Technische Universität Ilmenau

System Identification - Modultafeln of TU Ilmenau

The Modultafeln have a pure informational character. The legally binding information can be found in the corresponding Studienplan and Modulhandbuch, which are served on the pages of the course offers. Please also pay attention to this legal advice (german only). Information on place and time of the actual lectures is served in the Vorlesungsverzeichnis.

subject properties System Identification in major Master Research in Computer & Systems Engineering 2016
subject number101402
examination number2200507
departmentDepartment of Computer Science and Automation
ID of group 2211 (Automation Engineering Group)
subject leaderProf. Dr. Yuri Shardt
term Wintersemester
credit points5
on-campus program (h)34
self-study (h)116
examwritten examination performance, 120 minutes
details of the certificate
Signup details for alternative examinations
maximum number of participants
previous knowledge and experience

Lecture ‘Control Engineering’

learning outcome

By the end of this course, the students should be able to understand the principles of creating models for complex system using different methods and approaches, including linear and nonlinear regression, design of experiments, and time series analysis. The students should understand the system identification framework and be able to apply to relevant modelling examples.


The course content is:

1. Data Visualisation

2. Statistical Tests

3. Linear Regression

4. Nonlinear Regression

5. Design of Experiments

6. Time Series Analysis

Laboratory (2 Visits: HSS-1: Identification I; HSS-2: Identification II)

media of instruction

Presentations, Course notes, and Whiteboard lectures

literature / references

· Y.A.W. Shardt, Statistics for Chemical and Process Engineers: A Modern Approach, Springer, 2015,

· L. Ljung, System Identification: Theory for the user, Prentice Hall, 1999.



evaluation of teaching


Freiwillige Evaluation:

SS 2015 (Vorlesung)

SS 2015 (Übung)

SS 2016 (Vorlesung)

SS 2016 (Übung)

SS 2017 (Vorlesung, Übung)