efficiency of the implementation of exercise based on the observation of its progress.




exercise based on the observation of its progress.

F3 PEK_U05 Evaluation of activity and efficiency of the implementation of exercise based on the observation of its Progress.

F3 PEK_W01 Test

F3 PEK_W02 Test

F3 PEK_W03 Test

F3 PEK_W04 Test

F3 PEK_W05 Test

C=2,0+((1/10)*(F1+. . .+F10)-2,0)*INT(0,2*(F1+F2+F3+F4+F5)/3) where: Fx= 2,0..5,5; INT-integer part


PRIMARY LITERATURE: Technical documentation: [1] http://publib.boulder.ibm.com/infocenter/iseries/v7r1/index.jsp [2] http://publib.boulder.ibm.com/infocenter/iseries/v6r1/index.jsp [3] http://www.redbooks.ibm.com/portals/power [4] Frank G. Soltis, Fortress Rochester. The Inside Story of the IBM iSeries, 29th Street

Press., 2001 SECONDARY LITERATURE: Technical documentation [1] http://publib.boulder.ibm.com/infocenter/iseries/v5r3/index.jsp [2] http://publib.boulder.ibm.com/infocenter/iseries/v5r4/index.jsp [3] SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Mariusz Kozioł, [email protected]


SUBJECT Modern Hardware and Software Management Platform



Subject educational effect Correlation between subject educational effect and educational effects defined for main field of study and specialization

(if applicable)**


Programme content*** Teaching tool number***

(knowledge) PEK_W01

S2AIC_W10 C1 Lec1, Lec2 N1

PEK_W02 S2AIC_W10 C2, C3, C4 Lec1, Lec2, Lec3 N1, N2

PEK_W03 S2AIC_W10 C1, C2, C3 Lec3-Lec11 N1, N2

PEK_W04 S2AIC_W10 C2, C3, C4 Lec3, Lec11, Lec12, Lec13

N1,N2

PEK_W05 S2AIC_W10 C2, C3, C4 Lec3, Lec11, Lec12, Lec13

N1,N2

(skills) PEK_U01

S2AIC_U18 C5, C6 Lab1, Lab2, Lab5, Lab7

N2, N3

PEK_U02 S2AIC_U18 C6, C7 Lab3, Lab4 N2, N3

PEK_U03 S2AIC_U18 C6 Lab6 N2, N3

PEK_U04 S2AIC_U18 C5, C6 Lab1-Lab4, Lab4 N2, N3

PEK_U05 S2AIC_U18 C8 Lab2, Lab9-Lab11

N2, N3

(competences) PEK_K01


Zał. nr 4 do ZW 64/2012


Name in Polish: Zarządzanie informacją i pamięciami masowymi Name in English: Information Storage and Management Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics And Control Level and form of studies: 2nd level, full-time Kind of subject: optional Subject code INEA213 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

30 30


60 90




classes 3


1 1


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. 2. 3. \

SUBJECT OBJECTIVES C1 Acqusition of knowledge, supported with theory, about methods, techniques, protocols and tools utilized in storage networking and information management C2 Acqusition of skills related to the design of storage networking solutions and information management

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 Knows storage architectures and key data center elements in classic, virtualized,

and cloud environments PEK_W02 Can explain physical and logical components of a storage infrastructure including

storage subsystems, RAID, and intelligent storage systems PEK_W03 Can name and describe storage networking technologies PEK_W04 Understand and articulate business continuity solutions—backup and replication,

and archive for managing fixed content PEK_W05 Can describe information security requirements and solutions, and identify

parameters for managing and monitoring storage infrastructure in classic, virtualized,

and cloud environments relating to skills: PEK_U01 Can design and configure simple networking storage solutions PEK_U02 Has ability to manage selected networking storage services PEK_U03 Can utilize mechanisms ensuring business continuity

PROGRAMME CONTENT


Lec 1 Introduction to information storage 2

Lec 2 Storage System Environment 2

Lec 3 Data Protection: RAID 2

Lec 4 Intelligent Storage Systems 2

Lec 5 Fibre Channel Storage Area Network (FC SAN) 2

Lec 6 IP SAN i FCoE 2

Lec 7 Network-Attached Storage (NAS) 2

Lec 8 Object-based and Unified Storage 2

Lec 9 Introduction to Business Continuity 2

Lec 10 Backup and Archive 2

Lec 11 Local Replication 2

Lec 12 Remote Replication 2

Lec 13 Cloud Computing 2

Lec 14 Securing the Storage Infrastructure 2

Lec 15 Managing the Storage Infrastructure 2

Total hours 30


Lab 1 Introduction to laboratory classes. Familiarization with laboratory equipment 2 Lab 2 Storage system – installation, authentication configuration 2 Lab 3 Storage system –NAS shares configuration 2 Lab 4 SAN configuration 4 Lab 5 Configuration of storage infrastructure elements 2 Lab 6 Configuration of selected business continuity mechanisms 4 Lab 7 Selection of storage solution elements for assigned requirements 6 Lab 8 Practical task – design and configuration of networked storage solution

for the give requirements. 8

Total hours 30

TEACHING TOOLS USED N1.Information lectures with use of multimedia presentations

N2. Problem solving lectures with use of multimedia presentations N3.Preparation of laboratory reports N4. Consultations N5. Individual work - preparation for laboratory classes N6. Individual work - individual study and preparation to pass the course




F1 PEK_W01 ÷ PEK_W05 Written tests F2 PEK_U01 ÷ PEK_U03 Laboratory reports F3 C = 0,4*F1 + 0,6*F2


PRIMARY LITERATURE: [1] Information Storage and Management – Storing, Managing, and Protecting Digital Information in

Classic, Virtualized, and Cloud Environments 2nd Edition, John Wiley & Sons, Inc. SECONDARY LITERATURE: [1] http://education.emc.com/academicalliance [2] Computerworld magazine

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Przemysław Ryba PhD., [email protected]


SUBJECT Information Storage and Management





applicable)**




PEK_W01 (knowledge) S2AIC_W10 C1 Lec 1-8, Lec 13

N1, N2, N4, N6

PEK_W02 S2AIC_W10 C1 Lec 1-8 N1, N2, N4, N6 PEK_W03 S2AIC_W10 C1 Lec 5-8 N1, N2, N4, N6 PEK_W04 S2AIC_W10 C1 Lec 9-12 N1, N2, N4, N6 PEK_W05 S2AIC_W10 C1 Lec 13-15 N1, N2, N4, N6

PEK_U01 (skills) S2AIC_U18 C2 Lab 1-8 N3, N4, N5 PEK_U02 S2AIC_ U18 C2 Lab 1-6 N3, N4, N5 PEK_U03 S2AIC_ U18 C2 Lab 5-8 N3, N4, N5


Zał. nr 4 do ZW 64/2012


Name in Polish Przemysłowe systemy sterowania Name in English Manufacturing control systems Main field of study (if applicable): Computer science Specialization (if applicable): Advanced Infromatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA214 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

30 15 15


60 45 45





X

Number of ECTS points 5 including number of ECTS points for

practical (P) classes - 1 2


1 2 1


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES

\

SUBJECT OBJECTIVES C1. To acquire essential knowledge in the area of integrated management systems used in modern manufacturing enterprises. C2. To know basic issues in production planning and management in various manufacturing systems. C3. To acquire skills in analysis, design and application of decision support methods for various operational aspects of modern manufacturing systems.

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 – has basic knowledge of integrated management systems and standards concerning management systems in various fields of manufacturing. PEK_W02 – knows essential dependencies and information in production schedule as well as techniques to create the schedule. PEK_W03 – knows structure and characteristics of the data needed to create material requirements plan and recognizes dependencies and information in material requirements planning.

