approved sequence for computer science and software ... · enrolment in the computer science and...

Ap

pro

ved

seq

uen

ce f

or

Co

mp

ute

r Sc

ien

ce a

nd

So

ftw

are

Engi

nee

rin

g

Ho

no

urs

se

qu

ence

:

TRIM

:F3

14

08

ID:

70

1

Lvl

Typ

eC

od

eTi

tle

Pre

req

uis

ite

Co

req

uis

ite

Inco

mp

atib

iliti

es

TRIM

Cat

AC

atB

Take

co

re u

nit

s at

Lev

el 4

:

4C

ore

CIT

S40

01

Co

mp

ute

r Sc

ien

ce a

nd

So

ftw

are

Engi

nee

rin

g R

esea

rch

Pro

ject

Par

t 1

Co

mp

leti

on

of

an u

nd

ergr

adu

ate

maj

or

in C

om

pu

ter

Scie

nce

or

Ap

plie

d C

om

pu

tin

g, o

r eq

uiv

alen

t p

rep

arat

ion

.En

rolm

ent

in t

he

Co

mp

ute

r Sc

ien

ce

and

So

ftw

are

Engi

nee

rin

g h

on

ou

rs

pro

gram

me.

Nil.

F35

28

2

4C

ore

CIT

S40

02

Co

mp

ute

r Sc

ien

ce a

nd

So

ftw

are

Engi

nee

rin

g R

esea

rch

Pro

ject

Par

t 2

Co

mp

leti

on

of

an u

nd

ergr

adu

ate

maj

or

in C

om

pu

ter

Scie

nce

or

Ap

plie

d C

om

pu

tin

g, o

r eq

uiv

alen

t p

rep

arat

ion

.En

rolm

ent

in t

he

Co

mp

ute

r Sc

ien

ce

and

So

ftw

are

Engi

nee

rin

g h

on

ou

rs

pro

gram

me.

Nil.

F35

28

3

4C

ore

CIT

S40

08

Scie

nti

fic

Co

mm

un

icat

ion

Nil.

A r

esea

rch

pro

ject

un

it in

Co

mp

ute

r Sc

ien

ce, E

ngi

nee

rin

g o

r al

lied

sc

ien

ces

Nil.

F31

57

2

Take

4 o

pti

on

s at

Lev

el 4

fro

m t

his

gro

up

(A

):

4O

pti

on

(A

)C

ITS4

00

3A

rtif

ical

Inte

llige

nce

an

d A

dap

tive

Sy

stem

s

Co

mp

leti

on

of

an u

nd

ergr

adu

ate

maj

or

in C

om

pu

ter

Scie

nce

or

Ap

plie

d C

om

pu

tin

g, o

r eq

uiv

alen

t p

rep

arat

ion

.N

il.N

il.F3

15

73

4O

pti

on

(A

)C

ITS4

00

4C

om

pu

tati

on

al M

od

ellin

gC

om

ple

tio

n o

f an

un

der

grad

uat

e m

ajo

r in

Co

mp

ute

r Sc

ien

ce o

r A

pp

lied

Co

mp

uti

ng,

or

equ

ival

ent

pre

par

atio

n.

Nil.

Nil.

F31

57

4

4O

pti

on

(A

)C

ITS4

00

5M

ob

ile a

nd

Wir

eles

s C

om

pu

tin

gC

om

ple

tio

n o

f an

un

der

grad

uat

e m

ajo

r in

Co

mp

ute

r Sc

ien

ce o

r A

pp

lied

Co

mp

uti

ng,

or

equ

ival

ent

pre

par

atio

n.

Nil.

