This course introduces students familiar with programing concepts to tools and techniques for developing software systems in the computational engineering context. The course teaches the fundamental strategies of modelling, abstraction, decomposition and reuse as methods for constructing software systems used in Engineering simulation. Verification and validation techniques, with an emphasis on testing, are taught as a means to ensure that students are able to undertake meaningful simulations using computational tools, and deliver reliable software for this purpose. The course will be taught using one or more programming languages and environments which are widely applicable to engineering simulation.
In particular, the course will cover: interactive and stored program use of computers, modelling in the simulation context; program organisation; accuracy and performance issues in numerical algorithms; structured numeric data types and abstract data types; procedural and object-oriented programming approaches; visual programming approaches for simulation; the software life-cycle; and verification and validation. Case studies will be taken from various Engineering simulation scenario.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Upon completion of this course, the student will be able to:
- model small to moderate sized problems in engineering simulation for the purpose of computational implementation.
- be able to analyze case studies in engineering simulation, and recognize how to apply the techniques and methods used to other situations.
- complete the implementation of a program, given a description of its required behavior.
- be able to structure the design of a larger task into appropriate sub-tasks, using procedural and object-oriented methods where appropriate.
- analyze alternatives among simple algorithms -- based on numerical properties and algorithm complexity -- and select the most appropriate for a simple task.
- be able to reason about the correctness of a simple program, given a logical description of its required behavior.
- analyze alternatives among simple data-structures, and select the most appropriate structure for a simple task.
- apply their knowledge of testing principles to select appropriate test data for an individual software module, and implement a test harness to perform its testing.
- be capable of applying visual programming techniques to simple examples in engineering simulation.
- identify economic implications of the software life cycle to the process of software construction in this context.
Indicative Assessment
Two Assignments (30%); Lab Tests (20%); Final Exam (50%)
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Workload
Thirty one-hour lectures and nine two-hour tutorial/laboratory sessions
Requisite and Incompatibility
Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2016 | $3480 |
- International fee paying students
| Year | Fee |
|---|---|
| 2016 | $4638 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 3514 | 15 Feb 2016 | 26 Feb 2016 | 31 Mar 2016 | 27 May 2016 | In Person | N/A |