PEK_W04 – knows basic information needed to create capacity requirements plan and recognizes essential information and dependencies in capacity requirements planning. PEK_W05 – knows basics of the master production schedule execution in the most popular types of the manufacturing systems as well as methods and tools used to scheduling and monitoring of the manufacturing tasks performance. PEK_W06 – knows issues concerning just-in-time and lean manufacturing. PEK_W07 – knows basics of the theory of constraints and optimized production technology in the most popular types of the manufacturing systems as well as theory of constraints thinking process. PEK_W08 – knows issues concerning decision support in virtual enterprises and supply chain management as well as electronic data interchange. relating to skills: PEK_U01 – has skills in design and application of the decision support methods in various

operational aspects of modern manufacturing enterprises. PEK_U02 – understands the concept and is able to implement and evaluate the efficiency of

the basic methods of material requirements planning. PEK_U03 – is able to implement and compare the efficiency of the selected methods of

capacity requirements planning. PEK_U04 – can find or design, implement and evaluate efficiency of the various production

planning methods. relating to social competences: PEK_K01 – recognizes the importance of information retrieval and critical analysis skills. PEK_K02 – understands the necessity of self-education and developing ability to apply own

knowledge and skills independently.

PROGRAMME CONTENT

Form of classes – lecture Number of hours

Lec 1 Introduction to manufacturing control systems. 2

Lec 2 Integrated management systems for manufacturing enterprises: history, features and standards.

2

Lec 3 Master production schedule and methods to create it. 4

Lec 4 Material requirements planning and capacity requirements planning . 4

Lec 5 Production activity control. 4

Lec 6 Just-in-time and lean manufacturing. 4

Lec 7 Theory of constraints and optimized production technology. 4

Lec 8 Supply chain management and virtual enterprises. 4

Lec 9 The final test. 2

Total hours 30

Form of classes – laboratory Number of hours

La1 Health and safety. Organizational matters. Introduction. 1

La2 Material requirements planning – methods and their analysis, implementation and efficiency.

4

La3 Capacity requirements planning for selected types of the manufacturing enterprises – analysis of the solution quality and comparison of costs.

4

La4 Creating a production plan for a selected types of the manufacturing enterprises and given forecast of the demand – implementation and comparison of the methods.

4

La5 Summary and evaluation. 2

Total hours 15

Form of classes – project Number of hours

Pr1 Organizational matters. Introduction. 1

Pr2 Learning about selected issues in management of manufacturing operations. 2

Pr3 Analysis and proposal of solutions for a selected problem in the field of manufacturing operations management.

5

Pr4 Analysis of the proposed solutions, their implementation and comparison of the efficiency. Describing the results in the report.

5

Pr5 Summary and evaluation of the report. 2

Total hours 15

TEACHING TOOLS USED N1. Traditional lecture with video projector. N2. Laboratory exercises project tasks. N3. Tutorials. N4. Own work – preparing for laboratory excercises and project tasks. N5. Own work – independent studies and preparing to the final test.



Educational effect numer


F1

PEK_U01 ÷ PEK_U04

PEK_K01 ÷ PEK_K02

Oral answers, Observation of the exercises, Reports from the exercises,

Evaluation of the laboratory and projects tasks performance


Written test

P = 0,5*F1 + 0,5*F2


PRIMARY LITERATURE: [1] Mateusz Gorczyca, Adam Janiak: Manufacturing Control Systems, Wrocław, 2011.

[2] J. Heizer and B. Render. Operations Management. Prentice Hall, 2010.

[3] Joseph S. Martinich. Production and Operations Management: an Applied Modern Approach. John Wiley & Sons Inc., 1997.

[4] R.S. Russell and B.W. Taylor III. Operations Management. Prentice Hall, Inc., Upper Saddle River New Jersey 07458, 2005.

SECONDARY LITERATURE: [1] Thomas H. Lee, Shoji Shiba, Robert Chapman Wood: Integrated Management Systems: A Practical Approach to Transforming Organizations, Wiley 1999.

[2] Wendy Currie, Bob Galliers., Rethinking Management Information Systems: An Interdisciplinary Perspective, Oxford University Press, 1999.

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Adam Janiak, 71 320 29 06; [email protected]


SUBJECT Manufacturing control systems



Subject educational

effect

Correlation between subject educational effect and educational effects defined for main field of study and specialization (if

applicable)**




PEK_W01 S2AIC_W11 C1 Lec1, Lec2, N1, N3, N5 PEK_W02 S2AIC_W11 C2 Lec3 N1, N3, N5 PEK_W03 S2AIC_W11 C2 Lec4 N1, N3, N5 PEK_W04 S2AIC_W11 C2 Lec4 N1, N3, N5 PEK_W05 S2AIC_W11 C2 Lec5 N1, N3, N5 PEK_W06 S2AIC_W11 C2 Lec6 N1, N3, N5 PEK_W07 S2AIC_W11 C2 Lec7 N1, N3, N5 PEK_W08 S2AIC_W11 C2 Lec8 N1, N3, N5 PEK_U01 S2AIC_U19 C3 Lec3÷÷÷÷Lec8

La2÷÷÷÷La4 Pr2÷÷÷÷Pr4

N1, N2, N3, N4

PEK_U02 S2AIC_U19 C3 Lec4, La2 Pr2÷÷÷÷Pr4

N1, N2, N3, N4


N1, N2, N3, N4


N1, N2, N3, N4

PEK_K01, PEK_K02

K1_K04 C1÷÷÷÷C3 Lec1÷÷÷÷Lec15 La1÷÷÷÷La5 Pr2÷÷÷÷Pr4

N1, N2, N3, N4, N5


Zał. nr 4 do ZW 64/2012


Name in Polish: Satelitarne systemy teleinformatyczne Name in English: Teleinformatics Satellite Systems Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: optional Subject code INEA215 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

30 15 15


90 30 30





X



- 2 1


1 2 1



SUBJECT OBJECTIVES C1 Knowledge and understanding of the satellite systems architecture C2 Acquisition of knowledge of system parameters and satellite networks C3 Acquisition of knowledge on methods of analysis and design of the satellite systems and networks C4 Acquiring the ability to set and configure the satellite receiving station C5 Learning how to transmit satellite signal in cable networks C6 Acquiring the ability of measurement and calculation of parameters of the satellite signal in the satellite and cable link C7 Acquiring the ability to find technical information C8 Learning how to elaborate technical information and prepare presentation

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 Student has detailed knowledge on developments in the problems of complex

systems in particular have knowledge of issues relating to satellite communication systems.

relating to skills: PEK_U01 Student has prepared to work in an industrial environment, in areas related to

information technology (automation, telecommunications), in particular is able to use modern methods and tools for the satellite communication (eg. communication protocols) and the administration of satellite networks.

PEK_U02 Student can make a preliminary economic analysis of action.

PROGRAMME CONTENT


Lec 1 Introduction, types and basic characteristics of the system 2

Lec 2 Satellite orbits 2

Lec 3 Geostationary orbit 2

Lec 4 Satellite link budget 2

Lec 5 The total link budget with regard to noise and interference 2

Lec 6 Interference in satellite communications 2

Lec 7 Communication protocols in satellite networks 2

Lec 8 Automatic Request Repeat methods (ARQ) and effectiveness 2

Lec 9 Transmission platforms, their pros and cons 2

Lec 10 Methods and protocols for multiple access to the resources of satellite transponder

2

Lec 11 Classification of satellite systems, VSAT systems and their characteristics 2

Lec 12 Low Bit Rate Data Communications (LBRDC) using Low Earth Orbiting (LEO) satellites

2

Lec 13 Satellite systems for voice communication 2

Lec 14 Broadband satellite multimedia (BSM) systems 2

Lec 15 Repertory 2

Total hours 30


Lab 1 Introduction to the course, establishing the rules for passing the course, health and safety training. Introduction to the analysis of noise and guide the decibel measure. Presentation of the measuring equipment available in the laboratory

3

Lab 2 Presentation of task packages. Elements of signal distribution circuit. 3

Lab 3 Setting the antenna azimuth-elevation pointing. Analysis of the link budget 3

Lab 4 The polar Mount antenna. Analysis of the polar mount system. Measurements and observation of satellite signals.

