Faculty of Technical Sciences

Subject: Randomized and Approximation Algorithms (17.DE300)

Native organizations units: Department of Power, Electronic and Telecommunication Engineering
General information:
 
Category Scientific-professional
Scientific or art field Electronics
ECTS 10

Study of probable and approximate (randomized) algorithms in recent years has become one of the leading research topics. This course aims to review the techniques for effective use of randomization and approximate algorithms analysis as well as examples of many settings and problems.

- ability to understand the concept of deepened probable and approximate algorithms, - ability to apply these algorithms to problems in the field of doctoral dissertation topics

Aproximability (approximation algorithms, approximation and complexity, nonaproximability), Randomised computation (randomised algorithms and randomised complexity classes, Las Vegas and Monte Carlo algorithms circuit complexity, Tools and techniques for randomised computation (Chernoff bound Lovasz local lemma, Markov chains), Cryptography (one-way functions and protocols)

Lectures. Consultation. Preparation of seminar papers. Study research.

Authors Title Year Publisher Language
Rajeev Motani and Prabhakar Raghavan Randomized Algorithms 1995 Cambridge University Press English
Christos H. Papadimitriou Computational Complexity 1993 Addison-Wesley English
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 70.00
Project Yes Yes 30.00
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Assoc. Prof. Dautović Staniša

Associate Professor

Lectures

Faculty of Technical Sciences

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