| 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 (P241-0094, P241-0095) Automotive Engineering, Bachelor, ASPO 01.10.2011, semester 4, mandatory course FT18 (P241-0094, P241-0095) Automotive Engineering, Bachelor, ASPO 01.10.2015, semester 4, mandatory course FT18 (P241-0094, P241-0095) Automotive Engineering, Bachelor, ASPO 01.04.2016, semester 4, mandatory course FT18 (P241-0094, P241-0095) Automotive Engineering, Bachelor, ASPO 01.10.2019, semester 4, mandatory course MAB.4.1.NMS (P241-0094, P241-0095) 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] |
[Thu May 26 14:17:30 CEST 2022, CKEY=mnmuns, BKEY=ee2, CID=EE-K2-540, LANGUAGE=en, DATE=26.05.2022]