Study year 2

Master's Programme, Applied and Computational Mathematics, 120 credits (TTMAM), Programme syllabus for studies starting in autumn 2017

The following courses are part of study year two.

The course application codes and study periods are valid for the academic year 2018/2019. For other academic years, different application codes and study periods may apply.

General

General courses

At least one of the conditionally elective courses has to be studied. The course/courses can be studies either during year one or two.

Note that due to overlap it is not possible to select both SF2935 and DD2421.


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
SF2832 Mathematical Systems Theory 7.5 7.5
SF2863 Systems Engineering 7.5 7.5

Optional Appl.code cr. Study period
 1   2   3   4 
DD2421 Machine Learning 7.5 7.5
SF2561 The Finite Element Method 7.5 7.5
SF2852 Optimal Control Theory 7.5 7.5
SF2866 Applied Systems Engineering 7.5 7.5
SF2935 Modern Methods of Statistical Learning 7.5 7.5
SF2942 Portfolio Theory and Risk Management 7.5 7.5
DD2358 Introduction to High Performance Computing 7.5 4.0 3.5
DD2435 Mathematical Modelling of Biological Systems 9.0 6.0 3.0
BB2280 Molecular Modeling 7.5 7.5
BB2300 Computational Chemistry 7.5 7.5
BB2441 Bioinformatics 7.5 7.5
SF1811 Optimization 6.0 6.0
SF2524 Matrix Computations for Large-scale Systems 7.5 7.5
SF2980 Risk Management 7.5 7.5

Specialisations

Track, Computational Mathematics (COMA)

Mandatory Appl.code cr. Study period
 1   2   3   4 
SF2561 The Finite Element Method 7.5 7.5
SF2524 Matrix Computations for Large-scale Systems 7.5 7.5

Track, Financial Mathematics (FMIA)

Among the conditionally elective courses at least one course from each year has to be studied: SF2943 or SF2930 and SF2975 or SF2980.

Mandatory Appl.code cr. Study period
 1   2   3   4 
SF2942 Portfolio Theory and Risk Management 7.5 7.5


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
SF2975 Financial Derivatives 7.5 7.5
SF2980 Risk Management 7.5 7.5

Track, Optimization and Systems Theory (OPSA)

At least 3 of the conditionally elective courses on the track has to be studied in addition to the already choosen conditionally elective course in the base block.


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
SF2852 Optimal Control Theory 7.5 7.5
SF2866 Applied Systems Engineering 7.5 7.5
SF2832 Mathematical Systems Theory 7.5 7.5
SF2863 Systems Engineering 7.5 7.5

Track, Statistical Learning and Data Analytics (SIDA)

At least one conditionally elective course has to be studied.

Mandatory Appl.code cr. Study period
 1   2   3   4 
SF2935 Modern Methods of Statistical Learning 7.5 7.5


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
SF2956 Topological Data Analysis 7.5 7.5
SF2957 Statistical Machine Learning 7.5 7.5