3

Lab 5 Measurements of the components of the satellite signal distribution system (CATV)

3

Total hours 15


Sem 1 Introduction to the seminar. Discussion about the plan and terms of credit. 1

Sem 2 Presentation of the seminar topics and information about available sources of information

1

Sem 3 Distribution of seminar topics, determining the valuation rules for the presentation and timing of presentation

1

Sem 4 Presentations of the topics, assessment of the presentation and discussion with students

12

Total hours 15

TEACHING TOOLS USED N1. Traditional lectures using multimedia presentations N2. Verification by the teacher of students' knowledge. Synthetic presentation of the tasks of the laboratory by the teacher. N3. Implementation of laboratory tasks (instructions) on a laboratory N4. Implementation of the task in the laboratory according to the written instruction N5. Synthetic presentation of each topic N6. Student presentation, discussion and evaluation of the presentation N7. An electronic version of the presentation N8. Consultation N9. Selfstudy





F1 PEK_W01 Activity during lectures, colloquium

F2 PEK_U01

Verification of written or oral knowledge of students in the ongoing exercise. Assessment of students laboratory reports. Discussion about the reports with the students.

F3 PEK_U02 Activity during seminar classes, evaluation of the seminar presentation prepared by the student

C P=0,5*F1+0,3*F2+0,2*F3


PRIMARY LITERATURE: [1] G. Maral, M. Bousquet,: „Satellite Communications Systems”, Wiley, 1993 and next issues SECONDARY LITERATURE:

[1] Ryszard J. Zieliński,: „Satelitarne sieci teleinformatyczne, WNT, Warszawa 2009 (in polish) [2] Zhili Zun,: „Satellite Networking”, Wiley, 2005. [3] D. Roddy,: „Satellite Communications”, McGrow-Hill, 2006.

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Ryszard J. Zieliński, [email protected]


Teleinformatics Satellite Systems AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY

Informatyka (Computer Science) AND SPECIALIZATION Advanced Informatics and Control







PEK_W01 (knowledge) S2AIC_W11 C1, C2, C3

Lec1-Lec14, Sem1-Sem4

N1, N5, N6, N7, N8, N9

PEK_U01 (skills) S2AIC_U19 C7, C8 Sem1-Sem4 N6-N9

PEK_U02 S2AIC_U19 C4, C5, C6 Lab1÷Lab5 N2, N3, N4, N9


Zał. nr 4 do ZW 64/2012


Name in Polish Sterowanie adaptacyjne i przemysłowe systemy sterowania

Name in English Adaptive Control and Industrial Control Systems Main field of study Informatics Specialization Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: optional Subject code INEA219 Group of courses YES


30 15 15


60 30 60






X


practical (P) classes - 1 2

including number of ECTS points for direct teacher-student contact (BK)

classes

1 2 1


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. To know the methods for description of dynamic control systems. 2. To be able to use appropriate programming environments. 3. To be able to read/work with literature/ information sources written in foreign language independently. \

SUBJECT OBJECTIVES C1. To built an extended knowledge regarding complex control systems and their development trends. C2. To gain an extended knowledge regarding industrial control systems. C3. To develop necessary skills to use programming tools for analysis and synthesis of complex control systems. C4. To develop necessary skills to make use of modern control methods (e.g. adaptive control) in order to ensure effectiveness of manufacturing control systems. C5. To be able to carry out a preliminary economical analysis regarding manufacturing control systems design. C6. To gain and consolidate social competences including an emotional intelligence which allows the students to work in groups in order to solve problems effectively.

SUBJECT EDUCATIONAL EFFECTS

relating to knowledge: PEK_W01 The student has an advanced knowledge regarding mathematical methods for analysis and

synthesis of manufacturing control systems which is necessary for solving problems in the field of informatics,

PEK_W02 has the knowledge regarding complex control systems, REK_W03 has detailed knowledge regarding development trends of manufacturing control systems.

relating to skills: PEK_U01 is prepared to work in the fields of industry which are related to informatics (control

engineering, telecommunication) PEK_U02 can use modern control methods (e.g. adaptive control) in order to ensure effectiveness of

manufacturing control systems, PEK_U03 can perform preliminary economical analysis of undertaken actions

relating to social competences: PEK_K01 can work in a group on complex project tasks and adhere to predefined/agreed

deadlines/timescale.

PROGRAMME CONTENT

Form of classes - lecture Number of

hours

Lec 1 Organisational matters: composition of the three forms of classes (lecture, laboratory, and project). Introduction to optimisation – problems review. Linear programming – graphical method with an example.

2

Lec 2 Linear programming – simplex method, example. 2

Lec 3 Nonlinear programming – Lagrange multipliers method, example. 3

Lec 4 Kuhn-Tucker method, example. 4

Lec 5 Numerical methods – introduction, review of direct-search/derivative-free and gradient-based methods.

4

Lec 6 Problem formulation of optimal control of a static system. Continuous-time dynamical control systems – state-space representation. Problem formulation of optimal control of a dynamic system – review.

3

Lec 7 Pontryagin's minimum principle – introduction for a simple example of a SISO system

6

Lec 8 Use of dynamic programming for optimal control of a continuous-time system – practical example.

3

Lec9 Use of dynamic programming for optimal control of a discrete-time system – practical example.

3

Total hours 30


Lab1 Organisational matters/issues. Example of a programme for an experimental investigation implemented in an appropriate programming environment. Programming of the golden section search and quadratic approximation methods and investigation of the properties of the above methods.

3

Lab2 Programming of the Hooke-Jeeves algorithm and investigation of its properties. 3

Lab3 Programming of the Rosenbrock algorithm and investigation of its properties. 3

Lab4 Programming of the steepest descent algorithm and investigation of its properties. 3

Lab5 Programming of the Newton algorithm and investigation of its properties. 3

Total hours 15

Form of classes - project Number of

hours

Proj1 Organisational issues; establishing project groups of 2-3 persons per group. Introduction of/ agreement on the project topics in the optimal control field with every project group.

3

Proj2 Presentation of a theoretical approach to the given problem and properties of the examined control algorithms.

3

Proj3 Realisation of project tasks according to an agreed timescale. Demonstration of the current state of the project.

6

Proj4 Presentation of working computer programmes implemented by project groups. 2

Proj5 Presentation of written reports. 1

Total hours 15

TEACHING TOOLS USED

N1. Lecture. N2. Multimedia presentation. N3.Programming in the laboratory. N4. Examination of properties of algorithms. N5. Written report containing the analysis of obtained results. N6. Programming tasks. N7. Consultations with lecturers. N8. Project presentation. N9. Self-study.


