Universität Wien

052100 VU Algorithms and Data Structures 2 (2017S)

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 06.03. 09:15 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 20.03. 09:15 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 27.03. 09:15 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 03.04. 09:15 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 24.04. 09:15 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 08.05. 09:15 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 15.05. 09:15 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 22.05. 09:15 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
  • Monday 29.05. 09:15 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

Algorithmic Strategies (Recursive Backtracking, Branch and Bound; heuristics; reduction transform and conquer)
Fundamental Data Structures and Algorithms (Tabulation hashing; Pattern matching and string/text algorithms)
Advanced Data Structures, Algorithms and Analysis (External memory algorithms (e.g. B-trees), string-based data structures and algorithms (e.g. suffix trees), network flows, geometric algorithms, (e.g. geometric search/proximity, convex hull) randomized algorithms)

Assessment and permitted materials

1-2 exams, 3-4 homework sheets
You are required to attend every class (except for 2 classes which you can miss without giving a reason). Every additional missed class reduces the number of achieved points by 5.

Minimum requirements and assessment criteria

percentage of points grade
>= 89% 1
>= 76% 2
>= 63% 3
>= 50% 4
< 50% 5

Examination topics

Everything covered in the lecture, the slides, and the reading material

Reading list

This information will be given in class.

Association in the course directory

Module: CNA

Last modified: Mo 07.09.2020 15:30