| Module name (EN): Numerical Mathematics and Numerical Simulation |
| Degree programme: Energy system technology / Renewable energies, Bachelor, ASPO 01.04.2015 |
| Module code: EE-K2-540 |
| Hours per semester week / Teaching method: 4V (4 hours per week) |
| ECTS credits: 5 |
| Semester: 5 |
| Mandatory course: no |
| Language of instruction: German |
| Assessment: Written exam 120 min. [updated 30.09.2020] |
| Applicability / Curricular relevance: DFBME-412 Mechanical Engineering, Bachelor, ASPO 01.10.2019, semester 4, mandatory course EE-K2-540 Energy system technology / Renewable energies, Bachelor, ASPO 01.04.2015, semester 5, optional course, engineering FT18 Automotive Engineering, Bachelor, ASPO 01.10.2011, semester 4, mandatory course FT18 Automotive Engineering, Bachelor, ASPO 01.10.2015, semester 4, mandatory course FT18 Automotive Engineering, Bachelor, ASPO 01.04.2016, semester 4, mandatory course FT18 Automotive Engineering, Bachelor, ASPO 01.10.2019, semester 4, mandatory course MAB.4.1.NMS Mechanical and Process Engineering, Bachelor, ASPO 01.10.2013, semester 4, mandatory course |
| 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. |
| Recommended prerequisites (modules): EE301 [updated 20.07.2015] |
| Recommended as prerequisite for: EE-K2-514 EE-K2-515 [updated 16.07.2015] |
| Module coordinator: Prof. Dr. Marco Günther |
| Lecturer: Prof. Dr. Marco Günther [updated 20.07.2015] |
| Learning outcomes: After successfully completing this course, students will: - solve fundamental problems using the principles of numerics and standard numerical methods - use their newly acquired practical knowledge in problem solving to engineer simulations of dynamic systems - be able to use MATLAB - develop calculation programs - program and use MATLAB script files and Simulink model files [updated 30.09.2020] |
| Module content: Linear algebra: Definition of linear systems of equations, Application examples in engineering, Numerical solution methods: direct solvers, iterative solvers Nonlinear equations: Determining a zero point, Nonlinear systems Introduction to Matlab using a computer Interpolation: Newton polynomials, Spline functions Approximation (linear discrete Gaussian approximation) Numerical differentiation and integration Ordinary differential equations: Initial value problems, boundary value problems Introduction to Simulink on the computer [updated 30.09.2020] |
| Teaching methods/Media: Lecture notes, PowerPoint presentation/handouts, exercises [updated 30.09.2020] |
| Recommended or required reading: - Bartsch H.-J.: Taschenbuch Mathematischer Formeln - Beucher O.: MATLAB und Simulink - Faires J.D., Burden R.L.: Numerische Methoden - Schwarz H.R., Köckler N.: Numerische Mathematik [updated 30.09.2020] |
[Mon Nov 29 13:57:09 CET 2021, CKEY=mnmuns, BKEY=ee2, CID=EE-K2-540, LANGUAGE=en, DATE=29.11.2021]