Evaluation(F – forming (during semester), P – concluding (at semester end)


F1 PEK_W01, PEK_W02 PEK_W03, PEK_W04

Student’s activity during the lecture, exam mark

F2 PEK_U01,PEK_U02, PEK_K01

Student’s activity during the laboratory, laboratory report mark

F3 PEK_U03,PEK_U04, PEK_K01

Mark achieved from project tasks, written report mark

P = F1*0.5+F2*0.25+F3*0.25


PRIMARY LITERATURE:

[1] Nise, Norman S. Control Systems Engineering 5th Edition,Pomona USA: John Wiley & Sons Ltd. , 2008

[2] Dutton, K. Thompson, S. and Barraclough, B., The Art of Control Engineering, 1st Edition,UK, Addison-Wesley, 1997

[3] Franklin, G.F. Powell, J.D. and Emami-Naeini, Feedback Control of Dynamic Systems, 23rd Edition : Upper Saddle River, NJ, Pearson Prentice Hall , 2006

[4] Kuo, B.C. and Golnaraghi, F. Automatic Control Systems. Hoboken, NJ, John Wiley & Sons. 2003

[5] Schwarzenbach, J. and Gill, K. F. System Modelling and Control. Edward Arnold.,1992

SECONDARY LITERATURE:

Literature recommended by the lecturer at the end of each lecture SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Prof. Keith J. Burnham, [email protected]


SUBJECT Adaptive Control and Industrial Control Systems

AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY Informatics AND SPECIALIZATION Advanced Informatics and Control

Subjecteducationaleffect Correlation between subject educational

effect and educational effects defined for main field of study

and specialization (if applicable)**

Subjectobjectives*** Programmecontent*** Teachingtoolnumber***

PEK_W01 S2AIC_W02 C1,C2 Lec1-Lec9 N1, N2, N7, N9

PEK_W02 S2AIC_W02 C1.1, C1.2, C1.3 Lec1-Lec5 N1, N2, N7, N9

PEK_W03 S2AIC_W02 C2.1, C2.2, C2.3 Lec6-Lec9 N1, N2, N7, N9

PEK_U01 S2AIC_U05 C3, C4 Lab1-Lab5 N3,N6, N8, N9

PEK_U02 S2AIC_U05 C3, C4 Lab1-Lab5 N4, N5, N8

PEK_U03 S2AIC_U14 C5 Proj1, Proj2,Proj3 N4,N5, N6,N8, N9

PEK_K01 K2INF_K04 C6 Lab1-Lab5, Proj1-Proj5 N4, N5, N6, N8, N9

** - enter symbols for main-field-of-study/specialization educational effects *** - from tableabove

Zał. nr 4 do ZW 64/2012


Name in Polish: Zaawansowane metody optymalizacji kombinatorycznej Name in English: Advanced Algorithms in Combinatorial Optimization Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA220 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

15 15


45 45




classes - 2


1 1


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. Have moderate skills on arbitrary modern high-level, object-oriented programming language

such as C++/C#/JAVA 2. Have basics skills on Spreadsheet computer programs \

SUBJECT OBJECTIVES C1 Gaining knowledge in the analysis of combinatorial problems (mainly in terms of their computational complexity). C2 Gaining knowledge and skills in the use of selected algorithms, such that the construction and selection of the appropriate type algorithm is related to a specific problem C3 Gaining knowledge and skills in the field of nature-inspired algorithmic methods to solve combinatorial problems. C4 Gaining skills of analysis, design and implementation of methods for decision support in various areas of the modern manufacturing enterprises.

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 – know the definition of polynomial and above-polynomial algorithms PEK_W02 – know basic classes of computational complexity of combinatorial problems (P,

NP, NP-complete, strongly NP-complete), the relations between classes, and the consequences and limitations related to problems in particular classes

PEK_W03 – know, and have ability to apply, selected nature-inspired algorithms (tabu search, simulated annealing, genetic search, ant-search).

relating to skills: PEK_U01 – is able to select the appropriate data structures and algorithms for problems to be

solved in order to achieve a certain (the best) efficiency PEK_U02 – can perform an experimental analysis of heuristic algorithms PEK_U03 – is able to implement and tune parameters of selected nature-inspired algorithms to

solve a specific combinatorial problem relating to social competences: PEK_K01 – recognizes the significance of search and the critical analysis of gained

information PEK_K02 – understands the need for self-education and the building of capacity for self-

knowledge and skills.

PROGRAMME CONTENT


Lec 1

Introduction: problems of combinatorial nature, the relationship between the optimization and decision problems, the concept of the problem instance and algorithm, the function of the computational complexity of the algorithm.

1

Lec 2 Combinatorial explosion. Polynomial and above-polynomial algorithms. Computational complexity classes of decision problems (P, NP, NP-complete, strongly NP-complete). Relations between NP-completeness and NP-hardness

2

Lec 3 Simulated annealing and related problems 2

Lec 4-5 Tabu search and related techniques 4

Lec 6 Ant search algorithms 2

Lec 7-8 Genetic search and Artificial Immune Systems 4

Total hours 15


Lab 1 Workplace training in health and safety. Organizational matters. Introduction.

1

Lab 2 Development, implementation and testing of simulated annealing algorithm for the selected combinatorial problem.

2

Lab 3-4 Development, implementation and testing of tabu search algorithm for the selected combinatorial problem.

4

Lab 5-6 Development, implementation and testing of genetic search algorithm for 4

the selected combinatorial problem. Lab 7-8 Development, implementation and testing of ant search or artificial

immune system algorithm for the selected combinatorial problem. 4

Total hours 15

TEACHING TOOLS USED N1. Traditional lectures using video projector N2. laboratory exercises N3. Consultation N4. Own work - preparation for laboratory N5. Own work - self-study and preparation for test





F1 PEK_U01 ÷ PEK_U03

PEK_K01 ÷ PEK_K02

Monitoring laboratory exercises, a written report of the exercises, evaluation of laboratory tasks


Writing test

C= 0,5*F1 + 0,5*F2


PRIMARY LITERATURE: [1] A.Janiak, M. Lichtenstein: Advanced Algorithms in Combinatorial Optimization, Wrocław, 2011.

[2] E.-G. Talbi. Metaheuristics. From design to implementation. John Wiley and Sons, 2009

[3] L.N. de Castro, Fundamentals of Natural Computing. Chapman & Hall, 2006

SECONDARY LITERATURE: [1] C. H. Papadmitriou. Computational Complexity. Addison Wesley, 1994

[2] C. Blum, D. Merkle, Swarm Intelligence: Introduction and Applications. Springer, 2008

[3] E. Aarts, J. Lenstra, Local search in Combinatorial Optimization. Wiley,1997

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Adam Janiak, [email protected]


SUBJECT Advanced Algorithms in Combinatorial Optimization





applicable)**




PEK_W01 S2AIC_W07 C1 Lec 1, Lec 2, N1, N3, N5

PEK_W02 S2AIC_W07 C2 Lec 1, Lec 2 N1, N3, N5

PEK_W03 S2AIC_W07, K2INF_W07 C3,C4 Lec 3- Lec 8 N1, N3, N5

PEK_U01 S2AIC_U13 C2 Lab 1÷Lab 2 N1, N2, N3, N4

PEK_U02, PEK_U03 S2AIC_U13 C3 Lab 3-Lab 8 N1, N2, N3, N4

PEK_K01, PEK_K02 K2INF_K04 C1÷C4 Lec 1÷ Lec 8

Lab 1÷Lab 8

N1, N2, N3, N4, N5


Zał. nr 4 do ZW 64/2012


Name in Polish: Modelowanie i identyfikacja Name in English Modelling and Identification Main field of study (if applicable): Computer science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA221 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU) 15 15

Number of hours of total student workload (CNPS) 30 60



For group of courses mark (X) final course X Number of ECTS points 3

including number of ECTS points for practical (P) classes - 2

including number of ECTS points for direct teacher-student contact (BK) classes 1 1


SUBJECT OBJECTIVES C1 This course is aimed to provide a gentle introduction to methods and approaches to constructing mathematical models of systems from observations and/or first principles. C2 It also aims to help students gain practical experience in applying computer tools for identification. C3 Practical aspects of identification

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 Understands classical representations of systems and signals used in control

engineering such as: input-output relation, transfer function and state equation. Understands the role of available information about a system in the process of model construction; role of computer tools; terms to characterize the model properties.

