DA6005 · PG Diploma · 4 credits

Information Theory and Learning

Entropy, mutual information and coding — and how these tie back into modern learning theory.

Instructor to be announced Term As offered Prereq MA1004

§ 1Calendar

  • Quiz 1—
  • Quiz 2—
  • End-term examination—

§ 2Previous Year Questions

No papers uploaded yet.

§ 3Resources

No resources located yet for this course.

DA6005 · PG Diploma · 4 credits

Syllabus

The official course syllabus, transcribed from the IITM BS Data Science & Applications course booklet.

§ 1Course Description

This course introduces information theory as the study of the fundamental limits of information processing, covering key information measures, their properties and applications, and the limits of coding, hypothesis testing, and parameter estimation.

Lectures-Tutorials-Practicals-Credits: 4-0-0-4

§ 2Faculty

This course has not yet been introduced. Faculty and a week-by-week syllabus are not yet available — check the official handbook for the latest status.

§ 3Week-by-week

Week-by-week breakdown not yet available for this course.