CIT

S72

19

Mo

bile

an

d W

irel

ess

Co

mp

uti

ng

F31

57

5

4O

pti

on

(A

)C

ITS4

00

6C

om

pu

ter

Vis

ion

Co

mp

leti

on

of

an u

nd

ergr

adu

ate

maj

or

in C

om

pu

ter

Scie

nce

or

Ap

plie

d C

om

pu

tin

g, o

r eq

uiv

alen

t p

rep

arat

ion

.N

il.N

il.F3

15

76

4O

pti

on

(A

)C

ITS4

00

7R

esea

rch

To

pic

s in

So

ftw

are

Engi

nee

rin

gC

om

ple

tio

n o

f an

un

der

grad

uat

e m

ajo

r in

Co

mp

ute

r Sc

ien

ce o

r A

pp

lied

Co

mp

uti

ng,

or

equ

ival

ent

pre

par

atio

n.

Nil.

Nil.

F31

57

7

Cu

rren

t as

at

Mo

nd

ay, 2

8 M

ay 2

01

2P

age

1 o

f 1

Attachment T1

Pro

po

sed

new

seq

uen

ce f

or

Co

mp

ute

r Sc

ien

ce a

nd

So

ftw

are

Engi

nee

rin

g

Ho

no

urs

se

qu

ence

:

TRIM

:F3

14

08

ID:

70

1

Lvl

Typ

eC

od

eTi

tle

Pre

req

uis

ite

Co

req

uis

ite

Inco

mp

atib

iliti

es

TRIM

Cat

AC

atB

Take

co

re u

nit

s at

Lev

el 4

:

4C

ore

CIT

S40

01

Co

mp

ute

r Sc

ien

ce a

nd

So

ftw

are

Engi

nee

rin

g R

esea

rch

Pro

ject

Par

t 1

Co

mp

leti

on

of

an u

nd

ergr

adu

ate

maj

or

in C

om

pu

ter

Scie

nce

or

Ap

plie

d C

om

pu

tin

g, o

r eq

uiv

alen

t p

rep

arat

ion

.En

rolm

ent

in t

he

Co

mp

ute

r Sc

ien

ce

and

So

ftw

are

Engi

nee

rin

g h

on

ou

rs

pro

gram

me.

Nil.

F35

28

2

4C

ore

CIT

S40

02

Co

mp

ute

r Sc

ien

ce a

nd

So

ftw

are

Engi

nee

rin

g R

esea

rch

Pro

ject

Par

t 2

Co

mp

leti

on

of

an u

nd

ergr

adu

ate

maj

or

in C

om

pu

ter

Scie

nce

or

Ap

plie

d C

om

pu

tin

g, o

r eq

uiv

alen

t p

rep

arat

ion

.En

rolm

ent

in t

he

Co

mp

ute

r Sc

ien

ce

and

So

ftw

are

Engi

nee

rin

g h

on

ou

rs

pro

gram

me.

Nil.

F35

28

3

Take

4 o

pti

on

s at

Lev

el 4

fro

m t

his

gro

up

(A

):

4O

pti

on

(A

)C

ITS4

00

3A

rtif

ical

Inte

llige

nce

an

d A

dap

tive

Sy

stem

s

Co

mp

leti

on

of

an u

nd

ergr

adu

ate

maj

or

in C

om

pu

ter

Scie

nce

or

Ap

plie

d C

om

pu

tin

g, o

r eq

uiv

alen

t p

rep

arat

ion

.N

il.N

il.F3

15

73

4O

pti

on

(A

)C

ITS4

00

4C

om

pu

tati

on

al M

od

ellin

gC

om

ple

tio

n o

f an

un

der

grad

uat

e m

ajo

r in

Co

mp

ute

r Sc

ien

ce o

r A

pp

lied

Co

mp

uti

ng,

or

equ

ival

ent

pre

par

atio

n.

Nil.

Nil.

F31

57

4

4O

pti

on

(A

)C

ITS4

00

5M

ob

ile a

nd

Wir

eles

s C

om

pu

tin

gC

om

ple

tio

n o

f an

un

der

grad

uat

e m

ajo

r in

Co

mp

ute

r Sc

ien

ce o

r A

pp

lied

Co

mp

uti

ng,

or

equ

ival

ent

pre

par

atio

n.

