- Code COMP6719
- Unit Value 6 units
- Offered by School of Computing
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Academic career PGRD
- Shoaib Akram
- Mode of delivery In Person
First Semester 2022
See Future Offerings
This course has been adjusted for remote participation in Semester 1 2021.
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.
Upon successful completion, students will have the knowledge and skills to:
- Understand the connection between digital logic and its physical implementations and identify the components of a computer (incl. structures inside the CPU).
- Convert data into machine readable formats and choose an adequate format for a given problem as well as design and implement basic machine level programs incl. sub-routines and I/O.
- Utilise a macro-assembly language (e.g. C) to structure machine level programs and map high-level language constructs to machine level implementations.
- Be familiar with the concept of memory hierarchy.
- Be familiar with basic physical implementations of I/O systems (e.g. busses).
- Understand the relation between physical systems, models, simulation, verification and validation.
- Design a model and an accompanying simulation for a relevant engineering problem.
- Evaluate a simulation, highlighting the benefits and the drawbacks.
- Make decisions about the balance between physical experimentation and computational simulations.
- Assignments (30) [LO null]
- Lab Tests (5) [LO null]
- Mid-semester exam (15) [LO null]
- Final Exam (50%) (50) [LO null]
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Workload12 weeks of four hours contact hours each; divided into laboratories, tutorials and lectures. The total time expected (including preparations and assignments) is 10 hours per week.
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
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Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|2484||21 Feb 2022||28 Feb 2022||31 Mar 2022||27 May 2022||In Person||N/A|