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 Lotka-Volterra 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

Data-analysis with SAS

Computational statistics II

Generalized linear models II

Survey methodology and European statistical system

High dimensional statistics

Time-series analysis I

Register-based 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 data-analysis

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 4.9-22.10

Examination and independent study week 23.10-29.10

II teaching period 30.10-17.12

Examination and independent study week 18.12-22.12

Spring term

Intensive period 2.1-14.1

III teaching period 15.1-4.3

Examination and independent study week 5.3-11.3

IV teaching period 12.3-6.5

Examination and independent study week 7.5-13.5

Intensive period 7.5-31.5