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Engineering Computation (COMP20005)
Undergraduate level 2Points: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Semester 1: Professor Alistair Moffat
email: ammoffat@unimelb.edu.au
Semester 2: Dr Jianzhong Qi
email: jianzhong.qi@unimelb.edu.au
Semester 2
Semester 1: Professor Alistair Moffat
email: ammoffat@unimelb.edu.au
Semester 2: Dr Jianzhong Qi
email: jianzhong.qi@unimelb.edu.au
Overview
Availability | Semester 1 Semester 2 |
---|---|
Fees | Look up fees |
AIMS
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.
INDICATIVE CONTENT
- Algorithmic problem solving
- Fundamental data types: numbers and characters
- Approximation and errors in numerical computation
- Fundamental program structures: sequencing, selection, repetition, functions
- Simple data storage structures, variables, arrays, and structures
- Roots of equations and of linear algebraic equations
- Curve fitting and splines
- Interpolation and extrapolation
- Numerical differentiation and integration.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected 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
Generic skills
On completion of this subject students should have developed the following skills:
- The ability to undertake problem identification, formulation and solution
- Capacity 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.
Last updated: 22 March 2024
Eligibility and requirements
Prerequisites
One of the following:
- MAST10019 - Calculus Extension Studies
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10005 | Calculus 1 |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
MAST10006 | Calculus 2 |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
MAST10008 | Accelerated Mathematics 1 | Semester 1 (On Campus - Parkville) |
12.5 |
MAST10009 | Accelerated Mathematics 2 | Semester 2 (On Campus - Parkville) |
12.5 |
Plus one of:
(may be taken concurrently)
- MAST10018 - Linear Algebra Extension Studies
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10007 | Linear Algebra |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
|
12.5 |
MAST10008 | Accelerated Mathematics 1 | Semester 1 (On Campus - Parkville) |
12.5 |
MAST10009 | Accelerated Mathematics 2 | Semester 2 (On Campus - Parkville) |
12.5 |
OR
Admission to the
Code | Name | Teaching period | Credit Points |
---|---|---|---|
No longer available |
Corequisites
None
Non-allowed subjects
Students may not obtain credit for both
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10002 | Foundations of Algorithms |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
Recommended background knowledge
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ENGR10003 | Engineering Systems Design 2 |
Semester 2 (On Campus - Parkville)
Summer Term (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: 22 March 2024
Assessment
Additional details
- Project work during semester, requiring approximately 30 - 35 hours of work (30%), due in approximately Week 8 and Week 11
- One mid-semester test (10%), held in Week 5 or Week 6
- One two-hour end-of-semester examination (60%).
Hurdle requirement: 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.
Intended Learning Outcome (ILO) 1 is addressed in all components of assessment. ILO 2 is assessed in the programming assignments. ILO 3 is assessed in the programming assignments and in the examination. ILOs 4-6 are assessed in the examination.
Last updated: 22 March 2024
Dates & times
- Semester 1
Principal coordinator Alistair Moffat Mode of delivery On Campus (Parkville) Contact hours 60 hours, comprising of three 1-hour lectures and one 2-hour workshop per week Total time commitment 170 hours Teaching period 4 March 2019 to 2 June 2019 Last self-enrol date 15 March 2019 Census date 31 March 2019 Last date to withdraw without fail 10 May 2019 Assessment period ends 28 June 2019 Semester 1 contact information
Semester 1: Professor Alistair Moffat
email: ammoffat@unimelb.edu.au
Semester 2: Dr Jianzhong Qi
email: jianzhong.qi@unimelb.edu.au
- Semester 2
Principal coordinator Jianzhong Qi Mode of delivery On Campus (Parkville) Contact hours 60 hours, comprising of three 1-hour lectures and one 2-hour workshop per week Total time commitment 170 hours Teaching period 29 July 2019 to 27 October 2019 Last self-enrol date 9 August 2019 Census date 31 August 2019 Last date to withdraw without fail 27 September 2019 Assessment period ends 22 November 2019 Semester 2 contact information
Semester 1: Professor Alistair Moffat
email: ammoffat@unimelb.edu.au
Semester 2: Dr Jianzhong Qi
email: jianzhong.qi@unimelb.edu.au
Time commitment details
170 hours
Last updated: 22 March 2024
Further information
- Texts
Prescribed texts
None
- Subject notes
LEARNING AND TEACHING METHODS
The subject will be delivered through a combination of lectures, programming workshops, and programming exercises. Students will also be expected to develop and submit for assessment programming assignments.
INDICATIVE KEY LEARNING RESOURCES
Students will have access to lecture notes and lecture slides, and will be expected to own a copy of the textbook, nominated by the coordinator. Other guidance will be provided via LMS.
CAREERS / INDUSTRY LINKS
Programming competencies are a critical part of a range of engineering career pathways, especially electrical and mechanical engineering. Being familiar with computational thinking and problem solving techniques is important to the development of new devices and technologies in these disciplines.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Mathematics and Statistics) Informal specialisation Science-credited subjects - new generation B-SCI Informal specialisation Selective subjects for B-BMED Informal specialisation Bachelor of Design Elective Subjects Informal specialisation Environments Discipline subjects Specialisation (formal) Mechanical Specialisation (formal) Electrical with Business Major Spatial Systems Specialisation (formal) Electrical Specialisation (formal) Mechanical with Business Specialisation (formal) Software with Business Specialisation (formal) Mechatronics Specialisation (formal) Software Specialisation (formal) Spatial - Breadth options
This subject is available as breadth in the following courses:
- 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: 22 March 2024