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

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.

PG Assessment will be based on:

• Four written assignments involving maths and programming problems  (40%; LO 1, 2, 3, 4)
• Individual project, extending application of a chosen algorithm to a mathematics or programming problem (30%; LO 1, 2, 3, 4)
• Open-book examination (30%; LO 1, 2, 3, 4)

UG Assessment will be based on:

• Five written assignments involving maths and programming problems  (70%; LO 1, 2, 3, 4)
• Open-book examination (30%; LO 1, 2, 3, 4)

36 lectures and regular tutorials/computer labs

Bachelor degree; with second year Mathematics. 

Second year Mathematics is required.