Nil.

CIT

S72

19

Mo

bile

an

d W

irel

ess

Co

mp

uti

ng

F31

57

5

4O

pti

on

(A

)C

ITS4

00

6C

om

pu

ter

Vis

ion

Co

mp

leti

on

of

an u

nd

ergr

adu

ate

maj

or

in C

om

pu

ter

Scie

nce

or

Ap

plie

d C

om

pu

tin

g, o

r eq

uiv

alen

t p

rep

arat

ion

.N

il.N

il.F3

15

76

4O

pti

on

(A

)C

ITS5

XX

XC

lou

d C

om

pu

tin

gC

om

ple

tio

n o

f th

e C

om

pu

ter

Scie

nce

Maj

or

or

an

app

rove

d M

PE

Pre

limin

ary

pro

gram

me.

CIT

S32

00

P

rofe

ssio

nal

Co

mp

uti

ng

Nil.

Nil.

F41

53

4

Cu

rren

t as

at

Tues

day

, 22

May

20

12

Pag

e 1

of

1

4C

ore

CIT

S40

08

Scie

nti

fic

Co

mm

un

icat

ion

Nil.

A r

esea

rch

pro

ject

un

it in

Co

mp

ute

r Sc

ien

ce, E

ngi

nee

rin

g o

r al

lied

sc

ien

ces

Nil.

F31

57

2

Attachment T2

CITS4XXX Artificial Intelligence and Adaptive Systems

TRIM: F41531Unit ID: 2636

Proposed New Unit:

Unit Information

Code alpha prefix: CITS

Resp. Org. Entity: Computer Science & Software Engineering (00230)

Level: 4

2014

Contact: Dr Wei Liu ([email protected])

Title: Artificial Intelligence and Adaptive Systems

Type: Undergraduate in honours specialisation(s); Postgraduate - Professional Practice Masters;

Faculty: Engineering, Computing and Mathematics

Academic informationUnit Content: Building software modules that can learn from and adapt to a changing and unknown environment is

the challenge facing many real-world problems, such as multi-robot coordination and navigation, modelling and problem solving for large complex systems. This unit covers a class of nature inspired algorithms and structures for creating programs that demonstrate emergent adaptive and intelligent behavious, including evolutionary algorithms, neural networks, machine learning and a range of optimisation techniques powered by swarm intelligence. They can be used to solve problems ranging from complex optimisation, adaptive learning to knowledge acquisition, which form the core research areas of artificial intelligence. Numerous research questions remain when such techniques are applied in real-world situations. In this interactive, project based unit, students are given the opportunities to explore the above-mentioned advanced topics in artificial intelligence and adaptive systems, research into one topic or techinque of interest, develop and apply software solutions in simulated environments.

Outcomes: On completion of this unit, students will be able to:

• Explain research questions, proposed solutions and evaluation techniques to peers and research groups in seminar settings effectively using oral communication• Produce scientific writing such as research papers that explain the hypothesis, experimental design, evaluation strategy and be able to sythesize and draw comparison with existing solutions.• Locate, digest, use and reference relevant information in the area of Artificial Intelligence and Adaptive Systems.• Participate effectively as a member of a team, in particular, value alternative and diverse viewpoints, and be able to contribute constructively to the overall team goal.• Discuss the general concepts and approaches taken for building adaptive systems• Carry out focused research investigation and literature search on one particular approach of interest• Describe the important underlying technologies in artificial intelligence and adaptive systems: neural networks, evolutionary algorithms, machine learning and various nature inspired optimisation techniques.• Develop special expertise in one of the above area of research, appreciate the fundamentals of the area, and understand the current trend and the state of the art.• Apply the techniques of selection to solve unseen/undocumented problems• Develop competency in formulating problems, devise computation models, build algorithms and software modules to solve problems that requires intelligent and adaptive solutions.• Appreciate the role of Artificial Intelligence and Adaptive Sytems in real-world problem solving and complex system modelling.• Critically discuss on open problems and research questions in the research field of Artificial Intelligence and Adaptive Systems.

