Study year 1

Master's Programme, Applied and Computational Mathematics, 120 credits (TTMAM), Programme syllabus for studies starting in autumn 2019

The following courses are part of study year one.

The course application codes and study periods are valid for the academic year 2019/2020. 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.

The list of recommended courses is those that we think you will need for your future career.

Mandatory Appl.code cr. Study period
 1   2   3   4 
AK2040 Theory and Methodology of Science with Applications Computational Science) 51551 7.5 7.5
SF2940 Probability Theory 50348 7.5 7.5
SF2520 Applied Numerical Methods 50326 7.5 3.0 4.5


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
SF2832 Mathematical Systems Theory 50346 7.5 7.5
SF2863 Systems Engineering 50347 7.5 7.5
SF2812 Applied Linear Optimization 60044 7.5 7.5

Recommended Appl.code cr. Study period
 1   2   3   4 
DD2257 Visualization 51036 7.5 7.5
DD2435 Mathematical Modelling of Biological Systems 50258 9.0 6.0 3.0
SF2565 Program Construction in C++ for Scientific Computing 50332 7.5 3.5 4.0
DD2434 Machine Learning, Advanced Course 50241 7.5 7.5
SF1811 Optimization 50255 6.0 6.0
DD2421 Machine Learning 60110 7.5 7.5
SF2526 Numerical algorithms for data-intensive science 60271 7.5 7.5
SG2212 Computational Fluid Dynamics 60285 7.5 7.5
SF2525 Computational Methods for Stochastic Differential Equations and Machine Learning 60268 7.5 4.0 3.5
DD2356 Methods in High Performance Computing 60141 7.5 7.5
DD2365 Advanced Computation in Fluid Mechanics 60669 7.5 7.5
SG2224 Applied Computational Fluid Dynamics 60293 5.0 5.0

Specialisations

Track, Computational Mathematics (COMA)

At least 3 conditionally elective course have to be studied.

At least one of SF2521 and SF2561 has to be studied.


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
SF2567 Project Course in Scientific Computing 50343 7.5 3.7 3.8
SF2521 Numerical Solutions of Differential Equations 60258 7.5 3.7 3.8
SF2525 Computational Methods for Stochastic Differential Equations and Machine Learning 60268 7.5 4.0 3.5
SF2568 Parallel Computations for Large- Scale Problems 60269 7.5 3.0 4.5
DD2365 Advanced Computation in Fluid Mechanics 60669 7.5 7.5

Track, Mathematics of Data Science (DAVE)

At least two conditionally elective courses has to be studied furing year 1 or 2: Compulsory courses + conditionally elective courses = 30 cr.

Mandatory Appl.code cr. Study period
 1   2   3   4 
SF2955 Computer Intensive Methods in Mathematical Statistics 60260 7.5 7.5


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
SF2526 Numerical algorithms for data-intensive science 60271 7.5 7.5
SF2930 Regression Analysis 60172 7.5 7.5
DD2352 Algorithms and Complexity 60319 7.5 4.5 3.0
SF2525 Computational Methods for Stochastic Differential Equations and Machine Learning 60268 7.5 4.0 3.5
SF2568 Parallel Computations for Large- Scale Problems 60269 7.5 3.0 4.5
SF2943 Time Series Analysis 60175 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 
SF2701 Financial Mathematics, Basic Course 60259 7.5 7.5


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
SF2930 Regression Analysis 60172 7.5 7.5
SF2943 Time Series Analysis 60175 7.5 7.5

Track, Optimization and Systems Theory (OPST)


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
SF2866 Applied Systems Engineering 51053 7.5 7.5
SF2832 Mathematical Systems Theory 50346 7.5 7.5
SF2863 Systems Engineering 50347 7.5 7.5
SF2812 Applied Linear Optimization 60044 7.5 7.5
SF2842 Geometric Control Theory 60310 7.5 7.5
SF2822 Applied Nonlinear Optimization 60286 7.5 7.5