Fuzzy and Neuro Control - Interactive curriculae of TU Ilmenau
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| module properties module number 100723 - common information | |
|---|---|
| module number | 100723 |
| department | Department of Computer Science and Automation |
| ID of group | 2211 (Automation Engineering) |
| module leader | Prof. Dr. Yuri Shardt |
| language | |
| term | unbekannt |
| previous knowledge and experience | |
| learning outcome | Aneignung von Kenntnissen und praktischen Fertigkeiten beim Entwurf von Fuzzy- und Neuro-Systemen zur Anwendung auf den Gebieten der Modellbildung, des Entwurfs regelungstechnischer Systeme und der Lösung von Klassifikationsaufgaben in wissensbasierten Entscheidungshilfesystemen. Kennenlernen von Basismechanismen und Anwendungsgebieten von Evolutionären Algorithmen. |
| content | |
| media of instruction and technical requirements for education and examination in case of online participation | |
| literature / references | |
| evaluation of teaching | |
| Details reference subject | |
|---|---|
| module name | Fuzzy and Neuro Control |
| examination number | 90200 |
| credit points | 5 |
| SWS | 0 |
| on-campus program (h) | 0 |
| self-study (h) | 150 |
| obligation | obligatory module |
| exam | multiple performances |
| details of the certificate | siehe Fachbeschreibung |
| link to Moodle course | |
| teacher | |
| signup details for alternative examinations | |
| maximum number of participants | |
| Details in degree program Master Technische Kybernetik und Systemtheorie 2014 | |
|---|---|
| module name | Fuzzy und Neuro Control |
| examination number | 90211 |
| credit points | 5 |
| on-campus program (h) | 0 |
| self-study (h) | 150 |
| obligation | elective module |
| exam | multiple performances |
| details of the certificate | siehe Fachbeschreibung |
| link to Moodle course | |
| signup details for alternative examinations | |
| maximum number of participants | |