Assessments tied to outcomes:

See attached Accreditation Competency Map, Tables 1.1 and 1.2.

25/05/2012

Credit points: 6

Assessment items: This comprises of tutorial assignments, in-class seminars and a programming project.

First year of offer:

Proposed:

Workload hoursper 6 points:

150

Please note that this unit is not yet approved.

Pg. 1 of 3 Attachment T3

Prerequisites:

Data Structure and Algorithm or Computer Analysis and Visualisation

Corequisites: Nil.

Incompatibilities: CITS7212 Computational Intelligence

Unit rules

Teaching and Learning Practices:

Lectures, Student Seminars, Laboratories, Tutorials

Technologies: No data available.

Consultations

Lecture theatres Laboratory spaceTutorial rooms

Funding and resourcesSource: Faculty/School funds

Details: No details provided.

Teaching Responsibilities

Offerings

Further details:

Quota: No quota proposed.

Library Form Approved

In the context of preparing this submission, the Faculty has liaised with the Science Library (Acting Associate Manager Jenny Smith), and an agreement was reached that library consultation forms for all MPE units will be completed and submitted by the Faculty later in the year. This decision was made in order to avoid the duplication of a large administrative task for both parties, as the information required in the library consultation form is not yet finalised for all units. To give an indication as to whether a large number of new titles will need to be ordered, however, the Science Library has been advised that many of the new MPE units will make use of existing texts and research papers

CITS7212 Computational Intelligence

The existing unit will not be retained.

Curriculum from existing unitsUnit codes

Details

Accommodation requirements

Types:

Summary:

Central Teaching Spaces;

Library:

Location Mode Estimated enrolmentTeaching PeriodCrawleySemester 2 (2014) FACE2FACE 50: Projected course enrolment distrubuted by

approx current preferences

Type SummaryNameInternal International Centre A range of meetings and correspondence have taken place with the International

Centre during the planning for the MPE and MPE Prelim, including meetings with the Directory, Kelly Smith, the Manager International Quality Assurance, Anthony Turner, and the Manager International Postgraduate Students, Fiona Birt.These have included issues such as the timing and availability of courses, admissions, credit, joint offers/articulation and ESOS compliance.

Employer Group Industry Advisory Boards, Panels and Foundations

Industry Advisory Boards, Panels and Foundations

Teaching Org % Summary

Computer Science & Software Engineering

100% Owning faculty.


Committee endorsements and approvals

Accreditation Body

EA, ACS, IChemE The Faculty has undergone regular consultation with accreditation bodies including Engineers Australia (EA), the Australian Computer Society (ACS), and the Institution of Chemical Engineers (IChemE), during the development of its New Courses. This has culminated in a joint accreditation visit by EA and ACS in November 2011 at which all MPE programmes were recommended by the Joint Board for provisional accreditation subject to further reporting against recommendations in 2012. A visit from IChemE is anticipated in 2012.

Internal Admissions Discussions with the Admissions Centre have included entry requirements for the MPE and MPE Prelim, and the use of an assured pathway to the MPE in the TISC publications.

Internal CATL The Faculty has an early adoption/feedback group working with the Moodle team. The Faculty already makes extensive use of CMO and Lecture Capture. Members of the Faculty are in consultation with members of CATL, including the Director, Denise Chalmers, and the Higher Education Development officer, Lee Partridge, on a range of issues including the induction and training of staff and in particular, in regard to the MPE, ensuring teaching and assessment can be demonstrated to be at the appropriate level for the masters programme.

StatusReview committee Resolution Date NotesEndorsedFaculty Board R14/12 29/02/2012 Imported from the excel New Unit

Proposal form.

