PhD courses in Systems and Control
Broad introductory courses are marked as such.
PhD-level Courses during 2024
The following PhD-level courses are taught by the Division of Systems and Control during 2024:
| Course | Broad? | Responsible | Start |
|---|---|---|---|
African-European Masterclasses in AI and Computational Thinking , 5 credits |
Yes | David Sumpter | Start November 2023 |
PhD-level Courses during 2023
The following PhD-level courses are taught by the Division of Systems and Control during 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 and Per Mattsson | October 2023 |
PhD-level Courses during 2022
The following PhD-level courses are taught by the Division of Systems and Control during 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 |
PhD-level Courses during 2021
The following PhD-level courses are taught by the Division of Systems and Control during 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 |
PhD-level Courses during 2020
The following PhD-level courses are taught by the Division of Systems and Control during 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) |
PhD-level Courses during 2019
The following PhD-level courses are taught by the Division of Systems and Control during 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
The following advanced MSc-level courses are given each year by the Division of Systems and Control. Students who have not already included them in their MSc degree may take them as PhD-level courses if needed (more information here and here).
| Course | Broad? | Responsible | Time |
|---|---|---|---|
| Automatic Control II | Focused | Hans Rosth | Period 1 & 4 |
| Automatic Control III | Focused | Thomas Schön | Period 1 |
| Spectral Analysis of Signals | Focused | Marcus Björk | Period 1 |
| Statistical Machine Learning | Focused | Niklas Wahlström and David Sumpter | Period 2 & 3 |
| Advanced probabilistic machine learning | Focused | Niklas Wahlström | Period 1 |
| Reinforcement learning | Focused | Per Mattsson | Period 4 |
| Systems Analysis and Operations Research | Focused | Marcus Björk | Period 3 |
| System Identification | Focused | Kristiaan Pelckmans | Period 4 |
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
The following PhD-level courses are taught by the Division of Systems and Control 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 and 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 |