CMPLXSYS 489 - Advanced Topics in Complex Systems
Fall 2019, Section 002 - Applications of Entropy and Information in the Natural Sciences
Instruction Mode: Section 002 is  In Person (see other Sections below)
Subject: Complex Systems (CMPLXSYS)
Department: LSA Complex Systems

Details

Credits:
3
Advisory Prerequisites:
Advanced standing. Technical prerequisites vary with topic.
Repeatability:
May be elected three times for credit.
Rackham Information:
Rackham credit requires additional work.
Primary Instructor:

Description

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.

Schedule

CMPLXSYS 489 - Advanced Topics in Complex Systems
Schedule Listing
002 (LEC)
 In Person
30755
Open
8
 
-
TuTh 8:30AM - 10:00AM
Note: Calculus through Math 116 required, Math 215 highly recommended.

Textbooks/Other Materials

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Syllabi

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