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| Module code: MST2.MA3 |
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4V (4 hours per week) |
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5 |
| Semester: 3 |
| Mandatory course: yes |
Language of instruction:
German |
Assessment:
Written exam 120 min.
[updated 02.12.2025]
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MST2.MA3 (P231-0003) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2019
, semester 3, mandatory course
MST2.MA3 (P231-0003) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2020
, semester 3, mandatory course
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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.
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Recommended prerequisites (modules):
MST2.MA1 Mathematics 1 MST2.MA2 Mathematics 2
[updated 12.04.2021]
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Recommended as prerequisite for:
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Module coordinator:
Prof. Dr. Gerald Kroisandt |
Lecturer: Prof. Dr. Gerald Kroisandt
[updated 01.10.2020]
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Learning outcomes:
After successfully completing this module, students will be able to use Taylor series for different qualitative and approximate estimations of problems in electrical engineering and be familiar with the computational techniques needed to use a Fourier series to describe temporally periodic processes. They will have well-founded knowledge and the corresponding technical skills for investigating electrotechnical problems with the help of the Laplace transform. Students will be able to systematically solve systems of coupled differential equations using this method and their knowledge about linear systems of equations and thus, be able to examine smaller systems analytically. By understanding the “eigenvalue” or characteristic value problem, students will have acquired initial knowledge about collective variables in mechanical and electrical systems, which will also allow them to better understand complex electrotechnical systems.
[updated 02.12.2025]
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Module content:
The “eigenvalue” or characteristic value problem Motivation Characteristic polynomial of a matrix Calculations with eigenvalues, eigenvectors, eigenspaces Eigenvalue theory of hermitian and symmetric matrices Diagonalization, principal axis theorem Infinite series Series with constant terms Function series Power series Taylor series Fourier series Fourier and Laplace transforms The Fourier transform The Laplace transform Inverse transformation methods Comparison of the Fouriere and the Laplace transform Applications
[updated 02.12.2025]
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Teaching methods/Media:
Blackboard, video projector, transparencies as lecture notes
[updated 02.12.2025]
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Recommended or required reading:
- Papula, Mathematik für Ingenieure und Naturwissenschaftler, Band 2+3 - Meyberg und Vachenauer, Höhere Mathematik, Band 1+2 - Bartch, Taschenbuch mathematischer Formeln
[updated 02.12.2025]
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