PEK_W02 Understands the approach to modeling with complete information about the process and knows some examples of mathematical descriptions of simple electrical and mechanical systems formulated from first principles and expert knowledge; theoretical analysis and computer simulation of a system with known description and its application in design of a controller.

PEK_W03 Understands the approach to create a model of a system in case of incomplete information about the process; parameter estimation and their properties; methods of estimation, in particular the least squares, maximum likelihood and Bayes methods; criteria of determining the quality of parameter estimation; the basic steps of system identification.

PEK_W04 Understands q-operator notation for parametric description of discrete dynamic

processes. Recognizes and names classical model structures of dynamic, discrete, linear, time-inariant systems. Understands parametric estimation in dynamic systems; prediction error and instrumental variables methods, nonparametric methods: transient response and correlation analysis.

PEK_W05 Understands how to examine model quality and compare competing models by means of quantitative criteria and statistical tests; the problem of choice of the model structure. Understands some methods of planning experiments, especially choice of excitation signals for identification.

PEK_W06 Understands some numerical aspects of identification algorithms; general framework of recursive identification methods, recursive least squares; identification of time-varying systems; Kalman filter.

PEK_W07 Acquires knowledge of selected applications of modeling in engineering, data analysis and artificial intelligence

relating to skills: PEK_U01 Can describe simple engineering systems by means of differential equations,

transform this background model to other forms, e.g. state equations, transfer function; deduce its fundamental properties;

PEK_U02 Can use the models as inputs to computer tools in order to examine and analyze their behavior by computer simulation in Matlab and Simulink.

PEK_U03 Can apply linear regression method to explain patterns in data; least squares method to estimate parameters in the model linear in parameters; carry out experiment to infer a static characteristic of a system; experiment in various estimation methods and examine their performance.

PEK_U04 Can apply the least squares method in identification of a dynamic system described by various model structures; practically use the tools available in Matlab to solve the problems of parametric identification of linear, time-invariant systems, testing its quality and choice of the model structure with the best fit to the data.

PEK_U05 Can plan experiment of data acquisition for the purpose of identification, especially choose appropriate excitation signals; make choices of another user options, e.g. estimation algorithm, a method of preprocessing of experimental data, the model structure and the criterion of fit and validation.

PEK_U06 Can implement the recursive least squares identification procedure; use appropriate tools available in Matlab for different model structures; examine experimentally the performance of sequential estimation procedures.

PEK_U07 Can apply suitable modeling techniques to example engineering problems.

PROGRAMME CONTENT

Form of classes - lecture Number of

hours

Lec 1 Outline of the lecture. Signals, systems and their classification. Models in an analysis and simulation of systems. Approaches to model construction dependent on the available information. General models in control engineering.

2

Lec 2 Principles of modeling with complete information about the system. Modeling of physical processes from first principles. Qualitative and quantitative analysis of systems and computer simulation. Synthesis of a feedback control system for an example physical process.

2

Lec 3 Statistical background of system identification. Methods of parametric estimation and their properties. The least squares method, its interpretation and properties. Linear regression in identification of static systems. Analysis

3

of experimental data.

Lec 4 General descriptions of dynamic, discrete, linear, time-invariant systems: basic terms and definitions. Operator notation for discrete systems. Parameter estimation in dynamic systems. The white noise and modeling of disturbances. Excitation signals used for identification of dynamic systems.

2

Lec 5 Nonparametric identification: transient response analysis, correlation method, frequency domain methods. The choice of model structure and model validation. Experiment planning for system identification and data preprocessing.

2

Lec 6 Numerical aspects of identification algorithms. Recursive identification adaptation and learning. Identification of time-varying systems. Recursive least squares. The Kalman filter.

2

Lec 7 Practical engineering applications of modeling and identification. 2

Total hours 15

Form of classes – laboratory Number of hours

Lab 1 Time-domain analysis of a simple mechanical systems, eg. mass-spring-dumper system. Computer simulation in Matlab and Simulink of the open-loop and feedback systems.

2

Lab 2 Modeling of an electro-mechanical system with a DC motor. Design of a classical controller to meet the given performance specifications. Theoretical and experimental verification of system’s behavior.

2

Lab 3 Linear regression model for data analysis. The least squares method for a static system based on real measurements.

2

Lab 4 Experiments with various parameter estimation methods based on real measurements. Simplified analysis of the estimators. Verifying the stochastic behavior of the estimators.

3

Lab 5 Time-domain simulation and identification of various model structures of dynamic systems. Gaining experience in using Matlab tools facilitating estimation of parameters and model validation.

2

Lab 6 The recursive least squares method and the Kalman filter. Adaptation and learning.

4

Total hours 15

TEACHING TOOLS USED N1. Lecture notes and handouts provided by the instructor N2. Homeworks: paper-and-pencil exercises illustrating the discussed concepts N3. Technical computing tools: Matlab and Simulink



F1 PEK_W01 ÷ PEK_W7 Homeworks and the final test F2 PEK_U01 ÷ PEK_U7 Lab exercises and classworks C = F1 + F2


PRIMARY LITERATURE: [1] Cichosz J., An Introduction to System Identification, WUT, 2011 [2] Ljung L., Glad T., Modeling of Dynamic Systems, Prentice Hall, 1994 [3] Ljung L., System Identification Toolbox. Getting Started Guide, The MathWorks, Inc [4] Ljung L., System Identification Toolbox. Users Guide, The MathWorks, Inc.

SECONDARY LITERATURE:

[1] Ǻstrom K.J., Wittenmark B., Computer Controlled Systems, [2] Ǻstrom K.J., Wittenmark B., Adaptive Control, Addison-Wesley, 1989 [3] Stoica P, Söderström T., System Identification, Prentice Hall.

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Jacek Cichosz, [email protected]


SUBJECT MODELING AND IDENTIFICATION

AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY COMPUTER SCIENCE

AND SPECIALIZATION ADVANCED INFORMATICS AND CONTROL



applicable)**




PEK_W01 (knowledge) S2AIC_W05 C1 LEC 1, LAB 1 N1, N2 PEK_W02 S2AIC_W05 C1, C3 LEC 2, LAB 2 N1, N2 PEK_W03 S2AIC_W05 C1, C2 LEC 3, LAB 3, 5 N1, N2 PEK_W04 S2AIC_W05 C1, C2 LEC 4, LAB 3,4 N1, N2 PEK_W05 S2AIC_W05 C1 LEC 5, LAB 4, 5 N1 PEK_W06 S2AIC_W05 C1, C2 LEC 6, LAB 5, 6 N1, N3 PEK_W07 S2AIC_W05 C1, C2 LEC 7, LAB 6 N1, N3

PEK_U01 (skills) S2AIC_U10 C2 LAB 1, 2 N2

PEK_U02 S2AIC_U10 C2 LAB 1, 2 N3 PEK_U03 S2AIC_U10, S2AIC_U11 C2 LAB 3 N1, N3 PEK_U04 S2AIC_U11 C2 LAB 3, 4 N1, N3 PEK_U05 S2AIC_U11 C2 LAB 5 N1, N3 PEK_U06 S2AIC_U11 C2, C3 LAB 6 N1, N3 PEK_U07 S2AIC_U10, S2AIC_U11 C2, C3 LAB 6, 7 N3


