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Mathematics 2

Module name (EN):
Name of module in study programme. It should be precise and clear.
Mathematics 2
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechanical and Process Engineering, Bachelor, ASPO 01.10.2019
Module code: MAB_19_A_2.04.MA2
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P241-0002
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V+2U (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 2
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam 120 min.

[updated 05.10.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MAB_19_A_2.04.MA2 (P241-0002) Mechanical and Process Engineering, Bachelor, ASPO 01.10.2019 , semester 2, mandatory course
MAB_24_A_2.04.MA2 Mechanical and Process Engineering, Bachelor, SO 01.10.2024 , semester 2, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
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 11.07.2024]
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 04.10.2024]
Module coordinator:
Prof. Dr. Marco Günther
Lecturer:
Dipl.-Math. Christian Leger
Dr. Stephan Schaeidt


[updated 11.07.2024]
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]
 
[Mon Dec 23 02:37:31 CET 2024, CKEY=mm2, BKEY=m2, CID=MAB_19_A_2.04.MA2, LANGUAGE=en, DATE=23.12.2024]