Bachelorseminar im Fachgebiet Deep Semantic Learning (Seminar technische/praktische Informatik)

Description

General Information

Lecturer Prof. Dr. Martin Potthast
Teaching Assistants Niklas Deckers, Tim Hagen
Workload 3 Credits
Prerequisites Foundational knowledge on Machine Learning. Simultaneous attendance to our Machine Learning for Language Technologies course is possible.
Contact via email or office hours

Organization

  • Tutorials Two tutorials will be held in presence: one on scientific writing and the other on scientific presenting.
  • Deliverables
    • Presentation — 25 min + 10 min Q&A
    • Term Paper — 10 pages + unlimited space for references

Important Dates

Date Title Materials Deliverables
24.04.2025
  • Overview
02.05.2025
  • Vote Deadline
 No meeting
  • 3 favorite topics
TBD
  • Tutorial: Scientific writing
TBD
  • Structure + Abstract Check
 No meeting
  • Structure outline due
  • Abstract due
TBD
  • Halfway Point
 No meeting
  • Term paper draft due
TBD
  • Review Deadline
 No meeting
  • Reviews due
TBD
  • Tutorial: Scientific presenting
TBD
  • Feedback on Slides
 No meeting
  • Slides due
TBD
  • Presentations
  • Term paper and slides due

Literature

  • J. Zobel. Writing for Computer Science. Springer 2014. ISBN 978-1-4471-6638-2.