This course is aimed at students studying in science, engineering or economics who need to understand both the theoretical and practical aspects of the important algorithms and techniques of scientific computing, focussing on the areas of linear algebra. Students are encouraged to apply their learning to a specific research problem of their choosing.Note: Graduate students attend joint classes with undergraduates but will be assessed separately
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Requisite and Incompatibility
Incompatible with MATH3512
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
Referenced entries (1)
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- MATH3512 · 2027 · saved source not linked
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
On satisfying the requirements of this course, students will have the knowledge and skills to: 1. Use sophisticated scientific computing and visualization environments to solve application problems involving matrix computation algorithms. 2. Analyze numerical algorithms, and understand the relationships between the computational effort and the accuracy of these algorithms. 3. Interpret the results produced by computer implementations of numerical algorithms. 4. Explain the effects of errors in computation and how such errors affect solutions. 5. Demonstrate the necessary analytical background for further studies leading to research in applied mathematics or related disciplines.
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 | Second Semester | 9774 | 26 Jul 2027 | 02 Aug 2027 | 31 Aug 2027 | 29 Oct 2027 | 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 Second Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 9774 26 Jul 2027 02 Aug 2027 31 Aug 2027 29 Oct 2027 In Person N/A
Source evidence (1 saved copy)
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