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Applying of Numerical Methods

Module name (EN): Applying of Numerical Methods
Degree programme: Mechanical and Process Engineering, Bachelor, ASPO 01.10.2019
Module code: MAB_19_A_4.01.ANM
Hours per semester week / Teaching method: 4V (4 hours per week)
ECTS credits: 5
Semester: 4
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam 120 min.

[updated 05.11.2020]
Curricular relevance:
MAB_19_A_4.01.ANM Mechanical and Process Engineering, Bachelor, ASPO 01.10.2019, semester 4, mandatory course
Workload:
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):
MAB_19_A_3.01.MA3


[updated 10.03.2020]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Marco Günther
Lecturer: Prof. Dr. Marco Günther

[updated 28.05.2018]
Learning outcomes:
After successfully completing this module, students will be familiar with important topics and application examples of numerical computing. They will be able to implement simple algorithms using the calculation tool Octave/Matlab and solve simple problems numerically. Students will understand central solution approaches from selected topics in numerical mathematics.

[updated 05.11.2020]
Module content:
Numerical methods for solving linear systems of equations with application examples in engineering, Numerical methods for solving nonlinear equations, Octave/Matlab on the computer, Interpolation (polynomial, spline interpolation), Equalization calculation, Numerical differentiation and integration, Numerical treatment of ordinary differential equations (initial value problems, boundary value problems), Introduction to Simulink on the computer (dynamic systems).

[updated 05.11.2020]
Teaching methods/Media:
Lecture, integrated exercises, exercises for self-study;
Computer lab, interactive tablet, transparencies, exercises

[updated 05.11.2020]
Recommended or required reading:
A. Bosl: Einführung in Matlab/Simulink
O. Beucher: Matlab und Simulink
M. Knorrenschild: Numerische Mathematik
H.R. Schwarz, N. Köckler: Numerische Mathematik

[updated 05.11.2020]
[Tue Sep 28 05:40:26 CEST 2021, CKEY=manmidm, BKEY=m2, CID=MAB_19_A_4.01.ANM, LANGUAGE=en, DATE=28.09.2021]