Courses

Active courses

PhD course, Statistical machine learning
PhD course, Sequential Monte Carlo methods
Master’s course, Statistical machine learning
PhD course, Exit from postgraduate studies



Current and upcoming courses

PhD course, Sequential Monte Carlo methods, Vrije Universitet Brussel, October, 2017, Brussels, Belgium.
Master’s course, Statistical machine learning, Uppsala University, January - March, 2018, Uppsala, Sweden.
PhD course, Machine Learning, Uppsala University, March - June, 2018, Uppsala, Sweden.


Previous courses (2010 - present)

PhD courseSequential Monte Carlo methods, Uppsala University, August, 2017.

PhD course (guest lecture in the course “Autonomous systems” in the Wallenberg Autonomous Systems Program, WASP), KTH, October 27, 2016, Stockholm, Sweden. [Video] [Slides 1] [Slides 2]

Tutorial, Learning nonlinear dynamical models using particle filters, March 20, 2016, The 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China [Lecture 1][Lecture 2][Lecture 3][Lecture 4][paper][exercises][data].

PhD course, Statistical Machine Learning at Uppsala University (2014 and 2016), Linköping University (2013 and  2011) and Lund University (2011).

PhD course, Exit from postgraduate studies at Uppsala University, 2016.

Intensive courseLearning nonlinear dynamical models using particle filters, November 13, 2015, Adelaide, Australia. [Theory][Lecture 1][Lecture 2][Lecture 3][Lecture 4][Exercises][data].

PhD courseNonlinear system identification using SMCSummer School on Foundations and advances in stochastic filtering, June 22-25, 2015, Barcelona, Spain. [Theory][Lecture 1][Lecture 2][Lecture 3][Lecture 4][Exercises][data]

The CARS project, for more inforamtion, click here.

PhD course (guest lecture in the course Identification of nonlinear dynamical systems), Sequential Monte Carlo methods for system identification, June 8, 2015, Brussels, Belgium. [Theory][Lecture 1][Lecture 2][Lecture 3][Lecture 4][Exercises][data]

PhD course, Solving inference problems using sequential Monte CarloChalmers Machine Learning Summer School, April, 2015, Göteborg, Sweden. [slides] [homework] [data]

Master’s course, Automatic control III, Uppsala University 2013-2016.

PhD course, Advanced Bayesian learning, Linköping University, April - May, 2014.

PhD course, Computational learning in dynamical systems, at Universidad Técnica Federico Santa María (UTFSM), Valparíso, Chile (January 2014), the Royal institute of technology, Stockholm, Sweden (November 2012), the University of Sydney, Sydney, Australia, (October 2012) and Vrije Universiteit Brussel, Bressels, Belgium (June 2012).

PhD course (guest lecturer), Least Squares Estimation and SLAM at Sapienza University of Rome, Rome, Italy, 2011.

Master's course, Digital Signal Processing, Linköping University, 2009-2012.

Undergraduate course, Automatic Control, Linköping University, 2006-2013.


Information about all the courses offered at the Division of Systems and Control is available here.

 © Thomas Schön 2017