**Ph.D. courses given at our department:**

**Q1:**

**Classic papers in numerics**(7.5 credits). Examiner: David Cohen

During lp1 (2021-08-30 to 2021-10-31, not more than 2 hours a week)

Details and registration:

https://fubasdoc.gu.se/

https://fubasdoc.gu.se/fubas-

**Q2:**

**Numerical methods and machine learning algorithms for solution of Inverse Problems**(7.5 credits). Examiner: Larisa Beilina.

**FUBAS registration later**

**Q3:**

**Piecewise deterministic Markov processes and continuous-time Monte Carlo**(7.5 credits). Examiner:

Moritz Schauer

Details and FUBAS registration later**Q4:**

**Calculus of Variation**(7.5 credits). Examiner: Simone Calogero

**Courses available all year:**

- Seminar course in mathematics (7.5 credits, available for students in the graduate school mathematics)
- Seminar course in mathematical statistics (7.5 credits, available for students in the graduate school mathematical statistics)
- Seminar course in applied mathematics and mathematical statistics (7.5 credits, available for students in the applied graduate school)

The syllabus for the seminar courses will soon be available

**External courses:**

**Courses joint PhD/Master given at our department:**

Here are lists of courses in mathematics and mathematical
statistics that are joint PhD/Master-level courses. Not all of these
courses are given every year. To find information about the courses and
when they are given, see the two linked webpages below.

Math courses (MMA-codes):

https://www.chalmers.se/en/departments/math/education/university-of-gothenburg/courses/mathematics/Pages/default.aspx

- MMA100 Topology
- MMA110 Integration theory
- MMA120 Functional analysis
- MMA130 Theory of distributions
- MMA201 Representation theory
- MMA211 Advanced differential calculus
- MMA310 Galois theory
- MMA320 Introduction to algebraic geometry
- MMA330 Commutative algebra
- MMA350 Algebraic number theory
- MMA410 Fourier and wavelet analysis
- MMA430 PDE
- MMA511 Large-scale optimization
- MMA600 Numerical linear algebra
- MMA620 High performance computing
- MMA630 Computational methods for SDE
- MMA711 Financial derivatives and PDE

Mathematical statistics courses (MSA- and MSF- codes):

- MSA101 Computational methods for Bayesian statistics
- MSA150 Foundations of probability
- MSA220 Statistical inference for large data sets
- MSA301 Spatial statistics and image processing
- MSA350 Stochastic analysis
- MSA400 Financial risk
- MSA410 Financial time series
- MSF100 Statistical inference principles