Not yet endorsedBoard of Coursework Studies

Not yet approvedAcademic Council

28/05/2012 11:25:44 AM


CITS4XXX Computational Modelling


Proposed New Unit:

Unit Information



Level: 4

2014

Contact: Tim French ([email protected])

Title: Computational Modelling



Prerequisites: Completion of the Computer Science Major, or the Engineering Science Major including the Electrical Pathway, or an approved MPE Preliminary programme.

Unit rules

Academic informationUnit Content: This unit explores current research topics in computational modelling. Students develop skills to

identify problems, formulate solutions, and conduct further research in open questions in this domain.


LecturesComputer laboratory class


Outcomes: On completion of this unit, students will be able to:• Present computational models to address a given research hypothesis and qualify the limitations of these models.• Identify and discuss current open research topics in the field of computational modelling • Explain the concepts and technologies used in the field of computational modelling • Design, apply, and analyse relevant technologies to solve problems in the field of computational modelling



28/03/2012

Offerings

Credit points: 6

Assessment items: This comprises of a project and final exam



Proposed:


150

CITS7211 Modelling Complex Systems.

Existing unit will not be retained.


Details


Location Mode Estimated enrolmentTeaching PeriodCrawleySemester 1 (2014) FACE2FACE 50: Projected course enrolment distrubuted by



Corequisites: Nil.

Incompatibilities: CITS7211 Modelling Complex Systems

Consultations

Lecture theatresComputer laboratories





Further details:




Summary:

Library:





Accreditation Body









Proposal form.



28/05/2012 11:26:17 AM


CITS4XXX Mobile and Wireless Computing


Proposed New Unit:

Unit Information



Level: 4

2014

Contact: Tim French ([email protected])

Title: Mobile and Wireless Computing



Academic informationUnit Content: Wireless computing technologies are increasingly used to provide internet connectivity for portable

handheld devices and laptop computers, to permit ad-hoc communication between these same devices, and to enable the monitoring and control of our environment from remote locations. The current growth in affordable wireless computing devices presents many exciting opportunities and challenges. This unit introduces a number topics fundamental to the study of mobile and wireless computing.


The lectures will be delivered face-to-face. The laboratory sessions will be partially supervised.


Outcomes: On completion of this unit, students will be able to:• Work in teams and contribute to complex software projects related to wireless networks • Write technical reports and documentatio for complex computer programs • Demonstrate critical thinking and information literacy (e.g., design and implement complex programs using the information discussed in the lectures)• Effectively utilise interpersonal skills (e.g., listening attentively and communicating with team members for implementing a software project related to wireless networks)• Practice enquiry-based thinking relevant to the discipline (e.g., understanding the technical details of wireless communication systems like Bluetooth and Wireless LAN and relating this understanding to wireless platforms provided by different commodity Wi-Fi devices)• Apply problem solving and logical thinking skills to mobile and wireless computing • Write complex computer programs for implementing wireless communication protocols • Analyse the implementation of different wireless communication protocols implemented in the MAC and network layers of the OSI protocol stack• Design and implement complex applications that use wireless technologies for communication



28/03/2012

Offerings

Credit points: 6

Assessment items: This comprises of two programming assignments, a written essay and a team project.


Proposed:


150

This unit is based on CITS7219 Mobile and Wireless Computing.

The existing unit will not be retained and will be replaced by this new unit.


Details


Pg. 1 of 3Attachment T9


Networks and Security

Corequisites: Nil.

Incompatibilities: CITS7219 Mobile and Wireless Computing

Unit rules

Consultations

Lecture theatreLaboratory space




Further details:





Types:

Summary:

Central Teaching Spaces;

Library:

Location Mode Estimated enrolmentTeaching PeriodCrawleySemester 2 (2014) face to face 50: Projected course enrolment distrubuted by




Faculty/School Engineering, Computing and Mathematics

We have discussed this with the school of EE and this unit will complement the unit offered by them on wireless communication.

Faculty/School Agricultural and Resource Economics

Faculty/School Agricultural and Resource Economics



Accreditation Body










Proposal form.



