Courses for Computer Simulations for Science and Engineering

The students enter one of the universities and continue the second year at one of the other universities in another country). As a general rule, students will be admitted to TU Berlin for the first year for coursework amounting to at least 60 ECTS credits. Upon request, students may enter KTH or TU Delft for their first year of studies (coursework amounting to at least 60 ECTS) if approved by PAG and endorsed by the said university. Admission for the second year can, in this case, be either TU Berlin or KTH/TU Delft as approved by PAG and endorsed by the university responsible for admitting the student to the second year.

The second-year university offers coursework (at least 30 ECTS credits) and supervision of the master's degree project (30 ECTS credits). This includes a choice of specialisation at the chosen university:

• KTH: Biocomputing, bioinformatics, machine learning, computational fluid dynamics, numerical linear algebra, computational physics, numerical analysis;
• TU Delft: computational fluid dynamics, numerical linear algebra, high-performance computing, data assimilation
• TU Berlin: Optimal Control, Control Theory, Numerical Linear Algebra, Numerical Analysis

The specialisations offered reflect some of the research areas of each institution and their spearhead competencies. A student can choose a specialisation different from the proposals above if the PAG agrees. The programme consists of core courses, preparatory courses, and elective courses. Additionally, extracurricular courses can be taken.

Joint workshop

Every year, the master's programme in Computer Simulations for Science and Engineering (COSSE) organises a joint workshop at TU Berlin where students and teachers of the COSSE programme meet. Invited guests are graduates and scientists working in academia and industry. The workshop includes scientific and cultural activities and is an excellent networking opportunity.

Year 1

TU Berlin

State. C – compulsory (mandatory), P – preparatory, E – elective

If the first year is taken at KTH, then the compulsory course “SF2524 Matrix Computations” is credited as “20835 Numerical Linear Algebra” at TUB, and the compulsory course "SF2521 Numerical Solution of Differential Equations" is credited as "20166 Numerical Mathematics II for Eng." at TUB. If no course equivalent to "20085 Scientific Computing" is completed in the first year at KTH, then this course needs to be completed in the second year at TUB.

If the first year is taken at TUD, then the mandatory course "Wi4201 Scientific Computing" is credited as "20085 Scientific Computing" at TUB. If no courses equivalent to "20835 Numerical Linear Algebra" or "20166 Numerical Mathematics II for Eng." are completed in the first year at TUD, then these courses need to be completed in the second year at TUB.

Further course information at TU Berlin

First year at KTH

Course	Credits	State
AK2030 Theory and Methodology of Science	4.5	C
SA2001 Sustainable development and research methodology in mathematics	3	C
SF2520 Applied Numerical Methods	7.5	C
SF2940 Probability Theory	7.5	C
SF2561 Finite Element Method	7.5	C
SF2524 Matrix Computations	7.5	C
SF2521 Numerical Solution of Differential Equations	7.5	C
SF2568 Parallel Computations	7.5	C
SF2822 Applied nonlinear Optimization	7.5	E
SF2525 Comp Meth for Stoch Diff Equations	7.5	E
SF2525 Numerical Methods for Stochastic Differential Equations and Machine Learning	7.5	E
SF2956 Topological data analysis	7.5	E
DD2257 Visualization	7.5	E
SF2526 Numerical Algorithms for Data-Intensive Science	7.5	E

First year at TU Delft

Course	Credits	State
TPM005A Scientific Writing for Mathematics	3	C
WM1028AM Ethics for Applied Mathematics	3	C
Wi4201 Scientific Computing	8	C
Wi4204 Advanced Modeling	6	C
Wi5205 Applied Finite Elements	6	C
WI4475 Data Assimilation	6	C
Wi4019 Non-linear Differential Equations	6	E
WI4226 Advanced Systems Theory	6	E
WI4207 Continuous Optimization	6	E
WI4209 Systems and Control	6	E
WI4221 Control of Discrete-Time Stochastic Systems	6	E
WI4450 Special Topics in Computational Science and Engineering	6	E
WI4635 Linear Algebra and Optimisation for Machine Learning	6	E
Wi4260TU Scientific Programming for Engineers	3	E
Wi4011 Computational Fluid Dynamics	6	E
In4049TU Intro to High-Performance Computing	6	E
WI4212 Advanced Numerical Methods	6	E
WI4655 Perturbation and Variational Methods for PDE	6	E
WI4771TU OOP with C++	3	E

A maximum of 3 ECTS credits can be used for language courses (from a restricted list).

Course information on the TU Delft website

Year 2

The second-year universities offer many possibilities for specialisation in different topics of CSE. The mandatory master's degree project (30 ECTS credits) can be carried out at host departments, other departments at host universities, or companies. The following list provides an overview of elective courses. You can choose according to your interest, prerequisites, and the subject of the degree project. The list is not exhaustive. Moreover, not all courses may be given every year. They include:

KTH

TU Delft

Second year at TUB may have mandatory courses depending on first year studies. See above.

Course information on the TU Delft website

Extracurricular courses

These are courses offered which are of a general nature. Examples of them are language courses. Please observe that not all of the courses will give credits to be accounted for in the final degree. Such courses can be taken both in the first and second years. It is advisable that individual study plans are agreed upon. It must be secured that the individual study plan fulfils the examination requirements of both the first and the second year universities.

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MSc Computer Simulations for Science and Engineering