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Modelling Complex Software Systems (SWEN90004)
Graduate courseworkPoints: 12.5Online
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Artem Polyvyanyy
Overview
Availability | Semester 1 - Online |
---|---|
Fees | Look up fees |
AIMS
Mathematical modelling is important for understanding and engineering many facets of complex systems. The aim of this subject is for students to understand the range and use of mathematical theories and notations in the analysis of discrete systems, how to abstract the key aspects of a problem into a model to handle complexity, and how models can be employed to verify large-scale complex software systems.
INDICATIVE CONTENT
Topics covered will be selected from: Deterministic and stochastic modelling; dynamical systems; cellular automata; agent-based modelling; complex networks; simulation and analysis of complex systems; concurrent systems modelling, analysis and implementation; process algebra; temporal logic and model checking.
Intended learning outcomes
On completion of this subject the student is expected to:
- Identify and abstract the key features of a range of complex system
- Understand the theoretical basis underpinning the analysis of complex systems
- Analyse models of discrete and concurrent systems using a range of modern techniques
- Evaluate and select, amongst different modelling techniques, the most appropriate for analysing specific systems
- Create mathematical/computational models to analyse and verify the behaviour of complex systems
Generic skills
- Ability to undertake problem identification, formulation and solution
- Ability to utilise a systems approach to analysing software properties
- Capacity for independent critical analysis of models, and self-directed research for mathematical modelling approaches
- Intellectual curiosity and creativity, including understanding of the philosophical and methodological ideas behind research in software systems analysis
- Openness to new ideas and unconventional critiques of received wisdom
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP30026 | Models of Computation | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
And one of:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP20003 | Algorithms and Data Structures | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Online)
|
12.5 |
COMP20007 | Design of Algorithms | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
OR
Admission into the Master of Computer Science
Note: Students in the Software specialisation of the 200pt program of the Master of Engineering (MC-ENG) are not required to meet these prerequisites in order to enrol in SWEN90004.
Corequisites
None
Non-allowed subjects
Students cannot enrol in and gain credit for this subject and:
433-441 Systems Modelling and Analysis
433-641 Systems Modelling and Analysis
SWEN40004 Modelling Complex Software Systems
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Description | Timing | Percentage |
---|---|---|
One research project (involving a programming task and report writing) executed in pairs, expected to take approximately 25 - 30 hours. Intended Learning Outcomes (ILO's) 2, 3, ad 4 are addressed in the research project.
| Week 6 | 20% |
One assignment (in two parts) expected to take approximately 25 - 30 hours, due in weeks 10 and 12. ILO's 2, 3, and 4 are addressed in the assignments.
| From Week 10 to Week 12 | 20% |
A closed-book written examination. ILO's 1 to 4 are addressed in the examination.
| During the examination period | 60% |
Last updated: 3 November 2022
Dates & times
- Semester 1 - Online
Principal coordinator Artem Polyvyanyy Mode of delivery Online Contact hours 36 hours. 3 hours per week Total time commitment 200 hours Teaching period 1 March 2021 to 30 May 2021 Last self-enrol date 12 March 2021 Census date 31 March 2021 Last date to withdraw without fail 7 May 2021 Assessment period ends 25 June 2021 Semester 1 contact information
Artem Polyvyanyy
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Subject notes
LEARNING AND TEACHING METHODS
The subject will be delivered through a combination of lectures, hands-on workshops, individual assignments, and a pair-based project in which students use modelling and simulation to study a complex system.
INDICATIVE KEY LEARNING RESOURCES
A package of notes will be made available to the students at the start of the course. An addition reference is: Kramer, Jeff, and Jeff Magee: Concurrency: State Models and Java Programs, John Wiley and Sons, 2nd edition (2006).
CAREERS / INDUSTRY LINKS
The ability for software engineers and computer scientists to abstract and analyse complex problems is key to their profession. As software systems continue to be deployed in increasingly complex and critical environments, such as transport control, manufacturing, and healthcare, the tools and methods for analysing complex systems will become more important.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Doctor of Philosophy - Engineering Course Ph.D.- Engineering Course Master of Philosophy - Engineering Specialisation (formal) Computing Specialisation (formal) Software Specialisation (formal) Software with Business - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022