CMPLXSYS 445 - Entropy and Information: Concepts and Applications
Fall 2023, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Complex Systems (CMPLXSYS)
Department: LSA Complex Systems
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Details

Credits:
3
Requirements & Distribution:
BS
Waitlist Capacity:
99
Enforced Prerequisites:
MATH 215 (Multivariable and Vector Calculus).
Advisory Prerequisites:
MATH 425/STATS 425.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:
Start/End Date:
Full Term 8/28/23 - 12/6/23 (see other Sections below)
NOTE: Drop/Add deadlines are dependent on the class meeting dates and will differ for full term versus partial term offerings.
For information on drop/add deadlines, see the Office of the Registrar and search Registration Deadlines.

Description

This course introduces the basic tools of Information Theory, Entropy, Relative Entropy, and Information, and highlights their utility with applications drawn from various disciplines. After introducing the basics of probability theory and information theory, we explore topics including coding, data compression, channel capacity, thermodynamics, population dynamics, gene transcription, network science, and more. Familiarity with a simple computational package is a plus, but not required.

Schedule

CMPLXSYS 445 - Entropy and Information: Concepts and Applications
Schedule Listing
001 (LEC)
 In Person
33051
Open
26
 
-
TuTh 10:00AM - 11:30AM
8/28/23 - 12/6/23

Textbooks/Other Materials

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Syllabi

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CourseProfile (Atlas)

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