The objective of the „Practical Course Machine Learning and Intelligent Systems” is to work on current research-related  topics in the areas of

• Extended Reality,
• Robotics,
• State estimation and
• Measurement and control systems.

The tasks are worked on by small groups of up to three students, by designing, implementing and testing suitable hardware and/or software components. Each group is supported by a designated supervisor regularly giving personal feedback and advice. The main goal of the course is the implementation of theoretical methods in real-world applications. An initial familiarization and brainstorming phase is followed by an extensive practical phase in which, in addition to the implementation work, project and time management skills are also trained. In parallel, interim and final results are documented in the form of presentations and a final report.

Optionally, an additional seminar certificate can be obtained in conjunction with the practical course. More information on this can be found in the description of the event "Seminar Laboratory Machine Learning and Intelligent Systems".

Further information:

Credits:
The course is credited with 8 LP.

Registration:
The registration takes place on the website, specifying topic preferences.

Coordination: dominik.prossel@kit.edu

Website: https://isas.iar.kit.edu/de/Praktikum

Termin und Ort der Einführungsveranstaltung werden vor Semesterbeginn auf der Webseite bekannt gegeben.