Approved sequence for Computer Science and Software ... · Enrolment in the Computer Science and...
Transcript of 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.
Pg. 2 of 3 Attachment T4
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
Pg. 3 of 3 Attachment T5
CITS4XXX Computational Modelling
TRIM: F41538Unit ID: 2634
Proposed New Unit:
Unit Information
Code alpha prefix: CITS
Resp. Org. Entity: Computer Science & Software Engineering (00230)
Level: 4
2014
Contact: Tim French ([email protected])
Title: Computational Modelling
Type: Undergraduate in honours specialisation(s); Postgraduate - Professional Practice Masters;
Faculty: Engineering, Computing and Mathematics
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.
Teaching and Learning Practices:
LecturesComputer laboratory class
Technologies: No data available.
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
Assessments tied to outcomes:
See attached Accreditation Competency Map, Tables 1.1 and 1.2.
28/03/2012
Offerings
Credit points: 6
Assessment items: This comprises of a project and final exam
Quota: No quota proposed.
First year of offer:
Proposed:
Workload hoursper 6 points:
150
CITS7211 Modelling Complex Systems.
Existing unit will not be retained.
Curriculum from existing unitsUnit codes
Details
Please note that this unit is not yet approved.
Location Mode Estimated enrolmentTeaching PeriodCrawleySemester 1 (2014) FACE2FACE 50: Projected course enrolment distrubuted by
approx current preferences
Pg. 1 of 3 Attachment T6
Corequisites: Nil.
Incompatibilities: CITS7211 Modelling Complex Systems
Consultations
Lecture theatresComputer laboratories
Funding and resourcesSource: Faculty/School funds
Details: No details provided.
Teaching Responsibilities
Committee endorsements and approvals
Further details:
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
Accommodation requirements
Summary:
Library:
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
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.
Teaching Org % Summary
Computer Science & Software Engineering
100% Owning faculty.
Pg. 2 of 3 Attachment T7
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 11:26:17 AM
Pg. 3 of 3 Attachment T8
CITS4XXX Mobile and Wireless Computing
TRIM: F41565Unit ID: 2622
Proposed New Unit:
Unit Information
Code alpha prefix: CITS
Resp. Org. Entity: Computer Science & Software Engineering (00230)
Level: 4
2014
Contact: Tim French ([email protected])
Title: Mobile and Wireless Computing
Type: Undergraduate in honours specialisation(s); Postgraduate - Professional Practice Masters;
Faculty: Engineering, Computing and Mathematics
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.
Teaching and Learning Practices:
The lectures will be delivered face-to-face. The laboratory sessions will be partially supervised.
Technologies: No data available.
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
Assessments tied to outcomes:
See attached Accreditation Competency Map, Tables 1.1 and 1.2.
28/03/2012
Offerings
Credit points: 6
Assessment items: This comprises of two programming assignments, a written essay and a team project.
First year of offer:
Proposed:
Workload hoursper 6 points:
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.
Curriculum from existing unitsUnit codes
Details
Please note that this unit is not yet approved.
Pg. 1 of 3Attachment T9
Prerequisites: Completion of the Computer Science Major, or the Engineering Science Major including the Electrical Pathway, or an approved MPE Preliminary programme.
Networks and Security
Corequisites: Nil.
Incompatibilities: CITS7219 Mobile and Wireless Computing
Unit rules
Consultations
Lecture theatreLaboratory space
Funding and resourcesSource: Faculty/School funds
Details: No details provided.
Teaching Responsibilities
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
Accommodation requirements
Types:
Summary:
Central Teaching Spaces;
Library:
Location Mode Estimated enrolmentTeaching PeriodCrawleySemester 2 (2014) face to face 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.
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
Employer Group Industry Advisory Boards, Panels and Foundations
Industry Advisory Boards, Panels and Foundations
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.
Teaching Org % Summary
Computer Science & Software Engineering
100% Owning faculty.
