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Module code: FT05 |
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4V+1U (5 hours per week) |
6 |
Semester: 2 |
Mandatory course: yes |
Language of instruction:
German |
Assessment:
Written exam 120 min.
[updated 30.09.2020]
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FT05 (P242-0064, P242-0065) Automotive Engineering, Bachelor, ASPO 01.10.2011
, semester 2, mandatory course
FT05 (P242-0064, P242-0065) Automotive Engineering, Bachelor, ASPO 01.10.2015
, semester 2, mandatory course
FT05 (P242-0064, P242-0065) Automotive Engineering, Bachelor, ASPO 01.04.2016
, semester 2, mandatory course
FT05 (P242-0064, P242-0065) Automotive Engineering, Bachelor, ASPO 01.10.2019
, semester 2, mandatory course
MAB.2.1.MAT2 (P241-0163, P241-0164) Mechanical and Process Engineering, Bachelor, ASPO 01.10.2013
, semester 2, mandatory course
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75 class hours (= 56.25 clock hours) over a 15-week period. The total student study time is 180 hours (equivalent to 6 ECTS credits). There are therefore 123.75 hours available for class preparation and follow-up work and exam preparation.
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Recommended prerequisites (modules):
FT01 Engineering Mathematics I
[updated 10.03.2020]
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Recommended as prerequisite for:
FT15 Engineering Mathematics III
[updated 10.03.2020]
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Module coordinator:
Prof. Dr. Marco Günther |
Lecturer: Dipl.-Math. Christian Leger
[updated 10.03.2020]
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Learning outcomes:
After successfully completing this module, students will: - be able to calculate with complex functions - be familiar with the basics of the Fourier transform and know how to use the Laplace transform - understand the importance and use of images and coordinate systems - be able to calculate determinants, eigenvalues and eigenvectors of matrices - be able to calculate the derivatives and integrals of functions with multiple variables
[updated 30.09.2020]
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Module content:
- Determinants - Complex functions, Fourier and Laplace transforms - Images and coordinate systems - Eigenwerte and eigenvectors of matrices - 2nd order curves and surfaces - Arc length, curvature, plane curves, space curves - Differential and integral calculus for functions with multiple variables
[updated 30.09.2020]
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Teaching methods/Media:
Lecture, exercises
[updated 30.09.2020]
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Recommended or required reading:
- Papula, Mathematik für Ingenieure und Naturwissenschaftler, Band 2+3 - Bartsch, Taschenbuch mathematischer Formeln Additional literature will be announced in the lecture.
[updated 30.09.2020]
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