SEBA Lab Course (NLP)

Contact

• For questions or any feedback on the course, please contact Phillip Schneider.

Registration

• Only for Master's students!
• Maximum participants: 16 students = 4 teams of 4 students per team
• [09.02. bis 14.02.2024] Register in the Matching-System (https://matching.in.tum.de/) with your TUMonline ID
  (Note: The SEBA Lab course is listed as "Practical Course NLP-based Software Engineering (IN2106, IN2129)" in the matching system.)
• Send CV and transcripts of records to phillip.schneider[at]tum.de with subject "SEBA Lab NLP 24 Application" until 14.02.2024

Content and teaching goals

The SEBA Lab course is an opportunity for students to work on interesting projects in the field of NLP. Students will collaborate in small teams and implement NLP applications over the course of the term. Each team is advised by one teaching assistant of the chair.

The goals of the lab course are:

• Deepen your knowledge in NLP and Software Engineering
• Get practical experience in NLP-based application development
• Get familiar with new technologies such as Machine Learning, NoSQL databases, Cloud Computing, etc.
• Gain insights from the industry through guest lectures
• Participate in current research projects at sebis