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Mathematics 2

Module name (EN): Mathematics 2
Degree programme: Mechanical and Process Engineering, Bachelor, ASPO 01.10.2019
Module code: MAB_19_A_2.04.MA2
Hours per semester week / Teaching method: 4V (4 hours per week)
ECTS credits: 5
Semester: 2
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam 120 min.

[updated 05.10.2020]
Curricular relevance:
MAB_19_A_2.04.MA2 Mechanical and Process Engineering, Bachelor, ASPO 01.10.2019, semester 2, mandatory course
Workload:
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.
Recommended prerequisites (modules):
MAB_19_A_1.04.MA1 Mathematics 1


[updated 10.03.2020]
Recommended as prerequisite for:
MAB_19_A_3.01.MA3
MAB_19_A_3.04.SKS Engineering Fluid Mechanics, Piston Engines, Compressors and Turbines
MAB_19_A_4.02.WFL Heat Transfer and Fluid Mechanics
MAB_19_M_5.17.AUM Automation Technology in Mechanical Engineering
MAB_19_V_5.16.AUV Automation Technology in Process Engineering


[updated 10.03.2020]
Module coordinator:
Prof. Dr. Marco Günther
Lecturer:
Dipl.-Math. Christian Leger


[updated 10.03.2020]
Learning outcomes:
After successfully completing this module, students will have broadened their technical and methodological knowledge of mathematics with a view to a wider field of application in mechanical engineering/process engineering.
 
They will understand the importance of coordinate transformations and will be able to apply them in a specific field, e.g. in the strength of materials field.
Students will be able to handle complex numbers and have insight into a variety of applications, e.g. in electrical engineering. Students will be able to convert mathematical methods in the context of linear algebra and analysis involving functions with multiple variables and implement them using a mathematical tool.

[updated 05.10.2020]
Module content:
Determinants, functions and coordinate systems, eigenwerte and eigenvectors, complex numbers, 2nd order curves and surfaces, arc length, curvature, differential and integral calculus for functions with multiple variables (e.g. moments of area, moments of inertia), use of a mathematical software tool such as Octave/Matlab, wxMaxima

[updated 05.10.2020]
Teaching methods/Media:
Lecture, exercises in the lecture, self-study exercises;
Blackboard, handouts, transparencies, exercises

[updated 05.10.2020]
Recommended or required reading:
H.-J. Bartsch: Taschenbuch mathematischer Formeln für Ingenieure und Naturwissenschaftler
L. Papula: Mathematik für Ingenieure und Naturwissenschaftler, Band 1+2
J. Koch, M. Stämpfle: Mathematik für das Ingenieurstudium

[updated 05.10.2020]
[Tue Sep 28 06:27:46 CEST 2021, CKEY=mm2, BKEY=m2, CID=MAB_19_A_2.04.MA2, LANGUAGE=en, DATE=28.09.2021]