Universität Wien
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053611 VU Mathematics of Data Science (2021W)

4.00 ECTS (3.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
REMOTE
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

For more information such as the Zoom link to the online lecture, please sign up to the associated moodle page.

  • Tuesday 05.10. 09:45 - 12:00 Digital
  • Tuesday 12.10. 09:45 - 12:00 Digital
  • Tuesday 19.10. 09:45 - 12:00 Digital
  • Tuesday 09.11. 09:45 - 12:00 Digital
  • Tuesday 16.11. 09:45 - 12:00 Digital
  • Tuesday 23.11. 09:45 - 12:00 Digital
  • Tuesday 30.11. 09:45 - 12:00 Digital
  • Tuesday 07.12. 09:45 - 12:00 Digital
  • Tuesday 14.12. 09:45 - 12:00 Digital
  • Tuesday 11.01. 09:45 - 12:00 Digital
  • Tuesday 18.01. 09:45 - 12:00 Digital
  • Tuesday 25.01. 09:45 - 12:00 Digital

Information

Aims, contents and method of the course

This course establishes a mathematical basis required to understand tools and methods in data science. Since it is expected that the students in this course come from a broad range of academical backgrounds, the classes will be adapted to the prior knowledge of the students.

In this course we will get to know the following topics in various degrees of depth: high-dimensionality and dimension reduction, principle components analysis, graphs and clustering, image and signal processing, sparsity and compressed sensing

Assessment and permitted materials

Written or oral exam at the end of the semester.

Minimum requirements and assessment criteria

Basic knowledge of all mathematical concepts presented in the lecture.

Examination topics

Everything covered in the lectures.

Reading list

- Bishop: Pattern Recognition and Machine Learning
- Bandeira, Singer, Strohmer: Mathematics of Data Science, https://people.math.ethz.ch/~abandeira/BandeiraSingerStrohmer-MDS-draft.pdf

Association in the course directory

Modul: MDS

Last modified: Th 17.08.2023 00:10