### Planned graduate courses at Mathematical Sciences 2019/2020

N.B.: All our courses are, unless stated otherwise, in principle open to everyone, there is no official limit on the number of participants. Any course can be taken for credit by any graduate student at Mathematical Sciences. Other students should obtain permission from an appropriate person of authority if they wish to take a course for credit.

### Registering for courses

From Spring 2019, the following procedures apply for Ph.D. students who wish to take either a pure MSc level course or a joint MSc/PhD course.

- apply to the course by contacting the course examiner

- register to the exam:

- via Doktorandportalen (if you are a Chalmers PhD)

- by sending an e-mail to utb-adm.mv@chalmers.se (GU PhD)

- the course will be registered when the result is reported in Ladok

For Ph.D. students taking a GU course:

- apply to the course via antagning.se. To simplify the procedure, you can include a

certificate from your supervisor indicating that the course will be counted as a PhD course.

- receive an email från Jeanette Montell-Westerlin with more information

- register to the course via Ladok

- register to the exam via Ladok

If the course is common between Chalmers and GU (has both a Chalmers and GU code),

Chalmers Ph.D. students follow the Chalmers procedure and GU Ph.D. students the GU procedure.

### Joint MSc/PhD level courses

- Integration theory, Q1

Examiners: Jeffrey Steif and Maria Roginskaya - Representation theory, Q1

Examiner: Hjalmar Rosengren - Numerical linear algebra, Q1

Examiner: Larisa Beilina - High performance computing, Q1

Examiner: Martin Raum - Computational methods for Bayesian statistics, Q1

Examiner: Petter Mostad - Stochastic analysis, Q1

Examiner: Patrik Albin - Functional analysis, Q2

Examiner: Genkai Zhang - Galois theory, Q2

Examiner: Alexander Stolin - Fourier and wavelet analysis, Q2

Examiner: Mohammad Asadzadeh - Large-scale optimization, Q2

Examinerr: Ann-Brith Strömberg - Foundations of probability theory, lp 2

Examiner: Sergei Zuyev - Project course in mathematical modelling, Q2

Examiner: Alexei Heintz - Project course in statistical modelling, Q2

Examiner: Alexei Heintz - Computational methods for stochastic differential equations, Q3

Examiner: Annika Lang - Topology, Q3

Examiner: Jeffrey Steif - Financial derivatives and PDE, Q3

Examiner: Simone Calogero - Advanced differential calculus, Q3

Examiner: Daniel Persson - Algebraic number theory, Q3

Examiner: Martin Raum - Design and analysis of clinical trials, Q3

Examiner: Ziad Taib - Principles of statistical inference, Q3

Examiner: Annika Lang - Analysis in several complex variables, Q4

Lecturers: Elizabeth Wulcan (examiner) and Richard Lärkäng - Partial differential equations, Q4

Examiner: Axel Målqvist - Statistical inference for large data sets, Q4

Lecturer: Felix Held

Examiner: Annika Lang - Spatial statistics and image processing, Q4

Examiner: TBD - Financial risk, Q4

Examiner: Holger Rootzen - Financial time series, Q4

Lecturer: TBD

Examiner: Annika Lang - Stochastic processes, Q4

Examiner: Michael Björklund

### Other courses

- Harmonic analysis of measures, Q1-2

Examiner: Maria Roginskaya - Topics in time-series analysis: old to new, Q1-2

Lecturer: Richard Davis (visiting professor)

Examiner: Holger Rootzen - Introduction to inverse and ill-posed problems, begins Q2

Examiner: Larisa Beilina - Finite element methods, Q3

Examiner: Axel Målqvist - Algebraic topology, Q3

Examiner: Jan-Alve Svensson - Singular integral equations, Q4

Examiner: Andreas Rosen - Seminar course I (mathematical statistics), continuous

Contakt: Johan Tykesson - Seminar course II (mathematical statistics), continuous

Contakt: Johan Tykesson