Zał. nr 4 do ZW 64/2012


Name in Polish: Komputerowe systemy sterowania Name in English: Computer Control Systems Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code: INEA222 Group of courses : YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

15 15


30 60



For group of courses mark (X) final course X



- 2


1 1


PREREQUISITES RELATING TO KNOWLEDGE, SKILLS AND OTH ER COMPETENCES 1. To know the methods for description of dynamic control systems. 2. To be able to use appropriate programming environments. 3. To be able to read/work with literature/ information sources written in foreign language

independently. \

SUBJECT OBJECTIVES C1. To gain an extended knowledge regarding methods and properties of dynamic linear control

systems as well continuous as discrete. C2. To gain an extended knowledge regarding continuous control systems design. C3. To gain an extended knowledge regarding discrete control of the continuous object. C4. To gain an extended knowledge regarding adaptive control. C5. To develop necessary skills to use software tools (Matlab and Simulink) to the analysis and

synthesis of control systems especially with PID regulator and Smith predicator. C6. To gain and consolidate social competences in objective arguments evaluation, rational explanation

of own point of view using the knowledge abort the computer control systems.

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 the student has an extended/advanced knowledge regarding IT application in automation and

knows requirements for problem-oriented IT systems and knows methodology of such IT systems design,

PEK_W02 the student has an extended/advanced knowledge regarding the methods of dynamic linear continuous and discrete description and knows their properties,

PEK_W03 the student has an extended/advanced knowledge regarding discrete control systems design for continuous objects,

PEK_W04 the student has an extended/advanced knowledge regarding control systems design for with PID regulator and Smith’s predicator,

PEK_W05 the student has an extended/advanced knowledge regarding adaptive control. relating to skills: PEK_U01 student is able to apply analytical methods to description and investigations of dynamic

control systems as well continuous as discrete, PEK_U02 student can present the results of analysis of simulation investigations for given control

system using proper software tool (Matlab, Simulink). relating to social competences: PEK_K01 student owns the competence in objective arguments evaluation, rational explanation of own

point of view using the knowledge abort the computer control systems.

PROGRAMME CONTENT


Lec 1 Organizational problems: composition two form of studies. Introduction to computer control systems – review of the problems. Description and properties of linear continuous control objects. Linear continuous control systems with PID regulator.

3

Lec 2 Description and properties of linear discrete control objects. Linear discrete control systems with PID regulator and systems with discrete Smith’s predicator.

3

Lec 3 Modeling of properties of discrete dynamic objects. 3

Lec 4 The idea of adaptive control. Control systems with predicators.

3

Lec 5 Continuous object controlled in the discrete way. 3

Total hours 15


Lab 1 Organisational problems. Presentation of exemplary program for experimental investigations using proper software tool (Matlab, Simulink). The simulation investigations of linear, continuous dynamic control systems with PID regulator and Smith’s predicator.

3

Lab 2 The simulation investigations of linear, discrete dynamic control systems with PID regulator and Smith’s predicator.

3

Lab 3 The simulation investigations of systems for continuous objects which are controlled using discrete regulator.

3

Lab 4 Modeling of properties of discrete dynamic objects. 3

Lab 5 The simulation investigations of adaptive control systems. 3

Total hours 15

TEACHING TOOLS USED N1. Lecture N2. Multimedia presentation N3. Software laboratory task N4. Simulation investigations of dynamic control systems N5. Report with the analysis of research results N6. Consultation N7. Self-study




F1 PEK_W01,PEK_W02, PEK_W03,PEK_W04, PEK_W05

activity during lectures, final note of written final work

F2 PEK_U01, PEK_U02, PEK_K01 activity during laboratory, final note of written report describing realized exercises

P = F1*0.6+F2*0.4


PRIMARY LITERATURE: [1] Nise, Norman S. Control Systems Engineering 5th Edition,Pomona USA: John Wiley & Sons

Ltd. , 2008 [2] Dutton, K. Thompson, S. and Barraclough, B., The Art of Control Engineering, 1st Edition,UK,

Addison-Wesley, 1997 [3] Franklin, G.F. Powell, J.D. and Emami-Naeini, “Feedback Control of Dynamic Systems, 23rd

Edition : Upper Saddle River, NJ, Pearson Prentice Hall , 2006 [4] Kuo, B.C. and Golnaraghi, F. Automatic Control Systems. Hoboken, NJ, John Wiley & Sons.

2003 [5] Schwarzenbach, J. and Gill, K. F. System Modelling and Control. Edward Arnold.,1992

SECONDARY LITERATURE: Proposed by the teacher after each lecture SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Keith Burnham, mailto: [email protected]

Andrzej Żołnierek, [email protected]

MATRIX OF CORRELATION BETWEEN EDUCATIONAL EFFECTS FOR SUBJECT:

Computer Control Systems AND EDUCATIONAL EFFECTS FOR MAIN FIELD OF STUDY:

Computer Science AND SPECIALIZATION:

Advanced Informatics and Control



applicable)**




PEK_W01(knowledge) S2AIC_W04 C1, C2, C3 Lec 1-Lec 3 N1, N2, N6

PEK_W02 S2AIC_W04 C1, C2, C3,C4 Lec 1-Lec 3, N1-N7

PEK_W03 S2AIC_W04 C1, C2, C3 Lec 1-Lec 2 N1-N6

PEK_W04 K2INF_W07 C1, C2 Lec 1-Lec 5 N1, N2, N4,N6

PEK_W05 S2AIC_W04 C4 Lec 4 N1, N2

PEK_U01(skills) S2AIC_U08 C5 Lab 1-Lab 5 N3-N6

PEK_U02 S2AIC_U09 C5 Lab 1-Lab 2 N3-N6

PEK_K01(competences) K2INF_K04 C6 Lab 1-Lab 5 N3, N5, N6


Zał. nr 4 do ZW 64/2012


Name in Polish: Metody inteligencji obliczeniowej i podejmowania decyzji Name in English: Methods of Computational Intelligence and Decision Making Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA223 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

15 15 15 15


30 30 45 15

Form of crediting Examination crediting with grade




X


practical (P) classes 1 1,5


0,5 1 1,5 0,5



SUBJECT OBJECTIVES C1 Knowledge and practical skill acquisition on the basic methods of the machine learning system

design.

C2 Introduction into experimental methods of machine learning algorithm evaluation and acquisition of the practical skills of computer experiment design and carried out in the chosen software environment.

C3. Knowledge and practical skills acquisition on the basic data mining and machine learning methods.

C4 Practical skill acquisition on choosing appropriate computational intelligence method for solving real decision problem.

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 Student has knowledge on classification and clustering.

PEK_W02 Student has knowledge on methods of experimental classifier evaluation.

PEK_W03 Students knows basic methods of inductive learning.

PEK_W04 Student knows methods of uncertainty representation.

PEK_W05 Student knows basic neural computation algorithms.

PEK_W06 Student knows stages of intelligent system design and s/he understands their role.

relating to skills: PEK_U01 Student can design elements of computer system which use intelligent methods.

PEK_U02 Student can design experiment and carry out the experiment to evaluate quality of machine learning algorithm

PEK_U03 Student can choose appropriate computational intelligence method for a real decision problem.

PEK_U04 Student can evaluate scientific and technical solutions presented by other persons.

relating to social competences: PEK_K01 Student is awakes to necessity of using intelligent and statistical methods to analyse big and

changing data.

