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Courses and tutorials


I am currently planning to take the following PhD courses during my studies.

Year Course name Credits (ECTS) Status
2013 Fall Networked Control and Multi-Agent Systems 3 Completed
Matrix Analysis 8 Completed
2014 Spring Gaussian Process Winter School - Completed
2014 Introduction to Convex Optimization (CVX101) 6 Completed
System Identification 9+3 Completed
2014 Summer Deep Learning 3 Completed
2014 Fall Dynamic Systems 9 Ongoing
Stochastic Processes 8 Completed
2015 Spring Development Program for PhD Students, Step I - Completed
Probability Theory 5 Completed
Methodology of Science and Technology 4 Completed
State space models and particle methods 2.5 Completed
2015 Summer Machine Learning Summer School 4 Completed
2015 Fall Research Ethics 2 Completed
Introduction to Machine Learning 6 Completed
2016 Spring Learning and Knowledge 6 Completed
2016 Fall Foundations of Graphical Models 9 Completed
2017 Spring Applied Causality 9 Completed
Bayesian Nonparametrics 9 Completed
2017 Fall Robust Multivariable Control 9 Completed
Reinforcement Learning 6 Completed

Total requirement 120
Completed 111.5

The coursework is a mix of courses in Mathematics, Automatic Control and Mathematical Statistics. A pedagogical and scientific methodology course are also required for applying for a PhD degree at Linköping University. The requirements for applying for a Licentiate and PhD degree at our department are 60 (one year coursework) and 120 (two years coursework) ECTS credits.

Christian Andersson Naesseth

PhD Student in Automatic Control

(Swedish: Doktorand i reglerteknik)

+46 13 281087
Dept. of Electrical Engineering
Linköping University
SE-581 83 Linköping
Visiting Address:
Campus Valla
Building B
Room 2A:522 (in the A corridor on the ground floor between entrance 25 and 27)

Page responsible: Christian Andersson Naesseth
Last updated: 2018-03-06