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Engineering Mathematics II

Module name (EN): Engineering Mathematics II
Degree programme: Automotive Engineering, Bachelor, ASPO 01.04.2016
Module code: FT05
SAP-Submodule-No.: P242-0064, P242-0065
Hours per semester week / Teaching method: 4V+1U (5 hours per week)
ECTS credits: 6
Semester: 2
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam 120 min.

[updated 30.09.2020]
Applicability / Curricular relevance:
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
Workload:
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 14.07.2015]
Recommended as prerequisite for:
FT15 Engineering Mathematics III


[updated 14.07.2015]
Module coordinator:
Prof. Dr. Marco Günther
Lecturer:
Dipl.-Math. Christian Leger


[updated 14.07.2015]
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]
[Wed Oct  5 18:23:33 CEST 2022, CKEY=miib, BKEY=fz3, CID=FT05, LANGUAGE=en, DATE=05.10.2022]