<?xml version="1.0" encoding="ISO-8859-1" standalone="yes" ?>
<document>
<title>Applying Numerical Methods</title>
<cid>MEB_24_A_4.01.ANM</cid>
<sapsubmodule>P241-0431</sapsubmodule>
<bkey>meb</bkey>
<ctypes>
<hours>4</hours>
<type>V</type>
</ctypes>
<cp>5</cp>
<semester>4</semester>
<mandatory>yes</mandatory>
<language>English</language>
<exam>written exam 120 min</exam>
<curriculum>
<curriculum_entry>
<cid>MEB_24_A_4.01.ANM</cid>
<branch>Mechanical Engineering</branch>
<semester>4</semester>
<mandatory_tag>mandatory course</mandatory_tag>
</curriculum_entry>
</curriculum>
<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.</workload>
<prerequisites>
</prerequisites>
<prerequisitesfor>
</prerequisitesfor>
<convenor>Prof. Dr. Marco Günther</convenor>
<convenor-person-key>mgu</convenor-person-key>
<lecturers>
<lecturer>Prof. Dr. Marco Günther</lecturer>
<lecturer-person-key>mgu</lecturer-person-key>
</lecturers>
<objectives>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.
Students will improve their subject-related technical English skills. Students will know the subject-specific English terms.
</objectives>
<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).</content>
<media>Lecture, integrated exercises, exercises for self-study; Computer lab, interactive tablet, transparencies, exercises</media>
<literature>A. Bosl: Einführung in Matlab/Simulink O. Beucher: Matlab und Simulink M. Knorrenschild: Numerische Mathematik H.R. Schwarz, N. Köckler: Numerische Mathematik</literature>
<offered>
</offered>
<moduldb-query>Sun Jun 14 22:17:24 CEST 2026, CKEY=manm, BKEY=meb, CID=[?], LANGUAGE=en, DATE=14.06.2026</moduldb-query>
</document>