PROGRAMME CONTENT


Lec 1 Introduction, histological background, basic terms 1

Lec 2 Pattern recognition task, parametric and nonparametric methods of probability density function estimation

2

Lec 3 Experiment design for classifier quality evaluation 2

Lec 4 Inductive learning task 1

Lec 5 Direct and indirect rule induction methods: decision tree and sequential covering

2

Lec 6 Neural nets 2

Lec 7 Introduction into fuzzy systems and fuzzy reasoning 2

Lec 8 Multiple classifier systems and methods of weak classifier stabilizing and improving

2

Lec 9 Chosen problems of data stream classification 1

Total hours 15


Lab 1 Introduction, laboratory organizations, rules 1

Lab 2 Introduction into Matlab programming and PRTools toolbox 2

Lab 3 Methods of classifier training in PRTools environment 2

Lab 4 Methods of visualization in PRTools 2

Lab 5 Basic preprocessing methods in PRTools 2

Lab 6 Methods of compound classifier design using PRTools 2

Lab 7 Methods of classifier evaluation using PRTools 2

Lab 8 Designing and implementing simple project devoted classification task for a benchmark dataset using Matlab and PRTools

2

Total hours 15


Proj 1 Introduction, schedule and rules of the project. Presentation of chosen projects

1

Proj 2 Choosing the title and range of project 2

Proj 3 Literature review on chosen intelligent methods and plan of experiment 6

Proj 4 Final report which includes experimental results and conclusions 6

Total hours 15

Form of classes – seminar Number of hours

Sem 1 Introduction, schedule and rules of the seminar, presentation of the recommended literature

1

Sem 2 Student’s presentation devoted chosen issues of machine learning, heuristic optimization, kernel method for classification, hybrid intelligent systems, analysis of the methods and computer tools. Discussion.

10

Sem 3 Presentations summarizing the students project with the special emphasing on the own approach. Discussion.

4

Total hours 15

TEACHING TOOLS USED N1. Lecture with the multimedia presentation

N2. Lecture devoted to a problem

N3. Laboratory hours

N4. Consultation

N5. Discussion of a given problem

N6. Self-learning – preparing projects, reports, to lecture or lab.

N7 Multimedia presentation




F1 PEK_W01-PEK_W06, PEK_U01-PEK_U02

PEK_K01

Exam (test or oral).

F2 PEK_U01-PEK_U03

PEK_K01

Evaluation of each laboratory meeting, laboratory report, discussion on the chosen task related to laboratory.

F3 PEK_U02-PEK_U03

PEK_K01

Evaluation of the project milestones and final report, discussion on project.

F4 PEK_01 Form and quality of presentation, activity during discussion, attendance

C =0,25 F1 +0,25 F2 +0,25 F3+0,25 F4


PRIMARY LITERATURE: [1] E. Alpaydin, “Introduction to Machine Learning”, Second Edition, The MIT Press, London,

2010. [2] Ch.M. Bishop, “Pattern Recognition and Machine Learning”, Springer, 2006. [3] T.M. Mitchell, „Machine learning”, McGraw-Hill, 1997 SECONDARY LITERATURE: [1] M. Negnevitsky, „Artifficial Intelligence. A guide to Intelligent Systems”, Addison-Wesley,

2002. [2] J.R.Quinlan, C4.5 Program for Machine Learning, Morgan-Kaufmann Pub., 1993. [3] L.I. Kuncheva,C ombining Pattern Classifiers: Methods and Algorithms, Wiley, 2004. [4] Research papers from the following journals: Information Science, Information Fusion, Pattern

Recognition, Pattern Recognition Letters, KAIS, IEEE Trans. on NN&LS, PAMI, SMC SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Michał Woźniak, PhD, DSc, [email protected]


SUBJECT Methods of Computational Intelligence and Decision Making



Subject educational effect

Correlation between subject educational effect and educational


applicable)**




PEK_W01 K2INF_W09, S2AIC_W03 C1, C4 Lec1, Lec 2,

Lec 6-Lec 9 N1-N2, N3-N6

PEK_W02 K2INF_W08, K2INF_W09,

S2AIC_W03 C2, C4

Lec 1, Lec 2, Lec 3

N1-N2, N3-N6

PEK_W03 K2INF_09 S2AIC_W03 C1, C3, C4 Lec 4,Lec 5 N1-N2, N3-N6

PEK_W04 K2INF_W09, S2AIC_W03 C1, C3, C4 Lec 2, Lec 7 N1-N2, N3-N6

PEK_W05 K2INF_W09, S2AIC_W03 C1, C4 Lec 6 N1-N2, N3-N6

PEK_W06 K2INF_W07, S2AIC_W03 C1-C4 Lec 1, Lec 2, Lec 3, Lec 9

N1-N2, N3-N6

PEK_U01 S2AIC_U06, S2AIC_W03 C1 Lab 1-Lab 7 N3-N6

PEK_U02 S2AIC_U07 C2 Lab 8, Proj 1-

Proj 4 N3-N6

PEK_U03 S2AIC_U06, S2AIC_U07 C4 Proj1-Proj3,

Lab 8 N3-N6

PEK_U04 S2AIC_U04 C1, C3,C4 Sem 1,Sem 2 N4-N7


Zał. nr 4 do ZW 64/2012


Name in Polish Seminarium Zaawansowanych Systemów Informatycznych i Sterowania 1 Name in English: Advanced Informatics and Control Seminar 1 Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA224 Group of courses: NO


30


60



2


1



SUBJECT OBJECTIVES C1 Learn how to search selective knowledge needed to create their own original solutions. C2 Learn how to prepare a presentation for showing own original ideas, concepts and solutions in a comprehensible way. C3 The acquisition of the skill of creative discussion allowing in a factual and substantive way justified and defended own opinions C4 Learn how to prepare the presentation illustrating own achievements

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 Acquisition of knowledge about the current state of development in the field of

computer science, informatics systems and control systems relating to skills: PEK_U01 Ability to critical evaluation of scientific and technical solutions of other persons PEK_U02 Ability to discuss objectively and justify original ideas and solutions given by others PEK_U03 Ability to prepare a presentation that contains own research plan based on analysis

of the related works in literature


Sem 1

Discussion of the topic of the seminar and recommended literature positions 2

Sem 2

Individual presentations based on the current state of knowledge related to the specialization’s area of interest, classification problems, including analysis of methods and used tools and techniques, examination of the problem

6

Sem 3

Presentation of selected aspects of research methodology based on the recommended literature positions, exchange of views in a tutor group

6

Sem 4

Discussion in a tutor group on the state of literature based knowledge and established the concept of individual solutions to the own research problems

6

Sem 5

Presentations summarizing the status of implementation of selected topics and objectives of the diploma thesis outlining original approach. Discussion in a tutor group, presentation of written version of the work

10

Total hours 30

TEACHING TOOLS USED N1. Multimedia presentation N2. Discussion - talk problematic N3. Literature studies N4. Develop a written documents N5. Own work



F1 PEK_W01, PEK_U01, PEK_U02

Rate of presentation, the activity in the discussion, the timetable

F2 PEK_W01, PEK_U03 Evaluation of the quality of the final presentation, written version of the work

C = 0.4*F1+0.6*F2

(F – forming (during semester), C– concluding (at semester end)


PRIMARY LITERATURE: [1] D. Remenyi, A. Money, „Research Supervision for Supervisors and their Students”, API, 2012 [2] J. Apanowicz, „Zarys metodologii prac dyplomowych…”, 1997 /in Polish/ [3] M. Korzyński, „Metodyka eksperymentu”, WNT, 2006 /in Polish/ [4] D.C. Montgomery, „Design and Analysis of Experiments”, 2012 [5] R. Tadeusiewicz, „Drogi i bezdroża statystyki w badaniach naukowych”, 2002 /in Polish/ [6] A. Dennis, B. H. Wixam , “System Analysis, Design, John Wiley & Sons”, 2003 [7] G.J. Cobb, “Introduction to Design and Analysis of Experiments”, 1998 [8] References recommended by the teacher - literature related to the problems of the

chosen research area

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Dr in ż. Iwona Poźniak-Koszałka, [email protected]


