|
|
Module code: DFBME-412 |
|
4V (4 hours per week) |
5 |
Semester: 4 |
Mandatory course: yes |
Language of instruction:
German |
Assessment:
Written exam 120 min.
[updated 30.09.2020]
|
DFBME-412 (P610-0331, P610-0549, P610-0570, P610-0571) Mechanical Engineering, Bachelor, ASPO 01.10.2019
, semester 4, mandatory course
DFBME-412 (P610-0331, P610-0549, P610-0570, P610-0571) Mechanical Engineering, Bachelor, ASPO 01.10.2024
, semester 4, mandatory course
EE-K2-540 Energy system technology / Renewable energies, Bachelor, ASPO 01.04.2015
, semester 5, optional course, engineering
FT18 (P241-0094, P241-0095) Automotive Engineering, Bachelor, ASPO 01.10.2011
, semester 4, mandatory course
FT18 (P241-0094, P241-0095) Automotive Engineering, Bachelor, ASPO 01.10.2015
, semester 4, mandatory course
FT18 (P241-0094, P241-0095) Automotive Engineering, Bachelor, ASPO 01.04.2016
, semester 4, mandatory course
FT18 (P241-0094, P241-0095) Automotive Engineering, Bachelor, ASPO 01.10.2019
, semester 4, mandatory course
MAB.4.1.NMS (P241-0094, P241-0095) Mechanical and Process Engineering, Bachelor, ASPO 01.10.2013
, semester 4, mandatory course
|
60 class hours (= 45 clock hours) over a 15-week period. The total student study time is 150 hours (equivalent to 5 ECTS credits). There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
|
Recommended prerequisites (modules):
None.
|
Recommended as prerequisite for:
|
Module coordinator:
Prof. Dr. Marco Günther |
Lecturer: Prof. Dr. Marco Günther
[updated 09.08.2020]
|
Learning outcomes:
After successfully completing this course, students will: - solve fundamental problems using the principles of numerics and standard numerical methods - use their newly acquired practical knowledge in problem solving to engineer simulations of dynamic systems - be able to use MATLAB - develop calculation programs - program and use MATLAB script files and Simulink model files
[updated 30.09.2020]
|
Module content:
Linear algebra: Definition of linear systems of equations, Application examples in engineering, Numerical solution methods: direct solvers, iterative solvers Nonlinear equations: Determining a zero point, Nonlinear systems Introduction to Matlab using a computer Interpolation: Newton polynomials, Spline functions Approximation (linear discrete Gaussian approximation) Numerical differentiation and integration Ordinary differential equations: Initial value problems, boundary value problems Introduction to Simulink on the computer
[updated 30.09.2020]
|
Teaching methods/Media:
Lecture notes, PowerPoint presentation/handouts, exercises
[updated 30.09.2020]
|
Recommended or required reading:
- Bartsch H.-J.: Taschenbuch Mathematischer Formeln - Beucher O.: MATLAB und Simulink - Faires J.D., Burden R.L.: Numerische Methoden - Schwarz H.R., Köckler N.: Numerische Mathematik
[updated 30.09.2020]
|