Engineering Computation

This subject has the following teaching availabilities in 2013:

On campus only

120 hours

One of:

Plus one of:
(these may be taken concurrently)

620 156 Linear Algebra

620 157 Accelerated Mathematics 1

620 158 Accelerated Mathematics 2

OR

Admission to the MC-ENG Master of Engineering

None

433 171 Introduction to Programming

433 151 Introduction to Programming (Advanced)

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability

Many engineering disciplines make use of numerical solutions to computational problems. In this subject students will be introduced to the key elements of programming in a high level language, and will then use that skill to explore methods for solving numerical problems in a range of discipline areas.

On successful completion of the subject students should be able to:

• Read, write and debug typical small-scale numerical programs in a high-level programming language (such as C)
• Test and debug such programs
• Argue for the correctness of such programs, from both a logical point of view and a numeric-soundness point of view
• Be aware of the range of tools available for creating computational solutions to engineering problems, and be able to evaluate and choose between alternative approaches
• Describe and employ the general concepts that apply when computers are used to solve mathematical problems
• Demonstrate familiarity with the underlying theory behind a range of numerical algorithms used in commercial engineering software packages.

• Project work during semester, expected to take about 36 hours (30%), due in approximately Week 8 and Week 11
• One mid-semester test (10%), held in Week 5 or Week 6
• One 2-hour end-of-semester examination including a practical component (60%)

To pass the subject, students must obtain at least:

• 50% overall - 12/30 in project work; 28/70 in the mid-semester test and end-of-semester written examination combined
• ILO1 is addressed in all components of assessment. ILO2 is assessed in the programming assignments. ILO3 is assessed in the programming assignments and in the examination. ILO4, ILO5, and ILO6 are assessed in the examination.

None

This subject potentially can be taken as a breadth subject component for the following courses:

• Bachelor of Arts
• Bachelor of Commerce
• Bachelor of Environments
• Bachelor of Music

You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.

On completion of this subject students should have the:

• Ability to undertake problem identification, formulation and solutionapacity for independent critical thought, rational inquiry and self-directed learning
• Profound respect for truth and intellectual integrity, and for the ethics of scholarship
• An ability to apply knowledge of basic science and engineering fundamentals

This subject is available for science credit to students enrolled in the BSc (both pre-2008 and new degrees), BASc or a combined BSc course. Students undertaking this subject will be expected to regularly access an internet-enabled computer.