28/05/2012 1:52:03 PM


CITS4XXX Computer Vision


Proposed New Unit:

Unit Information



Level: 4

2014

Contact: Du Huynh ([email protected])

Title: Computer Vision



Academic informationUnit Content: Computer vision is the science of automatically computing information and making decisions from an

observed image, image set, or an image sequence. It combines concepts from 'image processing' (in the spatial and frequency domains) and 'pattern recognition'. Computer vision has a wide number of potential applications, including satellite imaging, control and measurement, industrial inspection, surveillance (e.g. face recognition) and medical applications. This unit covers topics such as binary image analysis, greyscale image manipulation, mathematical morphology, linear and nonlinear filtering, feature extraction and image enhancement. It also covers camera calibration and projective geometry and how three-dimensional information can be reconstructed from single images, stereo pairs of images and motion sequences. In the future, it is anticipated that computer vision systems will become prevailing, and that vision technology will be more applied across a broad range of business and consumer products. This will result in a strong industry demand for computer vision engineers—for people who understand vision technology and know how to apply it in real-world problems.


The unit will consist of lectures and laboratory classes. Both the lectures will be for 2 hours per week. Theoretical work will be covered in the lectures. Practical work and implementation of algorithms will be covered by the exercises in the lab classes


Outcomes: On completion of this unit, students will be able to:• Explain Computer Vision problems in writing • Write Matlab code to solve Computer Vision problems • Describe the theories and principles in Computer Vision • Conduct independent research on a chosen research topic, write a small research report, and give an oral presentation• Demonstrate logical thinking and problem solving skills • Process images in both the spatial and frequency domains • Explain the technical theory behind formation of images • Critique various methodologies for solving problems in Computer Vision and Image Processing



28/03/2012

Credit points: 6

Assessment items: This comprises of a research report and seminar, a portfolio and a final exam.


Proposed:


150

Information not provided.

Curriculum from existing units

Details




Corequisites: Nil.

Incompatibilities: None

Unit rules

Consultations

Lecture theatresLaboratory space




Offerings

Advisable Prior Study:

Further details:





Types:

Summary:

Central Teaching Spaces; Spaces currently controlled by the Faculty/School;

Library:





Faculty/School Engineering, Computing and Mathematics

informal face-to-face discussion and over electronic mail

Faculty/School Architecture, Landscape and Visual Arts

Faculty/School Architecture, Landscape and Visual Arts



Accreditation Body










Proposal form.



28/05/2012 1:52:41 PM


CITS5XXX Cloud Computing


Proposed New Unit:

Unit Information



Level: 5

2013

Contact: Chris McDonald ([email protected])

Title: Cloud Computing

Type: Postgraduate - Professional Practice Masters;


Academic informationUnit Content: This unit introduces cloud computing as the provision of computation, and the management of and

access to large data sets, as a service. Students will be exposed to modern systems architectures and software development kits that, together, provide cloud computing frameworks. Students will design, implement, and evaluate cloud-based applications, following a number of distinct models of development.Students will gain a sound understanding of the scientific and engineering fundamentals of cloud-based computing and the opportunities that it provides for a diverse range of computing applications. Students appreciate the professional and ethical responsibilities they hold in deploying and using wireless networks, and are aware of their growing role in a global and societal context.The goal of the unit is to provide students with an opportunity to undertake problem identification, analysis and solution and to apply these skills to the field of mobile and wireless computing. The unit provides the foundation for development of in-depth competence in this field, and encourages lifelong learning as wireless computing becomes more pervasive.


LecturesComputer Laboratory classes


Outcomes: On completion of this unit, students will be able to:• Identify and present research problems related to cloud-based computing systems • Write well structured technical documentation and reports • Comprehend published research literature. • Apply appropriate programming techniques for cloud-based computing • Propose new ways of modifying, extending or combining existing methodologies and implementation techniques.• Comprehend and apply international standards documents and application programming interface documentation• Examine and deliberate the potential for, and practicality of, developing cloud computings architectures for specific applications.



