Selected Topics on Data Science (SE)

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Course lecturer:

FH-Prof. DI (FH) Dr. techn.

 Markus Prossegger

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Course numberB2.08510.50.021
Course codeST-DS
Curriculum2022
Semester of degree program Semester 5
Mode of delivery Presence- and Telecourse
Units per week2,0
ECTS credits2,5
Language of instruction German

In-depth course on current developments in the field of Data Science. Students learn the tools and techniques for solving current problems and can apply them to new problems.

The following seminar topics will be covered in the course (these are to be updated on an ongoing basis):

  • Facebook AI vs. Google AI
  • Deep Learning on Theytube Videos (Google)
  • Recommender systems (Amazon)
  • Social aspects (membership cards)
  • Analysis of general networks (information networks, large-scale networks, ...)
  • Cloud Computing / Web Computing
  • New Internet technologies and applications
Students receive a general introduction and prepare a seminar paper on a selected topic.

Literature will be provided for the respective seminar topic.

Lectures, guest speakers, group work, moderated discussions

Final grade comprised of

  • Class participation
  • Discussion
  • Presentation