Diagnosis and Prediction - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).
You can find all details on planned lectures and classes in the course catalogue.
Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.
| module properties module number 100905 - common information | |
|---|---|
| module number | 100905 |
| department | Department of Computer Science and Automation |
| ID of group | 2211 (Automation Engineering) |
| module leader | Prof. Dr. Thomas Rauschenbach |
| language | |
| term | unbekannt |
| previous knowledge and experience | |
| learning outcome | Die Studierenden sind in der Lage, technische Systeme hinsichtlich der Diagnosemöglichkeiten zu bewerten und eigenständig Lösungen für Diagnoseaufgaben zu erarbeiten. Sie sind weiterhin in der Lage Systeme und Zeitreihen hinsichtlich ihrer Vorhersagbarkeit zu analysieren und mit Hilfe systemtechnischer Methoden Vorhersagen für unterschiedliche Zeithorizonte zu realisieren. Durch die Kombination von Methoden der Diagnose und Vorehrsage lösen die Studierenden Aufgaben auf dem Gebiet der prädiktiven Diagnose. Die Studierenden wenden moderne Methoden der Prozess- und Systemanalyse sowie moderne Computersimulationssysteme an. Teamorientierung, Präsentationstechnik und Arbeitsorganisation werden ausgeprägt. |
| 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 | Diagnosis and Prediction |
| examination number | 90406 |
| credit points | 5 |
| SWS | 0 |
| on-campus program (h) | 0 |
| self-study (h) | 150 |
| obligation | elective module |
| exam | multiple performances |
| details of the certificate | |
| 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 | Diagnose- und Vorhersagesysteme |
| examination number | 90210 |
| credit points | 5 |
| on-campus program (h) | 0 |
| self-study (h) | 150 |
| obligation | elective module |
| exam | multiple performances |
| details of the certificate | |
| link to Moodle course | |
| signup details for alternative examinations | |
| maximum number of participants | |