This course will introduce students to current research trends in an area of computational mathematics. Topics covered each year will vary but will cover one or more of those listed below, or even new emerging topics:Data mining algorithmsMultiscale and multilevel techniquesThe numerical solution of PDEsOptimisation, approximation in particular of high-dimensional functionsAlgorithms for the solution of linear systems of equations including iterative methods.
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Requisite and Incompatibility
To enrol in this course you need to be active in one of the following programs: the Master of Science in Mathematical Sciences, the Master of Mathematical Sciences (Advanced), the Master of Science in Astronomy and Astrophysics, or the Master of Science in Astronomy and Astrophysics (Advanced). Incompatible with MATH6201 and MATH4201.
Referenced entries (2)
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- MATH6201 · 2027 · saved source not linked
- MATH4201 · 2027 · saved source not linked
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Explain the fundamental concepts of a topic in computational mathematics and its role in modern mathematics and applied contexts.
Demonstrate accurate and efficient use of specific computational mathematics techniques.
Demonstrate capacity for mathematical reasoning through analysing, proving and explaining concepts from computational mathematics.
Conduct some (limited) independent research under expert supervision.
Published offerings
Future offerings are indicative. Only recognised 2027 sessions with a published class number are offered in the enrolment demo.
| Year | Session | Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|---|---|
| 2027 | First Semester | 4635 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |
| 2028 | First Semester | 6116 | 21 Feb 2028 | 28 Feb 2028 | 31 Mar 2028 | 26 May 2028 | In Person | N/A |
Complete offering text
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage. The list of offerings for future years is indicative only. Class summaries, if available, can be accessed by clicking on the View link for the relevant class number. 2027 2028 First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 4635 22 Feb 2027 01 Mar 2027 31 Mar 2027 28 May 2027 In Person N/A First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 6116 21 Feb 2028 28 Feb 2028 31 Mar 2028 26 May 2028 In Person N/A
Source evidence (1 saved copy)
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assets/Courses/Remained/8000/Topics in Computational Maths/Topics in Computational Maths - ANU.html
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