This course introduces important algorithms and techniques of scientific computing, focussing on the areas of linear algebra and optimisation, and presenting both theoretical and practical aspects of the algorithms. The course is highly relevant to students from disciplines such as science, engineering or economics where skills in numerical computations are important.

Honours Pathway Option (HPO):

To do this option, students must have completed MATH2405 or MATH2320 or MATH3116. HPO students will learn more about the theoretical aspects of the underlying algorithms, and will be assessed appropriately.

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. Use sophisticated scientific computing and visualisation environments to solve application problems
2. Analyse and intrepret results produced by computer algorithms
3. Explain the effects of errors in computation and how such errors affect solutions
4. Demonstrate the necessary analytical background for further studies leading to research in applied mathematics or related disciplines

Assessment will be based on:

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

Prerequisite is MATH2305 or MATH2405 or MATH2320 or STAT2001 or MATH3116.