| Offered By: |
Department of Maths |
| Academic Career: |
Graduate Coursework |
| Course Subject: |
Mathematics |
| Offered in: |
First Semester, 2010 and Second Semester, 2010 |
| Unit Value: |
6 units |
| Course Description: |
This course will introduce students to current research trends in an area of computational mathematics. Possible Topics: - Data mining algorithms
- Multiscale and multilevel techniques
- Numerical solution of PDEs, ie. Finite Element Method
- Optimisation
- Approximation in particular of high-dimensional functions
- Algorithms for the solution of linear systems of equations including iterative methods
Note: Graduate students attend joint classes with undergraduates but will be assessed separately. |
| Learning Outcomes: |
On satisfying the requirements of this course, students will have the knowledge and skills to: 1. Explain the fundamental concepts of a special topic in computational mathematics and its role in modern mathematics and applied contexts. 2. Demonstrate accurate and efficient use of specific computational mathematics techniques. 3. Demonstrate capacity for mathematical reasoning through analysing, proving and explaining concepts from computational mathematics. |
| Indicative Assessment: |
Assessment will be based on: - Three assignments (20% each; LO 1-3)
- Final examination (40%; LO 1-3)
|
| Course Classification(s): |
and |
| Areas of Interest: |
Mathematics |
| Eligibility: |
Bachelor degree; with third year Mathsematics. |
| Requisite Statement: |
Third year Mathematics is required. |
| Consent Required: |
Please contact admin.teaching.msi@anu.edu.au for consent to enrol in this course. |
| Programs: |
Master of Mathematical Sciences |
| Academic Contact: |
Dr Stephen Roberts |