28/03/2012

Credit points: 6

Assessment items: This comprises of laboratory assignments, a written essay and a team based project.


Proposed:


150

Information not provided.

Curriculum from existing units

Details



Prerequisites: Completion of the Computer Science Major or an approved MPE Preliminary programme.

CITS3200 Professional Computing

Corequisites: Nil.

Incompatibilities: Nil.

None

Unit rules

Consultations

Lecture theatresComputer laboratories



The popularity of the Internet and our increased dependence on mobile and wireless technology has driven the need for always available, robust, and secure distributed computing platforms. Cloud computing attempts to address many of these challenges but there remain many unresolved issues related to the accessibility, scalability, confidentiality, integrity, and ownership, of the computation and data managed by a cloud.

This unit introduces cloud computing as the provision of computation, and the management of and access to large data sets, as a service. Students will be exposed to modern systems architectures and software development kits that, together, provide cloud computing frameworks. Students will design, implement, and evaluate cloud-based applications, following a number of distinct models of development.


Offerings

Unit offered/shared in courses

Advisable Prior Study:

Additional information

Further details:





Types:

Summary:

Central Teaching Spaces; Spaces currently controlled by the Faculty/School;

Library:




Centre during the planning for the MPE and MPE Prelim, including meetings with the Directory, Kelly Smith, the Manager International Quality Assurance, Anthony Turner, and the Manager International Postgraduate Students, Fiona Birt.These




Unit roleTitle Curriculum status TypeOptionComputer Science and Software

EngineeringProposedHonours



have included issues such as the timing and availability of courses, admissions, credit, joint offers/articulation and ESOS compliance.



Accreditation Body





Proposal form.



30/05/2012 11:46:50 AM


Prop

osed

cha

nges

for

CIT

S400

1 Co

mpu

ter

Scie

nce

and

Soft

war

e En

gine

erin

g Res

earc

h Pr

ojec

t Pa

rt 1

Shar

ed u

nit

s:H

ons

(BSc

): C

ompu

ter

Scie

nce

and

Soft

war

e En

gine

erin

g (C

ore)

Old

Val

uePr

opos

ed N

ew V

alue

Fiel

dIm

pact

, ju

stifi

catio

n an

d/or

not

esAp

prov

als

Subm

itted

Ass

essm

ent

Item

s85

%:

res

earc

h di

sser

tatio

n.

10%

: re

sear

ch

sem

inar

. 5%

: re

sear

ch p

oste

r.As

sess

men

t co

ntin

uing

into

Par

t 2

(CIT

S400

2)Ju

stif

icat

ion

:

This

uni

t co

nstit

utes

the

firs

t pa

rt o

f th

e ye

ar-lo

ng h

onou

rs-le

vel

rese

arch

pro

ject

whe

re a

ll as

sess

men

t oc

curs

in t

he s

econ

d pa

rt.

Nee

ds

appr

oval

fr

om:

BoS;

18/0

4/20

12

Prop

osed

cha

nges

for

CIT

S400

2 Co

mpu

ter

Scie

nce

and

Soft

war

e En

gine

erin

g Res

earc

h Pr

ojec

t Pa

rt 2

Shar

ed u

nit

s:H

ons

(BSc

): C

ompu

ter

Scie

nce

and

Soft

war

e En

gine

erin

g (C

ore)

Old

Val

uePr

opos

ed N

ew V

alue

Fiel

dIm

pact

, ju

stifi

catio

n an

d/or

not

esAp

prov

als

Subm

itted

Ass

essm

ent

Item

s85

%:

res

earc

h di

sser

tatio

n.

10%

: re

sear

ch

sem

inar

. 5%

: re

sear

ch p

oste

r.Ju

stif

icat

ion

:

Dat

a or

igin

ally

mis

sing

fro

m h

andb

ook.

Nee

ds

appr

oval

fr

om:

BoS;

18/0

4/20

12

Attachment U1

approved sequence for computer science and software ... · enrolment in the computer science and...

Documents