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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
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| 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 02.06.2013]
 
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| Recommended as prerequisite for: FT15 Engineering Mathematics III
 FT17 Automotive Engineering I
 FT22 Automotive Engineering II
 FT23 Business Economics
 FT24
 
 
 [updated 21.02.2017]
 
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| Module coordinator: Prof. Dr. Marco Günther
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| Lecturer:  Prof. Dr. Marco Günther 
 [updated 20.05.2011]
 
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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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