CMPLXSYS 489 - Advanced Topics in Complex Systems
Section: 002 Applications of Entropy and Information in the Natural Sciences
Term: FA 2019
Subject: Complex Systems (CMPLXSYS)
Department: LSA Complex Systems
Advisory Prerequisites:
Advanced standing. Technical prerequisites vary with topic.
May be elected three times for credit.
Rackham Information:
Rackham credit requires additional work.
Primary Instructor:

As a general measure of uncertainty, Entropy finds diverse applications in numerous disciplines, such as physics, chemistry, and biology. This course will highlight many of these applications. After introducing the basic notions of entropy and information, we will study the theoretical underpinnings of its many interpretations. Illustrations of these ideas will be drawn from information theory, statistical inference, statistical mechanics, network theory, and biophysics.

CMPLXSYS 489 - Advanced Topics in Complex Systems
Schedule Listing
002 (LEC)
TuTh 8:30AM - 10:00AM
Note: Calculus through Math 116 required, Math 215 highly recommended.
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