Courses and tutorials

Courses

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.