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Curriculum

Modul CS5430 T

module part: Seminar Machine Learning (SemMaschLa)

Duration:


1 Semester
Turnus of offer:


each summer semester
Credit points:


4
Course of studies, specific field and terms:
  • Master Biophysics 2023 (module part), advanced curriculum, 2nd semester
  • Master Computer Science 2019 (module part), Module part, Arbitrary semester
  • Master MES 2020 (module part), computer science / electrical engineering, Arbitrary semester
  • Master Entrepreneurship in Digital Technologies 2020 (module part), Module part, Arbitrary semester
  • Master Biophysics 2019 (module part), advanced curriculum, 2nd semester
  • Master IT-Security 2019 (module part), Module part, 1st or 2nd semester
  • Master MES 2014 (module part), computer science / electrical engineering, 1st or 2nd semester
  • Master Entrepreneurship in Digital Technologies 2014 (module part), Module part, Arbitrary semester
  • Master Computer Science 2014 (module part), Module part, Arbitrary semester
Classes and lectures:
  • Seminar Machine Learning (seminar, 2 SWS)
Workload:
  • 30 Hours in-classroom work
  • 70 Hours private studies
  • 20 Hours work on an individual topic with written and oral presentation
Contents of teaching:
  • Independent study of a specific field of machine learning
Qualification-goals/Competencies:
  • Students can read and understand scientific articles in the field of machine learning.
  • Students can present the contents of scientific articles in the field of machine learning in a talk.
Grading through:
  • exam type depends on main module
Responsible for this module:
  • Siehe Hauptmodul
Teachers:
Language:
  • German and English skills required
Notes:

Admission requirements for the module:
- None

Admission requirements for the examination:
- Examination prerequisites may be defined at the beginning of the semester. If prerequisites are defined, they must have been completed and positively evaluated prior to the initial examination.

(Is part of the module CS4511)

Letzte Änderung:
1.2.2022