Universität Wien
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050130 VU Advanced Algorithms (2013W)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
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

  • Monday 07.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 14.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 21.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 28.10. 09:15 - 11:15 Seminarraum 11, Währinger Straße 29 2.OG
  • Monday 04.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 11.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 18.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 25.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 02.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 09.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 16.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 13.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 20.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Monday 27.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG

Information

Aims, contents and method of the course

Algorithmic techniques for large data sets: Fingerprinting and Data Compression
Advanced algorithmic models: Randomized algorithms, online algorithms, streaming algorithms, external memory algorithms, distributed algorithms
Latest research topics: Spectral methods and electrical flow

Assessment and permitted materials

required: 2 exams
optional: 2 graded homeworks

Minimum requirements and assessment criteria

The goal of this class is to teach you a wide variety of algorithms and techniques that are in use in a range of applications from biological data bases to satellite transmissions.

Examination topics

Reading list

Pointers to the literature will be given in class.

Association in the course directory

Last modified: Mo 07.09.2020 15:29