Computational Engineering

Crack As technical developments become ever more complex and mathematically rooted, engineers are increasingly dependent on powerful hardware and software. As such, mastery of many computer science methods is required to successfully develop new products, compare technical solutions, or predict the impacts of design decisions.

On the basis of these insights, Computational Engineering was developed as a combination of computer science, mathematics, and engineering as interdisciplinary equal subjects in one study programme. A globally recognized discipline, the subject area develops solutions to physical problems in science and technology through mathematical models and computer systems.

Computational Materials Science is a novel discipline that combines elements of materials science, physics, and chemistry with aspects of mechanical engineering, mathematics and computer science. Many macroscopic material properties are determined by phenomena occurring at the small length and time scales accessible by computational simulations. The Technical Application Field (TAF) CMS focuses on the theoretical and conceptual principles underpinning these phenomena as well as the understanding, independent implementation, and critical application of simulation software.

 

For in-depth information, visit the programme website.

Examination regulations and study guide:

CE examination regulations (as amended January 2016)

General Examination Regulations for the Bachelor’s and Master’s degree programmes at the Faculty of Engineering (as amended August 2015)

Flyer

 

 

PD Dr.-Ing. habil. Harald Köstler, Akad. ORat

  • Job title: ERASMUS Koordinator
  • Organization: Department of Computer Science
  • Working group: Chair of Computer Science 10 (System Simulation)
  • Address:
    Cauerstraße 11
    Room 00.115
    91058 Erlangen
  • Phone number: +49 9131 85 28359
  • Fax number: +49 9131 85 28928
  • Email: harald.koestler@fau.de
  • Website:

Dr. Roberto Grosso

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