PhD courses in Systems and Control
Broad introductory courses are marked as such.
PhD-level courses
Courses offered 2023
Course | Broad | Responsible | Start |
|---|---|---|---|
Data to Decisions, 6+3 credits | Yes | Dave Zachariah | Jan 2023 |
| Deep Learning, 5+3 credits | Yes | Niklas Wahlström Joakim Lindblad | March 2023 |
Large-scale optimization, 5+3 credits | Yes | Jens Sjölund Sebastian Mair | September 2023 |
| Great Ideas in Learning & Control Theory, 5 credits | Yes | Dave Zachariah André Teixeira Sergio Pequito Per Mattsson | October 2023 |
Courses offered 2022
Course | Broad | Responsible | Start |
|---|---|---|---|
| A computational introduction to stochastic differential equations | No | Zheng Zhao | 17/10/2022 |
Dynamic models of social influence networks | Yes | Alexander Medvedev | 19-23/09/2022 |
Courses offered 2021
Course | Broad | Responsible | Start |
|---|---|---|---|
| Convex optimization, 5+3 credits | Yes | Jens Sjölund | October 2021 |
| Seminar Course: The unreasonable effectiveness of overparameterized machine learning models, 3 credits | No | Antonio Ribeiro Dave Zachariah Per Mattsson | September 2021 |
| Sequential Monte Carlo methods, 6 credits | No | Thomas Schön | August 2021 |
| Deep Learning, 5+3 credits | Yes | Niklas Wahlström | March 2021 |
Courses offered 2020
Course | Broad | Responsible | Start |
|---|---|---|---|
| Reinforcement learning, 5+3 credits | Yes | Per Mattsson | late spring 2020 |
| Statistical Learning and Inference for Data Science, 9+3 credits | Yes | Dave Zachariah | September 2020 (preliminary) |
Courses offered 2019
Course | Broad | Responsible | Start |
|---|---|---|---|
| Deep Learning, 5+3 credits | Yes | Niklas Wahlström | March 2019 |
| Sequential Monte Carlo methods, 5 credits | No | Johan Alenlöv | August 2019 |
MSc-level courses
PhD-level Courses Elsewhere
There are also relevant courses at other places. See for example:
- Centre for Interdisciplinary Mathematics, Uppsala University
- Department of Mathematics, Uppsala University
- Department of Automatic Control, KTH
- Department of Signal Processing, KTH
- Applied and computational mathematics, KTH
PhD-level courses during 2018
Course | Broad | Responsible | Start |
|---|---|---|---|
| Probabilistic Machine Learning, 5+3 credits | Yes | Thomas Schön | March 2018 |
| Statistical Estimation Theory and Its Applications, 9+3 credits | Focused | Dave Zachariah | September 2018 |
PhD-level courses during 2017
Course | Responsible | Start |
|---|---|---|
| Sequential Monte Carlo | Fredrik Lindsten Thomas Schön | August 2017 |
| Reinforcement Learning | Kristiaan Pelckmans | October 2017 |
PhD-level courses during 2016
Course | Responsible | Start |
|---|---|---|
| Statistical Machine Learning | Thomas Schön | January 2016 |
| Network dynamics | Giacomo Como | April 2016 |
| Statistical Estimation Theory and Its Applications | Dave Zachariah | Fall 2016 |
PhD-level courses during 2013-2015
Course | Responsible | Start |
|---|---|---|
| Stochastic dynamic systems | Torsten Söderström | September 2015 |
| Foundations of Machine Learning | Kristiaan Pelckmans | September 2015 |
| Statistical Machine Learning | Thomas Schön | January 2014 |
| Stochastic dynamic systems | Torsten Söderström | September 2013 |
PhD-level courses before 2013
Course | Responsible | Start |
|---|---|---|
| Compressive Sensing with Structured Matrices | Holger Rauhut | Autumn 2012 |
| Next Generation Bioinformatics Tools | Hesham H. Ali | September 2012 |
Nonlinear System Identification and its Applications | Er-Wei Bai | June 2011 |
| Linear Systems | Torsten Söderström | January 2011 |