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Mathematics III

Module name (EN):
Name of module in study programme. It should be precise and clear.
Mathematics III
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Industrial Engineering, Bachelor, ASPO 01.10.2013
Module code: WIBASc-525-625-FÜ27
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: 5
Mandatory course: no
Language of instruction:
German
Assessment:
Written exam

[updated 13.09.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

WIBASc-525-625-FÜ27 Industrial Engineering, Bachelor, ASPO 01.10.2013 , semester 5, optional course, technical
WIB21-WPM-T-111 (P450-0068) Industrial Engineering, Bachelor, ASPO 01.10.2021 , optional course, technical
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):
WIBASc165 Mathematics I
WIBASc265 Mathematics II


[updated 20.01.2020]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Frank Kneip
Lecturer:
Michael Ohligschläger


[updated 20.01.2020]
Learning outcomes:
After successfully completing this module, students will have a basic understanding of the higher mathematical methods presented in the course. They will have the skills necessary to
use these methods in real situations. Students will be able to analyze real problems with regard to the methods presented.  
Number series, power series, function series (especially Fourier series) and Taylor series.

[updated 13.09.2018]
Module content:
Fourier and Laplace transform. Ordinary differential equations, mainly linear differential equations of the nth order and linear differential equation systems. Optional: higher-dimensional integration. Application of the above areas to technical and economic problems (based on examples).

[updated 13.09.2018]
Teaching methods/Media:
Lecture coupled with exercises. Media used: mainly blackboard and occasionally a projector (CAS calculations).

[updated 13.09.2018]
Recommended or required reading:
L. Papula: Mathematik für Ingenieure und Naturwissenschaftler Bände 1, 2 und 3
Fetzer/Fränkel: Mathematik Bände 2 und 3
H. Stöcker: Analysis für Ingenieurstudenten Band 2

[updated 13.09.2018]
 
[Thu Apr 18 20:27:02 CEST 2024, CKEY=wmi, BKEY=wi2, CID=WIBASc-525-625-FÜ27, LANGUAGE=en, DATE=18.04.2024]