Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit convenor
Stuart Hawkins
Lecturer
Christian Thomas
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
(MATH2010 or MATH235) and (MATH2020 or MATH2110 or MATH236 or MATH232)
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit develops the ideas and techniques of numerical analysis that allow computers to study complicated, realistic problems that are challenging or impossible to solve using analytic calculation. Topics in this unit include the basic theory of numerical analysis, computational solutions to differential equations, and numerical linear algebra. We will first introduce important ideas such as computational complexity and measures of numerical error. This will be followed by the study of computational methods for solving large linear systems and partial differential equations. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
The midsession quiz and exam must be undertaken at the time indicated in iLearn. Should these activities be missed due to illness or misadventure, students may apply for Special Consideration.
All other assessments must be submitted by 5:00 pm on their due date.
Should these assessments be missed due to illness or misadventure, students should apply for Special Consideration.
Late submissions of Problem Set 1 and Problem Set 2 are permitted. A consistent penalty will be applied for late submissions as follows:
A 12-hour grace period will be given after which the following deductions will be applied to the awarded assessment mark:
For example, an assessment worth 20% is due 5 pm on 1 January. Student A submits the assessment at 1 pm, 3 January. The assessment received a mark of 15/20. A 20% deduction is then applied to the mark of 15, resulting in the loss of three (3) marks. Student A is then awarded a final mark of 12/20.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Problem Set 1 | 20% | No | Week 6 |
Midsession quiz | 10% | No | Week 8 |
Final Exam | 50% | No | Examination period |
Problem Set 2 | 20% | No | Week 12 |
Assessment Type 1: Problem set
Indicative Time on Task 2: 15 hours
Due: Week 6
Weighting: 20%
Problem set requiring the design and implementation of numerical finite difference methods.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: Week 8
Weighting: 10%
A midsession quiz on all aspects of the course material.
Assessment Type 1: Examination
Indicative Time on Task 2: 15 hours
Due: Examination period
Weighting: 50%
This will be an invigilated exam, held in the exam period. It will test the ability of students to synthesise the concepts taught in the course in order to analyse and solve mathematical problems with various applications.
Assessment Type 1: Problem set
Indicative Time on Task 2: 15 hours
Due: Week 12
Weighting: 20%
Problem set requiring the design and implementation of methods for numerical linear algebra.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Off-shore students must email the convenor as soon as possible to discuss study options.
Week | Topics |
---|---|
1 | Computer arithmetic |
2 | Interpolation and quadrature |
3 | Composite quadrature rules |
4 | Nonlinear equations |
5 | Initial value problems for ODEs |
6 | Systems and boundary value problems for ODEs |
7 | LU factorisation |
8 | Error analysis and QR factorisation |
9 | Householder and least squares |
10 | PDEs including classification and separation |
11 | PDEs including finite difference |
12 | PDEs |
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Unit information based on version 2022.02 of the Handbook