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Numerical Programming for Engineers (ENGR30003)
Undergraduate level 3Points: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | Semester 2 |
---|---|
Fees | Look up fees |
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.
Generic skills
- 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.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Students must complete one of the following subject sets:
Three subjects:
COMP20005 Engineering Computation or COMP10002 Foundations of Algorithms
ENGR20004 Engineering Mechanics
MAST20029 Engineering Mathematics
OR
Four subjects:
MAST20009 Vector Calculus
MAST20030 Differential Equations
COMP20005 Engineering Computation
ENGR20004 Engineering Mechanics
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ENGR20005 | Numerical Methods in Engineering |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
Inherent requirements (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
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
One written closed book examination. ILOs 1 to 4 are addressed in the exam.
| End of semester | 40% |
Two assignments (maximum of 50 pages for both assignments) Assignment 1 due week 5 (25%) Assignment 2 due week 11 (35%)
| From Week 5 to Week 11 | 60% |
Additional details
ILOs 1 to 4 are addressed in the assignments.
Last updated: 3 November 2022
Dates & times
- Semester 2
Coordinator Aman Kidanemariam 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 3 August 2020 to 1 November 2020 Last self-enrol date 14 August 2020 Census date 21 September 2020 Last date to withdraw without fail 16 October 2020 Assessment period ends 27 November 2020 Semester 2 contact information
Time commitment details
Estimated 170 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
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 Major Mechatronics Systems Informal specialisation Selective subjects for B-BMED Specialisation (formal) 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
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022