Seminar Applied Responsible AI

  • type: Seminar (S)
  • chair: Information and Market Engineering
  • semester: WS 26/27
  • lecturer: Dr. Anuja Hariharan
    Alexander Grote
    Thimo Schulz
    Marvin Motz
  • sws: 2
  • lv-no.: <a target="lvn" href="https://campus.studium.kit.edu/events/0x4F8B9F5A0E1847A7B012899E9A767F41">2540473</a>
  • information: On-Site
Content

wird auf deutsch und englisch gehalten

Workload:

The total workload for this course is structured as follows:

• Attendance at lectures/exercises (presence time) (2 SWS × 15 weeks): 30 h

• Preparation and follow-up of course content: 60 h

• Exam preparation and participation in the assessment: 45 h

Total workload: 135 h (corresponds to 4.5 ECTS credits)

Language of instructionGerman/English
Organisational issues

Blockveranstaltung, siehe WWW