Pg. 2 of 3Attachment T10
Committee endorsements and approvals
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 1:52:03 PM
Pg. 3 of 3Attachment T11
CITS4XXX Computer Vision
TRIM: F41539Unit ID: 2633
Proposed New Unit:
Unit Information
Code alpha prefix: CITS
Resp. Org. Entity: Computer Science & Software Engineering (00230)
Level: 4
2014
Contact: Du Huynh ([email protected])
Title: Computer Vision
Type: Undergraduate in honours specialisation(s); Postgraduate - Professional Practice Masters;
Faculty: Engineering, Computing and Mathematics
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.
Teaching and Learning Practices:
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
Technologies: No data available.
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
Assessments tied to outcomes:
See attached Accreditation Competency Map, Tables 1.1 and 1.2.
28/03/2012
Credit points: 6
Assessment items: This comprises of a research report and seminar, a portfolio and a final exam.
First year of offer:
Proposed:
Workload hoursper 6 points:
150
Information not provided.
Curriculum from existing units
Details
Please note that this unit is not yet approved.
Pg. 1 of 3Attachment T12
Prerequisites: Completion of the Computer Science Major, or the Engineering Science Major including the Electrical Pathway, or an approved MPE Preliminary programme.
Corequisites: Nil.
Incompatibilities: None
Unit rules
Consultations
Lecture theatresLaboratory space
Funding and resourcesSource: Faculty/School funds
Details: No details provided.
Teaching Responsibilities
Offerings
Advisable Prior Study:
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
Accommodation requirements
Types:
Summary:
Central Teaching Spaces; Spaces currently controlled by the Faculty/School;
Library:
Location Mode Estimated enrolmentTeaching PeriodCrawleySemester 1 (2014) face to face 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.
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
Employer Group Industry Advisory Boards, Panels and Foundations
Industry Advisory Boards, Panels and Foundations
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.
Teaching Org % Summary
Computer Science & Software Engineering
100% Owning faculty.
Pg. 2 of 3Attachment T13
Committee endorsements and approvals
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 1:52:41 PM
Pg. 3 of 3Attachment T14
CITS5XXX Cloud Computing
TRIM: F41534Unit ID: 2635
Proposed New Unit:
Unit Information
Code alpha prefix: CITS
Resp. Org. Entity: Computer Science & Software Engineering (00230)
Level: 5
2013
Contact: Chris McDonald ([email protected])
Title: Cloud Computing
Type: Postgraduate - Professional Practice Masters;
Faculty: Engineering, Computing and Mathematics
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.
Teaching and Learning Practices:
LecturesComputer Laboratory classes
Technologies: No data available.
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.
Assessments tied to outcomes:
See attached Accreditation Competency Map, Tables 1.1 and 1.2.
28/03/2012
Credit points: 6
Assessment items: This comprises of laboratory assignments, a written essay and a team based project.
First year of offer:
Proposed:
Workload hoursper 6 points:
150
Information not provided.
Curriculum from existing units
Details
Please note that this unit is not yet approved.
Pg. 1 of 3Attachment T15
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
Funding and resourcesSource: Faculty/School funds
Details: No details provided.
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.
Teaching Responsibilities
Offerings
Unit offered/shared in courses
Advisable Prior Study:
Additional information
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
Accommodation requirements
Types:
Summary:
Central Teaching Spaces; Spaces currently controlled by the Faculty/School;
Library:
Location Mode Estimated enrolmentTeaching PeriodCrawleySemester 2 (2013) face to face 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
Teaching Org % Summary
Computer Science & Software Engineering
100% Owning faculty.
Unit roleTitle Curriculum status TypeOptionComputer Science and Software
EngineeringProposedHonours
Pg. 2 of 3Attachment T16
Committee endorsements and approvals
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
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
30/05/2012 11:46:50 AM
Pg. 3 of 3Attachment T17
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