Course Contents
In small groups, students have the opportunity to participate in the everyday clinical practice of various medical disciplines and to experience the use of medical devices in daily use as well as to experience the possibilities and limitations of the device technologies. They participate in various everyday clinical situations in a hospital and learn the clinical communication channels, workflows and treatment strategies.

Preconditions
Recommended are „Medical Morphology, Terminology and Applied Anatomy I and II“ and „Cell Biology and Physiology for Biomedical Engineering I and II“ und „Biomedical Technology“.
As well as being vaccinated against measles, mumps, varicella, tetanus and hepatitis B according to the recommendation of the Standing Committee on Vaccinations.

Further Information
PLEASE NOTE: To participate in the ‘Radiotherapy’ placement, you must first attend a
radiation protection briefing before the start of the module course. The date will be coordinated by the radiotherapy department (see brief description in Moodle).

Semester: ST 2026
Jupyterhub API Server: https://tu-jupyter-t.ca.hrz.tu-darmstadt.de

Digital Teaching
For all information regarding online offerings, please visit the website: https://www.rtm.tu-darmstadt.de/education_rtm/laboratories_rtm/laboratory_matlab_simulink_1_rtp/index.de.jsp

Course Contents
In this lab tutorial, an introduction to the software tool MatLab/Simulink will be given. The lab is split into two parts. First the fundamentals of programming in Matlab are introduced and their application to different problems is trained. In addition, an introduction to the Control System Toolbox will be given. In the second part, the knowledge gained in the first part is applied to solve a control engineering specific problem with the software tools.

Literature
[list]
[*]Lecture notes for the lab tutorial can be obtained in moodle
[*]Lunze; Regelungstechnik I
[*]Dorp; Bishop: Moderne Regelungssysteme
[*]Moler: Numerical Computing with MATLAB
[/list]

Preconditions
The lab should be attended in parallel or after the lecture “System Dynamics and Control Systems I”

Online Offerings
moodle

Semester: ST 2026
Jupyterhub API Server: https://tu-jupyter-t.ca.hrz.tu-darmstadt.de

Course Contents
Using appropriate test benches the students apply controller design methods taught in the basic lecture of control systems. The priority hereby lies in the application of the design methods and the evaluation of the parameters they provide.
Additionally, some further topics of the domain of control systems (e.g. automation engineering, data-driven modelling) are presented by practical Experiments.

Literature
Lab handouts will be given to students

Preconditions
System Dynamics and Control Systems I

Additional Information
[i][b]Please take notice of the following rules concerning the course inscription![/b][/i]

For organizational reasons the definite inscription to this lab course takes place at the beginning of april in Moodle. A more detailled description of the procedure can be found in Moodle.

[b][i]I.e., the course registration in TUCaN is not sufficient and won’t guarantee a certain weekday of the labs.[/i][/b]

However, for consideration in our planning, we would ask you to select your favorite day of the week in TUCaN early.

Semester: ST 2026
Jupyterhub API Server: https://tu-jupyter-t.ca.hrz.tu-darmstadt.de
Course Contents
Practically oriented group work in a research-related environment focusing on measurement and sensor technology. Seminar-based design of sensory systems, appropriate documentation methods, and presentation of project results. In-depth study of topics such as
[list]
[*]measurement amplifiers,
[*]functional materials for sensor fabrication,
[*]inertial measurement systems,
[*]planning and evaluation of human participant experiments,
[*]signal processing for vital parameters,
[*]ultrasound and acoustics,
[*]phased-array electronics,
[*]modern force measurement technology,
[*]numerical simulation using practical examples (COMSOL, finite element method).
[/list]

Literature
Provided depending on the specific task. The documents for the lectures on Measurement Technology and Sensor Technique are recommended and made available.

Online Offerings
moodle

Semester: ST 2026
Jupyterhub API Server: https://tu-jupyter-t.ca.hrz.tu-darmstadt.de

Course Contents
Teams of 2 - 4 students work on different control engineering projects under the guidance of a project coordinator from the institute. The projects mainly cover the following subject areas:
[list]
[*]Modelling, analysis and design of multivariable control systems
[*]Modelling, analysis and design of distributed parameter systems
[*]Robust control design
[*]System analysis, supervision and fault diagnosis
[*]Modelling and identification
[/list]
Application areas are machine tools, production lines, test benches, process control, automobiles.

Literature
Handouts will be distributed at start of the project (e.g. Hints for writing a project documentation, etc.)

Preconditions
Lecture “System Dynamics and Control Systems I”

Online Offerings
moodle

Semester: ST 2026
Jupyterhub API Server: https://tu-jupyter-t.ca.hrz.tu-darmstadt.de

Course Contents
In this lab the students will design concepts and implement prototypes in the field of serious games (e.g. in education, health and sports).

The topics relate to current research questions in the field, partly in cooperation with partners from the games industry and/or Serious Games users.

Preconditions
Programming skills (depending on topic).

Semester: ST 2026
Jupyterhub API Server: https://tu-jupyter-t.ca.hrz.tu-darmstadt.de

Course Contents
The lecture covers advanced topics in the software engineering field that deal with maintenance and quality assurance of software. Therefore, those areas of the software engineering body of knowledge which are not addressed by the preceding introductory lecture, are in focus. The main topics of interest are: software maintenance and reengineering, configuration management, static programme analysis and metrics, dynamic programme analysis and runtime testing as well as programme transformations (refactoring). During the exercises, the participants analyze, test and restructure different examples.

Preconditions
Introduction to Computer Science for Engineers as well as basic knowledge of Java

Additional Information
[url]https://www.es.tu-darmstadt.de/lehre/aktuelle-veranstaltungen/se-ii-v[/url]

Online Offerings
moodle

Semester: ST 2026
Jupyterhub API Server: https://tu-jupyter-t.ca.hrz.tu-darmstadt.de