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Postgraduate courses 19/20
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: Rebecka Jörnsten
- 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
PhD level courses