SubjectsSubjects(version: 945)
Course, academic year 2016/2017
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Introduction to Information Transmission and Processing - NTIN100
Title: Základy přenosu a zpracování informace
Guaranteed by: Computer Science Institute of Charles University (32-IUUK)
Faculty: Faculty of Mathematics and Physics
Actual: from 2015 to 2016
Semester: summer
E-Credits: 5
Hours per week, examination: summer s.:2/1, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: prof. Mgr. Michal Koucký, Ph.D.
doc. Mgr. Petr Gregor, Ph.D.
Annotation -
Last update: IUUK (27.04.2015)
The course covers the fundamental concepts of information theory, error-correcting codes and communication complexity.
Literature -
Last update: IUUK (27.01.2015)

· T.M. Cover, J.A. Thomas, Elements of Information Theory. John Wiley & Sons, 2nd edition, 2006.

· F.J. MacWilliams, N.J.A. Sloane, The theory of error correcting codes. North-Holland, Amsterdam, 1981.

· E. Kushilevitz, N. Nisan, Communication Complexity. Cambridge University Press, 1997.

· J.H. van Lint, Introduction to coding theory. Springer, 3rd edition, 1998.

Syllabus -
Last update: IUUK (27.04.2015)

Information Theory

· Information, entropy, mutual information

· Relative information and its properties

· Data compression - Shannon-Fano code, Huffman code

· Kolmogorov complexity, Kolmogorov information, symmetry of Kolmogorov information

Error-Correcting Codes

· Data transmission over a noisy channel, channel capacity, Shannon's theorems

· Non-explicit codes

· Hamming codes

· Reed-Solomon codes, Berlekamp-Welch algorithm

Communication Complexity

· Model of communication complexity

· Deterministic complexity, combinatorial rectangles, examples

· Probabilistic protocols, public and private random bits

· Non-deterministic protocols

· Application: analysis of data structures

 
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