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MATH 477  Data Compression and Source Coding: Theory and Algorithms  Units: 3.00  
Topics include: arithmetic coding, universal lossless coding, Lempel-Ziv and related dictionary based methods, rate distortion theory, scalar and vector quantization, predictive and transform coding, applications to speech and image coding.
Learning Hours: 120 (36 Lecture, 84 Private Study)  
Requirements: Prerequisite MATH 474/3.0. Recommended STAT 353/3.0.  
Offering Faculty: Faculty of Arts and Science