System Identification - Interactive curriculae of TU Ilmenau
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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Please note that this page is no longer updated.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 System Identification in degree program Master Biomedical Engineering by Research 2025 | |
|---|---|
| module number | 200090 |
| examination number | 220459 |
| department | Department of Computer Science and Automation |
| ID of group | 2211 (Automation Engineering) |
| module leader | Prof. Dr. Yuri Shardt |
| term | winter term only |
| language | Englisch |
| credit points | 5 |
| on-campus program (h) | 45 |
| self-study (h) | 105 |
| obligation | elective module |
| exam | examination performance with multiple performances |
| details of the certificate | Das Modul System Identification mit der Prüfungsnummer 220459 schließt mit folgenden Leistungen ab:
Details zum Abschluss Teilleistung 2: Pass for the laboratory component |
| link to Moodle course | |
| teacher | Prof. Dr. Shardt, Yuri |
| signup details for alternative examinations | |
| maximum number of participants | |
| previous knowledge and experience | Knowledge from the courses “Control Engineering I” |
| learning outcome | By the end of this course, students should be able to
understand the principles of creating models for complex processes using
different methods and approaches. From the lectures, they will have
learnt linear regression, nonlinear regression, design of experiments,
and time series analysis, while from the laboratory, they will have learnt
to apply the system identification framework to solve relevant
modelling and identification problems. From the lectures and laboratories, the students should have learnt how to develop and implement solutions that require the use of statistics, linear regression, and experimental design for real-world problems. They should have learnt to constructively take criticism and implement comments and suggestions from their instructors and fellow students. |
| content | The course content is: |
| media of instruction and technical requirements for education and examination in case of online participation | Presentations, Course notes, and Whiteboard lectures, online according to the regulations of TU Ilmenau, Moodle |
| literature / references | · Y. A.W. Shardt, Statistics for Chemical and Process Engineers: A Modern Approach, Springer, 2022, https://doi.org/10.1007/978-3-030-83190-5. |
| evaluation of teaching | |