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Engineering Mathematics II

Module name (EN): Engineering Mathematics II
Degree programme: Automotive Engineering, Bachelor, ASPO 01.10.2011
Module code: FT05
Hours per semester week / Teaching method: 4V+1U (5 hours per week)
ECTS credits: 6
Semester: 2
Mandatory course: yes
Language of instruction:
Written exam 120 min.

[updated 30.09.2020]
Applicability / Curricular relevance:
FT05 Automotive Engineering, Bachelor, ASPO 01.10.2011, semester 2, mandatory course
FT05 Automotive Engineering, Bachelor, ASPO 01.10.2015, semester 2, mandatory course
FT05 Automotive Engineering, Bachelor, ASPO 01.04.2016, semester 2, mandatory course
FT05 Automotive Engineering, Bachelor, ASPO 01.10.2019, semester 2, mandatory course
MAB.2.1.MAT2 Mechanical and Process Engineering, Bachelor, ASPO 01.10.2013, semester 2, mandatory course
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.
Recommended prerequisites (modules):
FT01 Engineering Mathematics I

[updated 02.06.2013]
Recommended as prerequisite for:
FT15 Engineering Mathematics III
FT17 Automotive Engineering I
FT23 Business Economics

[updated 21.02.2017]
Module coordinator:
Prof. Dr. Marco Günther
Lecturer: Prof. Dr. Marco Günther

[updated 20.05.2011]
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]
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]
Teaching methods/Media:
Lecture, exercises

[updated 30.09.2020]
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]
[Thu Dec  2 01:14:19 CET 2021, CKEY=miib, BKEY=fz, CID=FT05, LANGUAGE=en, DATE=02.12.2021]