For our Students

For admitted students:

Via the link below you will find useful information for before, during and after your time as a student at Umeå University.
For admitted students

Courses in Mathematics and Mathematical Statistics

Via the link below you will find courses in Mathematics and Mathematical Statistics that are taught in English. You will also find information on where and when registration will take place for each course, and a map to find your way around Campus.
Courses in Mathematics and Mathematical Statistics

Examination Schedule

TimeEdit

Overview of courses offered in english, spring 2017

Course name, link to web page Period Teacher Appl.code
Complex Analysis x x 58112
Computer Intensive Methods in Statistics x x 58308
Design of Experiments x x 58305
Financial Mathematics x 58105
The Finite Element Method x x 58121
Functional Analysis x x 58102
Integer Programming x x 58117
Introduction to Graph Theory x x 58120
Monte Carlo Methods for Financial Applications x 58118
Statistical Methods in Genetics x x 58300
Time Series Analysis and Spatial Statistics x x 58301

Overview of courses offered in english, fall 2017

Course name, link to web page Period Teacher Appl.code
Big Data and High-Dimensional Data Analysis x x Patrik Rydén 58216
Combinatorial Number Theory x x Victor Falgas Ravry 58022
Continuous Optimization x x Leif Persson 58008
Discrete Modelling x Gerold Jäger 58017
Enterprise Risk Management x x x x Markus Ådahl 58028
Inference Theory 2 x x Oleg Seleznjev 58210
Multivariate Data Analysis x x Xijia Liu 58201
Numerical Methods for PDE x x 58013
Probability Theory 2 x x Oleg Seleznjev 58208
Real Analysis x x Per Åhag 58007
Reliability Theory x x Johan Svensson, Jonas Westin 58213
Stochastic Differential Equations x x David Cohen 58020
Transform Methods x x 58023


Page Editor: Robert Johansson

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Contact Information

Umeå university
Dept of Mathematics and Mathematical Statistics
SE 901 87 Umeå, SWEDEN 

Visiting Address
MIT-building floor 3

Tel:  +46 (0)90-786 50 00

Fax:  090-786 52 22

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