Study programmes
For the Master's degree the main programs are Mathematics for Applications and Computational Mathematics. The group is also very central in the work on the CSE (Computing in Science and Education) project at the Faculty of Mathematics and Science, which is focused on introducing an overall computational perspective in science.
Courses taught by us
In addition to teaching MAT-INF1100 and MAT1120, the CM group teaches the following courses:
Courses in PDEs
- MAT3360 — Introduction to Partial Differential Equations. This is the introductory PDE course. It treats basic existence and uniqueness results as well as some numerical methods.
- MAT4301 — Partial differential Equations. This course is a continuation of MAT3360, but may be taken independently of MAT3360. Here you will learn more classical theory and techniques for PDEs in \(n\) dimensions.
- MAT4305 — Partial differential equations and Sobolev spaces I, a third course in PDEs which also contains an introduction to Sobolev spaces and their role in the modern theory of PDEs.
- MAT4315 — Partial differential equations and Sobolev spaces II, the continuation of MAT4305. The exact content can vary, but usually covers calculus of variations, time dependent problems and Galerkin approximations.
- MAT-IN9240 — Numerical analysis of PDEs. A course given when sufficient interest and resources are available.
Courses in numerical analysis and optimisation
- MAT3100 — Lineær optimering
- MAT3110 — Innføring i numerisk analyse
- MAT3360 — Innføring i partielle differensialligninger
- MAT4120 — Matematisk optimering
- MAT4130 — Numerisk analyse
- MAT4160 — Emner i geometrisk modellering
- MAT4170 — Spline metoder
- MAT9120 — Mathematical Optimization
- MAT9170 — Spline methods