Course Manual AM
Applied Mathematics
PDF Course Catalog Deutsche Version: AM
Version: 2 | Last Change: 12.02.2021 13:24 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
| Long name | Applied Mathematics |
|---|---|
| Approving CModule | AM_BaET |
| Responsible |
Prof. Dr. Beate Rhein
Professor Fakultät IME |
| Valid from | winter semester 2021/22 |
| Level | Bachelor |
| Semester in the year | winter semester |
| Duration | Semester |
| Hours in self-study | 96 |
| ECTS | 5 |
| Professors |
Prof. Dr. Beate Rhein
Professor Fakultät IME |
| Requirements | Apply basic mathematical knowledge, especially functions and differential calculus Be able to apply methods of linear algebra Apply basic concepts of programming |
| Language | German |
| Separate final exam | Yes |
Literature
| Knorrenschild: Numerische Mathematik (Fachbuchverlag) |
| Papula: Mathematik für Ingenieure und Naturwissenschaftler, Band 1+2 (Vieweg) |
Final exam
| Details | The theoretical basics and the associated calculation methods are tested in a written exam. The programming skills required to implement an algorithm are tested in a programming test. |
|---|---|
| Minimum standard | Both parts of the examination must be passed with at least 4.0. The written exam and the programming test are included proportionally in the module grade. The weighting is currently 70% for the written exam and 30% for the programming test. |
| Exam Type | EN andere summarische Prüfungsform |
Learning goals
| Goal type | Description |
|---|---|
| Knowledge | Computer arithmetic Error calculation, condition of a matrix Gaussian algorithm with column pivoting Interpolation Root finding algorithms (bisection, Newton, variants of Newton, fixed point iteration) Iteration methods for systems of linear equations Regression analysis Probability theory |
| Skills | be able to estimate the propagation of measurement errors be able to apply and code numerical algorithms be able to set up trend functions be able to handle probabilities |
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Lecture | 2 |
| Exercises (whole course) | 1 |
| Exercises (shared course) | 0 |
| Tutorial (voluntary) | 0 |
Special requirements
| none |
| Accompanying material |
Lecture slides online Exercises online Teaching videos online Instructions for programming online |
|---|---|
| Separate exam | No |
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