|Year of offer||2018|
|Subject level||Undergraduate Level 3|
|Fees||Subject EFTSL, Level, Discipline & Census Date|
The aim of this subject is to equip students with computational tools for solving common physical engineering problems. The focus of the lectures is on archetypical physical engineering problems and their solutions via the effective implementation of classical algorithms.
Indicative content: asymptotic notation, abstract data structures, sorting and searching, numerical integration of ordinary differential equations and two-point boundary value problems, numerical stability and convergence.
Intended learning outcomes
Intended Learning Outcomes (ILOs)
At completion of this subject students should be able to:
1 - estimate and measure the numerical complexity of programs;
2 - numerically solve a system of ordinary differential equation representing physical, nonlinear, multi-domain systems;
3 - numerically solve a two-point boundary value problem;
4 - numerically solve an optimisation problem.
- Application of knowledge of basic science and engineering fundamentals.
- Effective communication about computational efficiency.
- Capacity to reason and solve problems.
- Ability to undertake problem identification, formulation and solution.
- Capacity for creativity and innovation.
- Profound respect for truth and intellectual integrity, and for the ethics of scholarship.
Eligibility and requirements
COMP20005 Engineering Computation
ENGR20004 Engineering Mechanics
MAST20029 Engineering Mathematics
OR BOTH OF
MAST20009 Vector Calculus and MAST20030 Differential Equations
Core participation requirements
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
- One written two hour closed book end of semester examination (40%). ILOs 1 to 4 are addressed in the exam.
The examination is a hurdle and must be passed to pass the subject.
- Two assignments (maximum of 50 pages for both assignments and total time commitment approximately 72 hours), due in weeks 5 and 11 (60%)
Assignment 1 due week 5 (25%)
Assignment 2 due week 11 (35%)
ILOs 1 to 4 are addressed in the assignments.
Dates & times
- Semester 2
Principal coordinator Richard Sandberg Mode of delivery On Campus — Parkville Contact hours 36 hours, comprising 24 x 1 hr lectures and 12 x 1 hr workshops. Total time commitment 170 hours Teaching period 23 July 2018 to 21 October 2018 Last self-enrol date 3 August 2018 Census date 31 August 2018 Last date to withdraw without fail 21 September 2018 Assessment period ends 16 November 2018
Semester 2 contact information
Time commitment details
Estimated 170 hours
Numerical Recipes in C. (Press et al).
- Related Handbook entries
This subject contributes to the following:
Type Name Informal specialisation Science-credited subjects - new generation B-SCI and B-ENG. Specialisation (formal) Mechatronics Informal specialisation Selective subjects for B-BMED Major Mechatronics
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required