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052111 VU Advanced Algorithms (2016W)

Continuous assessment of course work

Details

max. 25 participants
Language: English

Lecturers

Classes

Wed 9:45 - 11:15, Fri 13:15 - 14:45
Location: Seminarraum 11, Waehringerstrasse 29
Begin: Oct 5, 2016


Information

Aims, contents and method of the course

The class will consist of two parts:
PART 1:
Introduction to game theory. The complexity of computing an equilibrium. Social choice theory. Mechanism design. Sponsored search. Combinatorial auctions. Price of anarchy.
PART 2:
Algorithmic techniques for large data sets
Advanced algorithmic models: Randomized algorithms, online algorithms, streaming algorithms, external memory algorithms, distributed algorithms
Latest research topic in graph algorithms

Assessment and permitted materials

There will be two written exams (50 points each) and 6 exercise sheets (= homework sets to be solved at home, 10 points each). The best 5 exercise sheets are counted for the grade.
Presence in class is required, but you can miss up to three lectures without reason. Note that, for each additional lecture you miss, we will subtract 5 points from your points achieved so far.

Minimum requirements and assessment criteria

Grading scale: 100% = 150 points
89% <= P <= 100% Sehr Gut (1)
76% <= P < 89% Gut (2)
63% <= P < 76% Befriedigend (3)
50% <= P < 63% Genügend (4)
0% <= P < 50% Nicht Genügend (5)

Examination topics

The exams cover all the material presented in class, in the exercise sheets, and in the reading material.

Reading list

Literature will be announced in class and (as far as possible) made available on Moodle.

Association in the course directory

Last modified: Fr 31.08.2018 08:48