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Applying Numerical Methods

Module name (EN):
Name of module in study programme. It should be precise and clear.
Applying Numerical Methods
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechanical Engineering, Bachelor, SO 01.10.2024
Module code: MEB_24_A_4.01.ANM
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.
P241-0431
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.
4V (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: 4
Mandatory course: yes
Language of instruction:
English
Assessment:
written exam 120 min

[updated 13.11.2023]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MEB_24_A_4.01.ANM (P241-0431) Mechanical Engineering, Bachelor, SO 01.10.2024 , semester 4, 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):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Marco Günther
Lecturer: Prof. Dr. Marco Günther

[updated 10.10.2023]
Learning outcomes:
After successfully completing this module, students will be familiar with important topics and application examples of numerical computing. They will be able to implement simple algorithms using the calculation tool Octave/Matlab and solve simple problems numerically. Students will understand central solution approaches from selected topics in numerical mathematics.


[updated 15.01.2024]
Module content:
Numerical methods for solving linear systems of equations with application examples in engineering, Numerical methods for solving nonlinear equations, Octave/Matlab on the computer, Interpolation (polynomial, spline interpolation), Equalization calculation, Numerical differentiation and integration, Numerical treatment of ordinary differential equations (initial value problems, boundary value problems), Introduction to Simulink on the computer (dynamic systems).

[updated 15.01.2024]
Teaching methods/Media:
Lecture, integrated exercises, exercises for self-study; Computer lab, interactive tablet, transparencies, exercises

[updated 15.01.2024]
Recommended or required reading:
A. Bosl: Einführung in Matlab/Simulink O. Beucher: Matlab und Simulink M. Knorrenschild: Numerische Mathematik H.R. Schwarz, N. Köckler: Numerische Mathematik

[updated 15.01.2024]
 
[Fri Dec 27 02:38:10 CET 2024, CKEY=manm, BKEY=meb, CID=MEB_24_A_4.01.ANM, LANGUAGE=en, DATE=27.12.2024]