Here you can find information about doctoral courses given by the department of mathematics and mathematical statistics earlier semesters.
2018/2019
Partial differential equations - Åke Brännström Advanced algebra - Gerold Jäger Mathematical Biology - Åke Brännström Study circle on the book "Theoretical Foundations of Functional Data Analysis, with an introduction to Linear Operators" by Hsing and Eubank - Sara Sjöstedt de Luna Short course on how to do/give a poster presentation - David Cohen
2017/2018
Random geometric graphs - Amites Sarkar & Victor Falgas Ravry Integration theory - Per Åhag Wavelet methods in statistics and signal processing
2016/2017
Numerical methods for SDE - David Cohen & Michael Tretyakov Classical random graphs - Klas Markström Large networks and general random graphs - Victor Falgas-Ravry Functional analysis - Klas Markström Combinatorial number theory - Victor Falgas-Ravry Advanced statistical modeling - Natalya Pya Compressive Sensing - Zhiyong Zhou & Jun Yu Statistical learning with sparsity - Zhiyong Zhou & Jun Yu Big data and analysis of high dimensional data - Patrik Rydén
2015/2016
Real analysis - Per Åhag Discret modeling - Gerold Jäger Analysis on manifolds - Per Åhag Graph theory - Roland Häggkvist Asymptotics - Klas Markström Statistics for spatio-temporal data - Ottmar Cronie & Sara Sjöstedt-de Luna Advanced probability theory - Jun Yu
