MATH 528 - Information Theory and Data Compression

Institution:

San Diego State University

Subject:

Description:

Prerequisites: Mathematics 245 and 254. Fundamental of discrete probability and information theory: joint and conditional distributions, Bayes' theorem, entropy, channel capacity. Noiseless coding theorem and data compression algorithms: Huffman codes, arithmetic coding, Ziv-Lempel codes. Information theory in error correction coding and cryptography.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.sdsu.edu

Phone Number:

(619) 594-5200

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Semester

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