FI:M033 Coding Theory - Course Information
M033 Coding Theory
Faculty of InformaticsSpring 1999
- Extent and Intensity
- 2/1. 3 credit(s). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
- Teacher(s)
- prof. RNDr. Jan Paseka, CSc. (lecturer)
- Guaranteed by
- Contact Person: prof. RNDr. Jan Paseka, CSc.
- Prerequisites
- M003 Linear Algebra I
Before enrolling this course the students should go through M003 Linear Algebra and Geometry I, M011 Statistics I,M008 Algebra I and M000 Calculus I. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Informatics (programme FI, B-IN)
- Informatics (programme FI, M-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Information Technology (programme FI, B-IN)
- Syllabus
- Introduction. A very abstract summary. History. Outline of the course.
- Entropy. Uncertainty. Entropy and its properties. Information.
- Communication trough channels. The discrete memoryless channel. Codes and decoding rules. The noisy coding theorem.
- Error-correcting codes. The coding problem -- need for error correction. Linear codes. Binary Hamming codes. Cyclic codes. Reed--Muller codes.
- General sources. The entropy of a general source. Stationary sources. Markov sources.
- The structure of natural languages. English as a mathematical source. The entropy of English.
- Literature
- Welsh, Dominic. Codes and Cryptography. Oxford University Press, New York 1989. ISBN 0-19-853287-3
- Introduction to coding and information theory. Edited by Steven Roman. New York: Springer, 1997, xiii, 323. ISBN 0387947043. info
- Porubský, Š. a Grošek, O. Šifrovanie. Algoritmy, Metódy, Prax. Grada, Praha 1992.
- Adámek, Jiří. Foundations of Coding Theory. John Wiley & Sons, New York 1991.
- ADÁMEK, Jiří. Kódování. Vyd. 1. Praha: SNTL - Nakladatelství technické literatury, 1989, 191 s. URL info
- Adámek, Jiří. Stochastické procesy a teorie informace - úlohy. ČVUT, Praha 1989.
- BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Teorie pravděpodobnosti a matematická statistika : sbírka příkladů. 2. vyd. Brno: Masarykova univerzita v Brně, 1998, viii, 116. ISBN 8021018321. info
- KUČERA, Luděk and Jaroslav NEŠETŘIL. Algebraické metody diskrétní matematiky. Vyd. 1. Praha: SNTL - Nakladatelství technické literatury, 1989, 291 s. URL info
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (Spring 1999, recent)
- Permalink: https://is.muni.cz/course/fi/spring1999/M033