Introduction to Information Theory - Lecture 3
International Centre for Theoretical Sciences via YouTube
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Explore the fundamental concepts of information theory in this advanced lecture delivered as part of the Bangalore School on Statistical Physics-XVI. Delve into mathematical frameworks for quantifying information, understanding entropy, and analyzing communication systems through rigorous theoretical foundations. Learn how information theory connects to statistical physics and its applications in modern research contexts. Examine key principles including information measures, coding theory, and the relationship between information and thermodynamics. Discover how these concepts bridge classical statistical mechanics with quantum systems and their implications for current research frontiers. Gain insights into the mathematical tools and theoretical approaches used to analyze information processing in physical systems, making this essential knowledge for Ph.D. students, postdoctoral researchers, and faculty working at the intersection of statistical physics and information science.
Syllabus
Introduction to Information Theory (Lecture 3) by Jaikumar Radhakrishnan
Taught by
International Centre for Theoretical Sciences