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Numerical Software

Module name (EN):
Name of module in study programme. It should be precise and clear.
Numerical Software
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2011
Module code: MST.NSW
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.
P221-0087
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+2PA (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: according to optional course list
Mandatory course: no
Language of instruction:
German
Assessment:
Case studies and micro-projects with the applications discussed

[updated 19.02.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KI672 (P221-0087) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014 , semester 6, optional course, technical
KIB-NUMS (P221-0087) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2017 , optional course, technical
MST.NSW (P221-0087) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2012 , optional course, technical
MST.NSW (P221-0087) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2019 , optional course, technical
MST.NSW (P221-0087) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2020 , optional course, technical
PIBWI92 (P221-0087) Applied Informatics, Bachelor, ASPO 01.10.2011 , semester 6, optional course, informatics specific
PIB-NUMS (P221-0087) Applied Informatics, Bachelor, ASPO 01.10.2017 , optional course, informatics specific
MST.NSW (P221-0087) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2011 , 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):
MST.MA1 Mathematics I
MST.MA2 Mathematics II


[updated 10.05.2019]
Recommended as prerequisite for:
MST.MA3 Mathematics III / Applied Mathematics


[updated 10.05.2019]
Module coordinator:
Prof. Dr. Gerald Kroisandt
Lecturer:
Dipl.-Math. Dimitri Ovrutskiy


[updated 10.05.2019]
Lab:
Applied Mathematics, Statistics, and eLearning (5306)
Learning outcomes:
After successfully completing this module, students will be able to independently implement algorithms using Matlab to solve mathematical problems, process experimental data and display this data graphically.

[updated 19.02.2018]
Module content:
- Programming in Matlab
- Types of Matlab programs
- Graphical output in 2D and 3D
- Diagrams of statistical data and measurement data
- Symbolic calculations
 
Applications:
- Numerical integration
- Regression, interpolation and approximation
- Zero and fixed-point search
- Gradient method
 
 


[updated 19.02.2018]
Teaching methods/Media:
100% of the lecture will take place in the PC lab "Angewandte Mathematik, Statistik und eLearning".  All of the practical exercises for the lecture, as well as solving exercises, homework and case studies will be done with the e-learning system MathCoach and with mathematical numerical software (AMSEL lab: PC lab: "Angewandte Mathematik, Statistik und eLearning").

[updated 24.02.2018]
Recommended or required reading:
F. und F. Grupp: MATLAB 7 für Ingenieure: Grundlagen und Programmierbeispiele
O. Beucher: MATLAB und Simulink: Grundlegende Einführung für Studenten und Ingenieure in der Praxis (z.B. Pearson Studium, 2008)
W. Schweizer: MATLAB kompakt (z.B. Oldenbourg, 2009)
Lecture notes

[updated 19.02.2018]
[Tue Dec  6 20:39:28 CET 2022, CKEY=km, BKEY=yst, CID=MST.NSW, LANGUAGE=en, DATE=06.12.2022]