SUBJECT Advanced Informatics and Control Seminar 1





applicable)**




PEK_W01 (knowledge) K2INF_W04 C1

Sem1, Sem2, Sem3

N1, N2, N3, N5

PEK_U01 (skills) S2AIC_U21 C2 Sem2, Sem4 N1, N2

PEK_U02 S2AIC_U21 C3 Sem4, Sem5 N2, N3

PEK_U02 S2AIC_U21 C4 Sem5 N1, N2, N4


Zał. nr 4 do ZW 64/2012

FACULTY: ELECTRONICS SUBJECT CARD

Name in Polish: Seminarium specjalnościowe 2 Name in English: Advanced Informatics and Control Seminar 2 Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA225 Group of courses NO Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

30


150



4


2



SUBJECT OBJECTIVES C1 Learn how to search for selective knowledge needed to create their own original solutions. C2 Learn how to prepare a presentation allowing students in communicative way transfer their original ideas, concepts and solutions C3 The acquisition of the skill of creative discussion allowing in a factual and substantive way justified and defended own opinions C4 Gain of the writing skills for presenting student’s own achievements, including a presentation of his/her own achievements against the development of the global mean

SUBJECT EDUCATIONAL EFFECTS relating to knowledge: PEK_W01 has knowledge about the current state of development and new trends in the field of

computer science PEK_W02 has knowledge of the principles of preparing and presenting the work (in writing

form) containing their own scientific and technical solutions

relating to skills: PEK_U01 is able to critically evaluate the scientific and technical others solutions PEK_U02 is able to discuss objectively and justify his/her original ideas and solutions PEK_U03 is able to prepare a presentation that contains own scheme of research based on

references


Sem 1

Discussion of the principles of preparing and writing a thesis, and in particular presentation the principles of editorial side of the final project

2

Sem 2

Individual presentations related to the problem of the diploma thesis, pointed on the original own contribution in comparison to the achievements known in literature (The first series of presentations)

8

Sem 3

Public discussion on the state of literature and established the idea of solving problems posed to compose the diploma thesis

6

Sem 4

Individual presentations summarizing the results obtained in the final projects, in particular showing the selected topics and objectives of the diploma thesis outlining the original approach proposed by their authors (The second series of presentations)

14

Total hours 30

TEACHING TOOLS USED N1. Multimedia presentation N2. Discussion - talk problematic N3. Literature studies N4. Develop a written report N5. Own work



F1 PEK_W01, PEK_U01, PEK_U02

Rate of the first presentation, the activity in the discussion, the timetable,

F2 PEK_W01, PEK_U03 Rate of the second presentation, quality assessment of results obtained in the final project

C= 0.4*F1+0.6*F2



PRIMARY LITERATURE: [1] Literature related to the issues of the diploma thesis

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Andrzej.Kasprzak, [email protected]


SUBJECT Advanced Informatics and Control Seminar 2





applicable)**




PEK_W01 (knowledge) K2INF_W09 C1

Sem1, Sem2, Sem3

N1, N2, N3, N5

PEK_U01 (skills) K2INF_U05 C2 Sem2, Sem4 N1, N2

PEK_U02 K2INF_U05, S2AIC_U04 C3 Sem4, Sem5 N2, N3

PEK_U03 K2INF_U05, S2AIC_U04 C4 Sem5 N1, N2, N4


Zał. nr 4 do ZW 64/2012

FACULTY: ELECTRONICS SUBJECT CARD

Name in Polish Badania naukowe, metody, zasady, realizacja 3 Name in English Research Skills and Methodologies 3 Main field of study (if applicable): Computer Science Specialization (if applicable): Advanced Informatics and Control Level and form of studies: 2nd level, full-time Kind of subject: obligatory Subject code INEA226 Group of courses YES Lecture Classes Laboratory Project Seminar Number of hours of organized classes in University (ZZU)

15 15


75 75



3 2


2 1



SUBJECT OBJECTIVES C1 Acquiring the ability to prepare and submit a paper to the scientific conference C2 Gaining experience in the organization of the scientific conference and performing variety of roles in the conference program committee and conference organizing committee

SUBJECT EDUCATIONAL EFFECTS relating to skills: PEK_U01 is able to prepare a scientific paper PEK_U02 is able to have a talk (presentation) at a scientific conference and actively participate

in the discussions PEK_U03 is able to develop program and organizational scenarios of scientific conferences relating to social competences: PEK_K01 is able to work in a team as a program committee or organizing committee member

PROGRAMME CONTENT


Proj 1

Familiarizing with the selected international scientific conferences in the area of computer science. Overview of project tasks

2

Proj 2

The process of programming scientific conference, the role of the program committees, scheduling arrangements, organization of scientific sessions, invited lectures, procedure of preparing papers, process of reviewing, qualification and acceptance of papers, the role of chairman of scientific sessions

2

Proj 3

The process of organizing the conference, parallel sessions, opening, plenary sessions, working sessions, how to select the best papers, the role of social meetings, working groups, accommodation of participants

2

Proj 4

Publishing process, setting the editorial requirements, preparation of conference materials, scheduling, evaluation of organizational costs

2

Proj 5

Preparing conference scenario at the chosen problem area encompassing all elements – in the written form

4

Proj 6

Presenting scenarios for the group. Analysis of advantages and disadvantages. Evaluations studies

3

Total hours 15

Form of classes - seminar Nr of hours Sem 1

Introductory presentations of papers in the field developed during the courses RSM-1 and RSM-2

4

Sem 2

Preparation of AIC scientific conference for AIC students – program should include the papers of all AIC students

2

Sem 3

Conducting scientific AIC conference. Scientific sessions chaired by the students. Presentations papers by the students. All activities along with the prepared conference scenario.

8

Sem 4

Choosing the best presentation. Assessment of the conference. Summarizing the series of RSM courses.

1

Total hours 15

TEACHING TOOLS USED N1. Multimedia presentation N2.Discussion N3.Task Design N4. Written report N5. Consultation N6. Own work


Evaluation Educational effect number


F1 PEK_U01, PEK_U03

Quality assessment of the implementation of the project tasks, evaluation of the conference scenarios

F2 PEK_U01, PEK_U02, PEK_K01

Rating presentations of the AIC conference papers, assessment of the contribution into organization of the conference

C = 0.5*F1 + 0.5*F2



PRIMARY LITERATURE: [1] Proceedings of international scientific conferences in the area of computer science [2] Series: Computer Systems Engineering. Theory and Applications, Proceedings of the Polish British

Workshop (4th, 5th, 6/7th, 8/9th) WUT Publishing House, 2005, 2007, 2009, 2011 SECONDARY LITERATURE: [1] Internet resources on student academic conferences

SUBJECT SUPERVISOR (NAME AND SURNAME, E-MAIL ADDRES S) Dr in ż. Leszek Koszałka, [email protected]











PEK_U01 (skills) S2AIC_U21 C1 Sem1, Sem2 N5, N6

PEK_U02 S2AIC_U21 C1 Sem3, Sem4 N1 PEK_U03 S2AIC_U21, S2AIC_K03 C2 Proj1-Proj6 N1, N2, N4

PEK_K01 (competences) S2AIC_K03 C2 Proj5, Sem2,Sem3

N2, N3


zał. nr 4 do zw 64/2012 department of humanities...

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