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Faculty of Mathematics and Natural ScienceComputational Sciences

Course List

Various courses are offered accross the Faculty of Mathematics and Natural Sciences that are available for the Elective Area in Mathematics/Computer Science and the Areas of Specialization within the Computational Sciences program. The course offers for each module may vary from year to year. Find below a list of courses with annotations that shall help you choosing suitable courses for your studies.

Note: Many, but not all, course titles as listed in KLIPS have the same name as the corresponding modules they belong to. Some modules offer multiple courses, in which case usually only one course needs to be passed in order to complete the module.

 

Elective Mathematics and Computer Science Area

Module Name

Credit Points

Course Title

Offered

Comment

Functional Analysis

9

Functional analysis

SS

  

Selected Topics of Applied Analysis

9

Introduction to partial differential equations

SS

  

Geometry in Physics

9

Geometry in Physics

variable

very theoretical

Elementary Differential Geometry

variable

more computational,
in German only

Mathematics in Theoretical Physics

6

-

-

  

Einführung in die Numerische Mathematik

9

Introduction to Numerical Methods for Partial Differential Equations

WS

in German only

Numerische Mathematik

SS

in German only

Numerical Mathematics Seminar

6

Seminar on methods of mathematical modeling in life sciences

variable

  

Selected Topics of Numerical Mathematics

9

Performance-Engineering

variable

  

Scientific Computing: Introduction to Atmospheric Flow Simulation

SS

  

Numerische Strömungsmechanik

WS

  

Introduction in Climate Modeling

variable

  

High Performance Computing

6

Introduction to High-Performance Computing

WS

  

Advanced High-Performance Computing

SS

  

Compute Continuum

SS

  

Heterogeneous and parallel computing

WS

  

Convex Optimization

9

Convex Optimization

variable

  

Methods and problems in discrete mathematics

9

Methods and problems in discrete mathematics

variable

  

Probability Theory 2

9

Probability Theory II

variable

  

Selected Topics of Stochastics

9

Random graphs

variable

planned in SS 25,
highly specialised

Probability Theory I

SS

  

Gaussian random fields

variable

  

Statistics

6

Statistics

every 3 years

planned in SS 26

Probability Theory, Stochastic Processes and Network Science

9

Probability Theory and Stochastic Pocesses for Physicists

variable

  

Introduction to Network Science

variable

  

Complex Networks and Energy Grids

variable

  

Information Theory and Statistical Physics

6

-

-

  

Efficient Algorithms

9

Efficient Algorithms

WS

  

Quantum Computing

6

Quantum Information Theory

WS

also offered in SS 24

Empirical Software Engineering

6

-

-

  

Requirements Engineering

9

Requirements Engineering

SS

  

Visual Analytics

9

Visual Analytics

SS

  

Data and Information Science

9

Machine Learning

SS

  

Advanced Machine Learning

WS

  

Deep Learning

variable

  

Data Analysis and Fourier Transform

9

-

-

  

Inverse Modelling

6

Inverse Modelling (IM) - Lecture

SS

  

Programming in a Scientific Environment with C++

9

-

SS

block course (6 weeks),
sign up with lecturer M. Hanrath,
offered when enough participants

Qualitative Methods in Theoretical Physics

9

-

-

  

Mathematics Seminar

6

various

variable

  

Computer Science Seminar

6

various

variable

  

Other

  

Introduction to Statistical Learning

    

 

Areas of Specialization

Long-Term Planning

Please note that these courses are offered and coordinated at different departments accross the Faculty of Mathematics and Natural Science. Therefore, the course offers as stated in the module handbook are not always up-to-date with the current course availabilities. In order to plan your curriculum as Computational Sciences students, please refer to the course offer lists for each area, that are updated regularly:

Please note: the course availabilities on these lists are not binding and only meant as a guide for your long-term planning. Always double-check the course catalogue in KLIPS2.0!