• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Transitional
  • Course subject Computer Science
  • Academic career PGRD
  • Course convener
    • Dr Ramesh Sankaranarayana
  • Mode of delivery In Person
  • Offered in First Semester 2019
    See Future Offerings

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:

  1. Understand the connection between digital logic and its physical implementations and identify the components of a computer (incl. structures inside the CPU).
  2. 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.
  3. Utilise a macro-assembly language (e.g. C) to structure machine level programs and map high-level language constructs to machine level implementations.
  4. Be familiar with the concept of memory hierarchy.
  5. Be familiar with basic physical implementations of I/O systems (e.g. busses).
  6. Understand the relation between physical systems, models, simulation, verification and validation.
  7. Design a model and an accompanying simulation for a relevant engineering problem.
  8. Evaluate a simulation, highlighting the benefits and the drawbacks.
  9. Make decisions about the balance between physical experimentation and computational simulations.

Indicative Assessment

  1. Assignments (30) [LO null]
  2. Lab Tests (5) [LO null]
  3. Mid-semester exam (15) [LO null]
  4. Final Exam (50%) (50) [LO null]

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Workload

12 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.

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must be studying Master of Computing or have successfully completed COMP6700 or COMP6710. Incompatible with ENGN2219, COMP2300 and COMP6300.

Prescribed Texts

None

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
Domestic fee paying students
Year Fee
2019 $4320
International fee paying students
Year Fee
2019 $5700
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3054 25 Feb 2019 04 Mar 2019 31 Mar 2019 31 May 2019 In Person N/A

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