Teaching programme for autumn/spring 20172018
The preliminary timetable for courses offered in autumn/spring 2017/2018:
Mathematics AND APPLIED MATHEMATICS 


Course  Scope  Period 
Clifford analysis Complexity theory Functional analysis Harmonic analysis I Introduction to algebraic topology Large cardinals Mathematical modelling Partial differential equations II Risk theory Topology II Dependence logic Dynamics of LotkaVolterra systems Fourier analysis I Mathematical finance I Probability theory I Real analysis I Fourier analysis II Mathematical finance II Probability theory II Optimal stochastic control with applications to finance Adaptive dynamics Algebra II Analytic Number Theory Axiomatic set theory Bayesian inversion Hamiltonian dynamics History of mathematics Introduction to differential geometry Introduction to mathematical physics Mathematical logic Models of arithmetic Partial differential equations I Real analysis II Spectral theory Complex analysis I Advanced risk theory Stochastic analysis I Topics in probability I Complex analysis II Stochastic analysis II Tariff theory Topics in probability II Master's thesis seminar 
5 10 10 10 10 5 10 10 10 10 5 5 5 5 5 5 5 5 5 5 10 10 10 10 10 10 5 10 10 10 10 10 10 10 10 5 5 5 10 5 5 5 5 
I and II periods I and II periods I and II periods I and II periods I and II periods I and II periods I and II periods I and II periods I and II periods I and II periods I period I period I period I period I period I period II period II period II period II period III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III and IV periods III period III period III period III period IV period IV period IV period IV period All periods 
Statistics AND SOCIAL STATISTICS 

Course  Scope  Period 
Computational statistics I Statistical inference III Survey sampling Dataanalysis with SAS Computational statistics II Generalized linear models II Survey methodology and European statistical system High dimensional statistics Timeseries analysis I Registerbased data analysis Demographic analysis Analysis of complex surveys Nonparametric and robust methods Advanced course in Bayesian statistics Trends in biostatistics and bioinformatics Phylogenetic inference and dataanalysis Modelling molecular evolution 
5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 
I period 2017 I period 2017 I period 2017 I period 2017 I period 2017 II period 2017 II period 2017 II period 2017 II period 2017 II period 2017 II period 2017 III period 2018 III period 2018 III period 2018 III period 2018 IV period 2018 IV period 2018

Link to Life science informatics Master's programme courses
The teaching periods for academic year 2017/2018 are:
Autumn term
I teaching period 4.922.10
Examination and independent study week 23.1029.10
II teaching period 30.1017.12
Examination and independent study week 18.1222.12
Spring term
Intensive period 2.114.1
III teaching period 15.14.3
Examination and independent study week 5.311.3
IV teaching period 12.36.5
Examination and independent study week 7.513.5
Intensive period 7.531.5