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Aim of the programme is to supply the participants within three semesters with a profound knowledge in computer simulation techniques of mechanical, civil and tissue engineering, qualifying for a computational engineer (german: Berechnungsingenieur).
Admitted are those who have a degree in engineering sciences (mechanical and civil, only), mathematics or physics, passed with a grade of "good" or better. No other studies will be accepted. Especially, Bachelor's degrees in pure computer sciences or electrical or chemical engineering or Bachelor's of Art will not be accepted. A sufficient knowledge of the german language is necessary.
The programme is structured in two semesters with lectures and computer laboratory exercises at TFH Berlin followed by a practical training in industry of 16 weeks, the master thesis of 10 weeks and the final examination. (motor car modelled by Adam Opel AG, Rüsselsheim.)
Contents are advanced mathematical and engineering techniques in essential areas of computer simulations for complex technical structures; participants are acquainted with the various, necessary industrial software systems which are considered to be state-of-the-art.(see curriculum).
Companies demand always shorter development cycles for new high-tech products which should have low costs and which should be competitive. To achieve these aims computer simulations are indispensable. This interdisciplinary knowledge is not taught in common programmes. The masters programme Computational Engineering fills this gap. (rescue helicopter modelled by P+Z Engineering GmbH, Munic.)
After having finished their studies the students will get jobs in construction and calculation departments of industry or in engineering offices. Increasing areas are tissue engineering, noise and environmental protection. (chassis of a bicycle modelled by Rotwild bei ADP-Engineering GmbH)
Many of the teaching staff at the TFH Berlin have worked as computational engineers in industry before they were appointed professor, now they have joint research and construction projects togehter with industry.
Informations:
Postal address: Technische Fachhochschule Berlin
Fachbereich II Mathematik-Physik-Chemie
Prof. Dr. N. Kalus
Luxemburger Str. 10, D-13353 Berlin
Tel. (+ 49 30) 4504 2351 oder 2213
Fax (+ 49 30) 4504 2011
E-mail: kalus@tfh-berlin.de
The curriculum Computational Engineering focus mainly on two areas:
1. numerical methods of CAE (Computer Aided Engineering), finite element method,
2. dynamics, system and control theory.
The subjects are taught using special software exercises.
(Computer algebra systems, FEM/CAD systems, software for computation and visualization).
There are additional subjects: statistics, structural optimization and optional subjects.
Postgraduate study Computational Engineering
Subjects |
kind of class
|
hours per week and semester
at the same time ECTS Credit Points |
| |
L/E/S |
O/Ch |
1 |
2 |
3* |
| Numerical Methods of CAE |
L
E |
O
O |
4
2 |
|
|
| Finite Element Method |
L
E |
O
O |
|
4
2 |
|
| Dynamics / Vibrations in Technical Systems |
L
E |
O
O |
4
2 |
|
|
| System and Control Theory |
L
E |
O
O |
|
4
2 |
|
| Statistics / Reliability Theory |
L
E |
O
O |
2
2 |
|
|
| Introduction to Optimization |
L
E |
O
O |
|
2
2 |
|
Optional Subjects I, II (Advanced Elasticity Theory ,
Computational Acoustics)
|
L
E |
Ch |
3
1 |
3
1 |
|
| Computer Algebra Software I, II |
E |
O |
2 |
2 |
|
| FEM / CAD Software I, II |
E |
O |
2 |
2 |
|
| Software for Computation and Visualisation I, II (Matlab/Simulink,
3D-Construction, o.a.) |
E |
O |
2 |
2 |
|
| EDV I, II (Networks, UNIX, Data Banks, o.a.) |
E |
O |
2 |
2 |
|
| Management sciences I, II (Project management,o.a.) |
E |
O |
2 |
2 |
|
| Seminar to Final Project (no credit points) |
S |
O |
|
|
2 |
| Total sum |
|
|
30
(15 L;15 E) |
30
(15 L;15 E) |
2
|
* During the third semester the practical training at industry and the master thesis take place.
Keys:
ECTS European Credit Transfer System
(30 Credit Points per semester, in third semester 15 for each, the practical training at industry and the master thesis )
L Lecture
E Laboratory excercise with computers (PC, workstation) and software programmes
S Seminar
O Obligatory subject
Ch Optional subject from a catalogue
Last update at 2005-05-11 by Norbert Kalus
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