Curriculum

The standard duration of studies is four semesters, three for coursework and one for the master thesis. Studies can be taken up at the beginning of each winter semester. There is no possibility for part-time or extra-occupational enrollment.

For prerequisites and application procedure please see Application

Graphik Synthese von Modeling und Simulation © Ivo Sbalzarini Graphik Synthese von Modeling und Simulation © Ivo Sbalzarini
Graphik Synthese von Modeling und Simulation

© Ivo Sbalzarini

Degree

The title "Master of Science" (M. Sc.) is awarded with a track-specific supplement. 

Curriculum

The core curriculum teaches computational modelling (machine learning and data analysis) and computer simulation (numerical methods). The tracks cover a wide range of applications. Comprehensive mentoring is offered throughout the whole Master Program.

Currently, the following tracks are offered:

  •     Computational Life Science   
  •     Computational Mathematics
  •     Visual Computing
  •     Computational Modeling in Energy Economics
  •     Computational Engineering

The program has a modular structure consisting of an application-independent core area and the application-specific tracks. 

Graphic modular structure of the Master's Program © Ivo Sbalzarini Graphic modular structure of the Master's Program © Ivo Sbalzarini
Graphic modular structure of the Master's Program

© Ivo Sbalzarini

The core area covers (gray boxes in scheme above):

1st semester:

The supplementary module with language courses, as well as the following core modules:

  •         Statistical Principles and Experimental Design (5 credits)
  •         Basic numerical methods (5 credits)
  •         Scientific programming and high-performance computing (5 credits)
  •         Machine Learning and Data Mining (5 credits)
  •         Stochastic modeling and simulation (5 credits)
  •         Introduction to data visualization (5 credits)

At least three of these six core modules shall be selected depending on previous education. 

2nd semester:

The trans-disciplinary seminars, where two seminars from different tracks are to be selected.

3rd semester:

Research module for cross-track application of the acquired knowledge in a team project.

Each track includes (blue boxes in above scheme):

1st semester:

Application-specific introductory lectures in the scope of 10 credits from the course catalogue of the respective track.

2nd semester:

Application-specific advanced courses in the amount of 25 credits from  the course catalogue of the respective track.

3rd semester:

Application-specific advanced courses in the scope of 15 credits from the course catalogue of the respective track.

The Master's program focusses on long-lasting transferrable knowledge combined with cross-application transfer competences. The former is achieved through the universally valid content of the core modules, the latter through the cross-track seminars and the research project in a research group.

Course Catalogue of the track-specific modules:

Track Computational Life Science:

  • Computational Life Science Basics (10 credits)
  • Introduction to Biochemistry (5 credits)
  • Applied Bioinformatics (5 credits)
  • Computational Life Science Advanced (10 credits)
  • Computational Life Science Teamproject (10 credits)
  • Modeling and Simulation in Biology (5 credits)

Track Computational Mathematics Basics:

  • Computational Mathematics Basics (10 credits)
  • Finite Element Methods (prerequisite for module Modeling Case Studies, 5 credits)
  • Modeling Case Studies (10 credits)
  • Computational Mathematics Project (5 credits)
  • Computational Mathematics Advanced (10 credits)
  • Computational Mathematics Applications (10 credits)

Track Visual Computing

  • Visual Computing Basics (10 credits)
  • Visual Computing Advanced (15 credits)
  • Visual Computing Applications (15 credits)
  • Visual Computing Teamproject (10 credits)

Track Computational Modeling in Energy Economics

  • Electric Power Markets (prerequisite for modules Case Studies in Energy Economics, Literature Studies in Energy Economics and Resource Economics and Environmental Policy, 5 credits)
  • Computational Modeling in Energy Economics Basics (10 credits)
  • Case Studies in Energy Economics (10 credits)
  • Literature Studies in Energy Economics (5 credits)
  • Resource Economics and Environmental Policy (10 credits)
  • Computational Modeling in Energy Economics Advanced (10 credits)

Track Computational Engineering

  • Computational Engineering Basics (10 credits)
  • Advanced Topics in Finite Element Analysis Multifield Methods (5 credits)
  • Multibody Dynamics (5 credits)
  • Multifield Problems (5 credits)
  • Computational Fluid Dynamics (5 credits)
  • Computational Engineering Advanced (15 credits)

Mentoring

The International Master Program in Computational Modeling and Simulation provides first-grade mentoring to students on all levels, in particular:

Zu dieser Seite

Susann Gierth
Letzte Änderung: 05.06.2018