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Mathematical Sciences

Postgraduate studies

Postgratuate courses

Postgraduate courses 20/21

Departments

Postgraduate courses 20/21

PhD level courses

Q1:

Singular Integral Equations. Examinator: Andreas Rosén

Q2:

Machine learning algorithms for inverse problems. Examinator: Larisa Beilina
The Hardy Littlewood Circle Method. Examinator: Kirsti Biggs

Q3:

Brownian motion. Examinator: Jeffrey Steif

Q4:

Introduction to Homogenization. Examinator: Irina Pettersson

External courses:

Statistical Inference I . Lecturers: Per Gösta Andersson , Department of Statistics, Stockholm University, e-mail: per.gosta.andersson@stat.su.se and Krzysztof Podgorski , Department of Statistics, Lund University, e-mail: Krzysztof.Podgorski@stat.lu.

PhD Courses at the Nordic Five Tech list: https://phdcourses.nordicfivetech.org

Joint MSc/PhD level courses

Integration theory, Q1
Examiners: Jeffrey Steif
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
Commutative algebra, Q1, Examiner: Per Salberger
Introduction to algebraic geometry, Q2. Examiner: Jan Stevens
Functional analysis, Q2
Examiner: Genkai Zhang
Large-scale optimization, Q2
Examiner: Ann-Brith Strömberg
Foundations of probability theory, lp 2
Examiner: Sergei Zuyev
Topology, Q3
Distribution theory, Q3. Examiner: Håkan Samuelsson Kalm.
Financial derivatives and PDE, Q3
Partial differential equations, Q4
Examiner: Axel Målqvist
Statistical inference for large data sets, Q4
Spatial statistics and image processing, Q4
Financial risk, Q4
Financial time series, Q4

Page manager Published: Tue 19 Jan 2021.