Numerical Analysis, Course Requirements
To obtain a master's degree in mathematics with specialisation in numerical analysis, the following course requirements apply from the autumn semester 2020.
The following courses are compulsory:
Course code | Course name, credits | Term, period, study pace |
|---|---|---|
| NUMN27 | Numerical Analysis: Seminar Course, 7.5 cr | Autumn P1, 50% |
| NUMN32 | Numerical Methods for Differential Equations, 7.5 cr | Autumn P2, 50% |
At least 30 higher education credits of the courses must be courses in mathematics at advanced level among the courses below.
Course code | Course name, credits | Term, period, study pace |
|---|---|---|
| NUMN21 | Advanced Course in Numerical Algorithms with Python/SciPy, 7.5 cr | Autumn P1, 50% |
| NUMN26 | Simulation Tools, 7.5 cr | Spring P1, 50% |
| NUMN28 | Numerical Simulations of Flow Problems, 7.5 cr | Spring P2, 50% |
| NUMN33 | Numerical Methods for Partial Differential Equations, 7.5 cr | Spring P1, 50% |
| MATM12 | Analytic Functions, 15 cr | Autumn, 50% |
| MATM37 | Ordinary Differential Equations 2, 7.5 cr | Spring P1, 50% |
| MATM38 | Fourier Analysis, 7.5 cr | Spring P2, 50% |
| MATP35 | Linear Functional Analysis, 7.5 cr | Autumn, 25% |
| MATP36 | Partial Differential Equations, 7.5 cr | Spring P2, 50, %even years |
| MATP45 | Specialised Course in Linear Functional Analysis, 7.5 cr | Autumn, 25% |
The elective courses comprise 45 credits, of which at least 15 credits must be additional courses in mathematics, numerical analysis and mathematical statistics. A maximum of 30 credits may be courses at the basic level. The department has a wide range of courses in mathematical statistics and there is also a large range of relevant courses in applied mathematics that are given by the department of mathematics at the Faculty of Engineering. Courses in mathematics and numerical analysis at upper-basic level that have not been included in the student's bachelor's degree can be included in this block. For example, the courses Computational Programming with Python (NUMA01, 7.5 credits) and Numerical Linear Algebra (NUMB11, 7.5 credits) are available.
Relavant courses in mathematics, numerical analysis and mathematical statistics are listed under Course Offerings available on the left menu.
The programme ends with a degree project that can be carried out at half study pace during the second year or at full study pace in the last semester within the programme.
- NUMM03 Numerical analysis: Degree project - master's degree 30 credits
Older course requirements
For students admitted to the programme before the autumn semester 2020, the following course requirements apply, see links below: