coursemapLoading course
Mathematical Sciences Institute · ANU College of Systems and Society
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 algorithms - Multiscale and multilevel techniques - The numerical solution of PDEs - Optimisation, approximation in particular of high-dimensional functions - Algorithms for the solution of linear systems of equations including iterative methods.
Three assignments
Learning outcomes 1, 2, 3, 4
Final examination
Learning outcomes 1, 2, 3
The expected workload will consist of approximately 130 hours throughout the semester including: • Face-to face component which may consist of 12 x 3 lectures per semester (36 total hours) and 12 x 1 hours of tutorials/workshops/labs throughout the semester. • Approximately 82 hours of self-directed study which will include preparation for lectures and other assessment tasks. The exact workload distribution will vary from year to year.
There are no required texts.