The following courses are part of study year one.
The course application codes and study periods are valid for the academic year 2021/2022. For other academic years, different application codes and study periods may apply.
General courses
The programme is given in cooperation with KTH, TU Delft and TU Berlin.
Conditionally elective course shall be chosen after agreement with the director of the programme. In the first study year, out of the conditionally elective courses, 2 must be selected. In the second study year, 4 courses out of the conditionally elective courses must be selected.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| SF2561 The Finite Element Method | 50480 | 7.5 hp | 7.5 | |||
| SF2940 Probability Theory | 50206 | 7.5 hp | 7.5 | |||
| SF2520 Applied Numerical Methods | 50389 | 7.5 hp | 3.0 | 4.5 | ||
| SF2524 Matrix Computations for Large-scale Systems | 50477 | 7.5 hp | 7.5 | |||
| SF2521 Numerical Solutions of Differential Equations | 60274 | 7.5 hp | 3.7 | 3.8 | ||
| SF2568 Parallel Computations for Large- Scale Problems | 60153 | 7.5 hp | 3.0 | 4.5 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2257 Visualization | 50478 | 7.5 hp | 7.5 | |||
| SF2526 Numerical algorithms for data-intensive science | 60346 | 7.5 hp | 7.5 | |||
| SF2525 Computational Methods for Stochastic Differential Equations and Machine Learning | 60345 | 7.5 hp | 4.0 | 3.5 | ||
| SF2822 Applied Nonlinear Optimization | 60133 | 7.5 hp | 7.5 |