Doctoral courses

The Department of Mathematics and Mathematical Statistics offers several doctoral courses each year. These courses aim to provide doctoral students with a broad knowledge of the research subject and more specific knowledge needed in particular research projects. Beyond the courses that are listed below, it is possible to sometimes (in consultation with the supervisor, the director of studies or the PhD student coordinator) read and be examined on other courses, such as the courses given in our master's programmes (Mathematics, Mathematical Statistics) with an adaption to the doctoral level, or doctoral courses from other universities.  

The following courses are planned for 2025:

• Erdős-Ko-Rado combinatorics of strongly regular graphs, 5 ECTS, Sergey Goryainov, January-February 2025
• Optimal Transport, 7.5 ECTS, Jakob Hultgren, March-April 2025

The following courses are planned for 2024:

• Advanced Statistical Inference II, 7.5 ECTS, Jun Yu, January 2024.
• Spread Measures, Sunflowers and Thresholds, 7.5 ECTS, Victor Falgas-Ravry, January-May 2024
• High Dimensional Density Estimation by HMM-VB for Clustering and Classification, 1.5 ECTS, Jia Li, May 20-22, 2024.
• Optimal Transport: Algorithms and Applications in Machine Learning, 1.5 ECTS, Jia Li, June 17-19, 2024.
• Constructions in Ramsey and Sparse Turán Theory, 7.5 ECTS, Victor Falgas-Ravry, June-December 2024.  
• Advanced Techniques in Probabilistic Combinatorics, 10 ECTS, Victor Falgas-Ravry, June-December 2024.
• Advanced Probability Theory, 7.5 ECTS, Jun Yu, September-October, 2024
• Fundamental Mathematical Models in Evolution, 7.5 ECTS, Eric Libby, October 2024.
• Nonlinear Dynamics and Chaos, 7.5 ECTS, Eric Libby, October 2024.

The following courses were given in 2023:

• Introduction to Symmetries of Differential Equations, 4 ECTS, Fredrik Ohlsson, February - April
• Advanced Probability Theory, 7.5 ECTS, Jun Yu, April - June
• First-Order Methods in Optimization with Applications to Machine Learning, 7.5 ECTS, Alp Yurtsever, May - August
• Advanced Statistical Inference I, 7.5 ECTS, Jun Yu, October 2023.
• Discrete Modelling, 7.5 ECTS, Gerold Jäger & Jonas Westin, October - November 2023.
• Representation Theory, 7.5 ECTS, Axel Flinth & Fredrik Ohlsson, November - December 2023

The following courses were given in 2022:

• Advanced Statistical Inference, 15 ECTS, Jun Yu, February 2022.
• Abstract Polytopes, Groups and Incidence Geometries, 5 ECTS, Dimitri Leemans, March 2022.
• Differential Geometry, 7.5 ECTS, Per Åhag, August 2022.
• Mathematical Ecology, 7.5 ECTS, Åke Brännström, September 2022.

The following courses were given in 2021:

• Advanced Statistical Inference II, 7.5 ECTS, Jun Yu, January 2021.
• Optimisation on Manifolds, 7.5 ECTS, Per Åhag, February 2021.
• Fundamental Mathematical Models in Evolution, 7.5 ECTS, Eric Libby, April 2021.
• Stationary Stochastic Processes, 9 ECTS, Jun Yu, April 2021.
• Experimental Mathematics with Computers, 5 ECTS, Klara Stokes, November 2021.

The following courses were given in 2020:

• Advanced Probability Theory, 7.5 ECTS, Jun Yu.
• Machine Learning, 7.5 ECTS, Armin Eftekhari.
• Advanced Statistical Inference I, 7.5 ECTS, Jun Yu, October 2020.

Additional information:

• In addition to the courses above, there is a PhD student seminar series that can give you course credits.
• Information about the generic doctoral courses given by the Faculty of Science and Technology.
• Courses given by the University library.