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

**Q1:**

Canonical metrics on Kähler manifolds and holomorphic vector bundles. (Q1-Q2)

Examiner: Lars Martin Sektnan

Information and registration: https://fubasdoc.gu.se/fubasextern/info?kurs=NFMV025

**Q2:**

**Lie groups, Lie algebras and representations**

Examiners: Genkai Zhang and Clemens Weiske

Information and registration: https://fubasdoc.gu.se/fubasextern/info?kurs=NFMV022

**Statistical Climatology**

Examiner: Peter Guttorp (guest professor)

Information and registration: https://fubasdoc.gu.se/fubasextern/info?kurs=NFMV023

Numerical methods and machine learning algorithms for solution of Inverse problems

Examiner: Larisa Beilina.

Information and registration: https://fubasdoc.gu.se/fubasextern/info?kurs=NFMV020

**Q3:**

**Advanced topics in probability**

New course joint with masters (code MSF600) which will be given every second year

Examiner: Jeff Steif

Registration not in FUBAS. Follow procedure for signing up for masters courses. Registration should open on 15th of September.

**Q4:**

**Calculus of variations**

Examiner: Simone Calogero

**Number theory in function fields**

Examiners: Anders Södergren and Patrick Meisner

**Modern topics in probability theory**

Examiners: Michael Björklund, Jakob Björnberg and Johan Tykesson

**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
- MMA140 Spectral theory and operator algebras
- MMA150 Complex analysis in several variables
- MMA201 Representation theory
- MMA211 Advanced differential calculus
- MMA310 Galois theory
- MMA320 Introduction to algebraic geometry
- MMA330 Commutative algebra
- MMA340 Analytic number theory
- 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
- MSF200 Stochastic processes