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Intro. to Numerical Computation in C (COMP20005)
Undergraduate level 2Points: 12.5Dual-Delivery (Parkville)
From 2023 most subjects will be taught on campus only with flexible options limited to a select number of postgraduate programs and individual subjects.
To learn more, visit COVID-19 course and subject delivery.
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 - Dual-Delivery Semester 2 - Dual-Delivery |
|---|---|
| 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
On completion of this subject the student is expected to:
- Read and write typical small-scale numerical programs in a high-level programming language
- 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 techniques available for creating computational solutions to scientific and 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 numerical problems
- Demonstrate familiarity with the underlying theory behind a range of numerical algorithms used in scientific and 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: 20 May 2023
Eligibility and requirements
Prerequisites
Students must meet one of the following prerequisite options:
Option 1
One of
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST10005 | Calculus 1 |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| MAST10006 | Calculus 2 |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
Summer Term (Dual-Delivery - Parkville)
|
12.5 |
| MAST10009 | Accelerated Mathematics 2 | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| MAST10021 | Calculus 2: Advanced | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
AND
One of
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST10007 | Linear Algebra |
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
| MAST10008 | Accelerated Mathematics 1 | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| MAST10022 | Linear Algebra: Advanced | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
Note: Any of the above subjects may also be taken concurrently
Option 2
Admission into or selection of one of the following:
- MC-ENG Master of Engineering
- MC-ELECENG Master of Electrical Engineering
- MC-SPATENG Master of Spatial Engineering
- MC-MTRNENG Master of Mechatronics Engineering
Corequisites
None
Non-allowed subjects
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| COMP10002 | Foundations of Algorithms |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
| ENGR20005 | Numerical Methods in Engineering |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - 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: 20 May 2023
Assessment
| Description | Timing | Percentage |
|---|---|---|
Two on-line quizzes (20% combined). ILOs 1, 2, 3, 4, 5 and 6 are addressed.
| Week 5 and Week 9 | 20% |
Two Programming Assignments (40% combined). 35~40 hours each. ILOs 1, 2 and 3 are addressed.
| Due Week 8 and Week 11 | 40% |
Two-hour programming exam (40%, examination period). ILOs 1, 2, 3, 4, 5 and 6 are addressed.
| During the examination period | 40% |
Last updated: 20 May 2023
Dates & times
- Semester 1
Principal coordinator Alistair Moffat Mode of delivery Dual-Delivery (Parkville) Contact hours 52 hours, comprising approximately thirty hours of lecture video content; and eleven two-hour workshop classes available in both on-line or in-person mode, one hour of which is tutorial style activity, and the second hour of which is individual work, with the tutor available to assist. (Both of those two workshop options will be made available even we have reverted to "full normal" operation, and students will elect which type of workshop they enrol in at the commencement of the semester, with the numbers of each type of class adjusted to suit student preferences.) Weekly opt-in in-person lecturer consultation opportunities will be provided to support students who wish to attend them. Total time commitment 170 hours Teaching period 28 February 2022 to 29 May 2022 Last self-enrol date 11 March 2022 Census date 31 March 2022 Last date to withdraw without fail 6 May 2022 Assessment period ends 24 June 2022 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 Dual-Delivery (Parkville) Contact hours 52 hours, comprising approximately thirty hours of lecture video content; and eleven two-hour workshop classes available in both on-line or in-person mode, one hour of which is tutorial style activity, and the second hour of which is individual work, with the tutor available to assist. (Both of those two workshop options will be made available even we have reverted to "full normal" operation, and students will elect which type of workshop they enrol in at the commencement of the semester, with the numbers of each type of class adjusted to suit student preferences.) Weekly opt-in in-person lecturer consultation opportunities will be provided to support students who wish to attend them. Total time commitment 170 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022 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: 20 May 2023
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- 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 Bachelor of Design Elective Subjects Informal specialisation Science Discipline subjects - new generation B-SCI Specialisation (formal) Electrical Specialisation (formal) Mechanical with Business Specialisation (formal) Software with Business Specialisation (formal) Electrical with Business Specialisation (formal) Software Informal specialisation Environments Discipline subjects Major Spatial Systems Specialisation (formal) Mechanical Specialisation (formal) Spatial Specialisation (formal) Mechatronics - Breadth options
This subject is available as breadth in the following courses:
- Bachelor of Arts
- Bachelor of Commerce
- Bachelor of Design
- Bachelor of Environments
- Bachelor of Fine Arts (Acting)
- Bachelor of Fine Arts (Animation)
- Bachelor of Fine Arts (Dance)
- Bachelor of Fine Arts (Film and Television)
- Bachelor of Fine Arts (Music Theatre)
- Bachelor of Fine Arts (Production)
- Bachelor of Fine Arts (Screenwriting)
- Bachelor of Fine Arts (Theatre)
- Bachelor of Fine Arts (Visual Art)
- Bachelor of Music
- 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: 20 May 2023