Area:
4+2 lectures per week in
area III (Theoretical Computer Science)
core course, topic algorithms
Time and Place:
Wen 12:15 - 13:45, lecture hall MI HS 3
Fri 12:00 - 13:30, lecture hall MI HS 1
Exercises:
2 hours per week exercises accompanying the lectures
??? ??:?? - ??:??, lecture hall ??.??.??? Teaching Assistant: Course Certificate: To get a course certificate students must
pass the final exam.
Exam:
Audience:
graduate students of computer science
students with computer science as minor
Prerequisites:
1st and 2nd year courses
Course Efficient Algorithms and Datastructures I advantagious, but not necessary.
Recommended for:
Fundamental knowledge in algorithms
Contents:
During the last years efficient algorithms have been
discovered for various problems which outperfom
deterministic algorithms with respect to system and/or time
resources. Often randomized algorithms are also much easier
to implement and analyze than their deterministic
counterparts.
In this lecture we will present basic principles for the
design of randomized algorithms.
Related and Advanced Lectures:
Efficient Algorithms and Datastructures I
Lecture Notes: Lecture notes (in German) will be provided on
the German form of the webpage (click on the German flag).
References:
R. Motwani, P. Raghavan:
Randomized Algorithms
Cambridge University Press, 1995