Modelling Complex Software Systems

Subject SWEN40004 (2012)

Note: This is an archived Handbook entry from 2012.

Credit Points: 12.50
Level: 4 (Undergraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2012:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 36 hours consisting of 24 one-hour lectures (two per week) and 12 one-hour workshops (one per week)
Total Time Commitment:

120 hours
Prerequisites:
Subject
Study Period Commencement:
Credit Points:

AND

ONE of the following:

Subject
Study Period Commencement:
Credit Points:
Semester 1, Semester 2
12.50
Semester 1, Semester 2
12.50

OR

433-253 Algorithms & Data Structures
Corequisites:

None
Recommended Background Knowledge:

None
Non Allowed Subjects:

433-441 Systems Modelling and Analysis
433-641 Systems Modelling and Analysis
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.The University is dedicated to provide support to those with special requirements. Further details on the Disability support scheme can be found at the Disability Liaison Unit Website:http://www.services.unimelb.edu.au/disability

Coordinator

Dr Timothy Miller

Contact

Dr Shanika Karunasekera

email: karus@unimelb.edu.au

Subject Overview:

Mathematical modelling is important for understanding many facets of digital 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. Topics covered will be selected from: logic; probability and stochastic modeling; model-oriented methods for systems analysis; the use of automata, process algebra, and Petri nets in the analysis of concurrent systems; dynamical systems, networks and the analysis of complex systems.
Objectives:

On completion of this subject students should be able to:

  • To select from a range of techniques with which to model discrete systems
  • To select analysis techniques and perform analysis on discrete systems
  • Have the theoretical basis for understanding modern analytical techniques and the skill to solve problems using those techniques
Assessment:
  • Between 3 and 6 modelllng and analysis problems (the exact number is determined by the student) submitted during semester time (50%)
  • And a 3-hour end-of-semester written examination (50%).

To pass the subject, students must obtain:

  • 25/50 in modelling problems
  • And 25/50 in the written examination
Prescribed Texts: None
Breadth Options:

This subject is not available as a breadth subject.
Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

On completion of this subject students shoul have the:

  • 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
Related Majors/Minors/Specialisations: B-ENG Software Engineering stream
Master of Engineering (Software)

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