Computer Vision and Machine Learning

Course content

Aims

  • The students are able to independently familiarize themselves with a scientific Topic.
  • They are able to prepare the topic and present it in an oral presentation.
  • The students are able to use adequate presentation technique and rhetorical skills.

Content

The cousre content has a mandatory relation to topics of data science. The concrete course content in the seminar depends on the subject area worked on and may vary each semester.

Course information

Code 4216032
Degree programme(s) Computer Science, Data Science
Lecturer(s) Prof. Dr.-Ing. Martin Eisemann
Type of course Seminar
Semester Winter and summer semester
Language of instruction English
Level of study Master
ECTS credits 5