CSC310H1

UTSG

Information Theory

Measuring information. Entropy, mutual information and their meaning. Probabilistic source models and the source coding theorem. Data compression. Noisy channels and the channel coding theorem. Error correcting codes and their decoding. Applications to inference, learning, data structures and communication complexity.

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Prereq: CSC263H1/ CSC263H5/ CSCB63H3/ CSC265H1; MAT223H1/ MAT240H1 Prerequisite for Faculty of Applied Science and Engineering students: ESC190H1; ECE345H1/ ECE358H1/ MIE245H1; MAT185H1/ MAT188H1Breadth: Physical & Mathematical UniversesExcl: NOTE: Students not enrolled in the Computer Science Major or Specialist program at A&S, UTM, or UTSC, or the Data Science Specialist at A&S, are limited to a maximum of 1.5 credits in 300-/400-level CSC/ECE courses.
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Course Info

DepartmentCSC
CampusUTSG (St. George)
Level300
Hours24L/12T
BreadthPhysical & Mathematical Universes
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