CMPLXSYS 510 - Introduction to Adaptive Systems
Section: 001
Term: WN 2018
Subject: Complex Systems (CMPLXSYS)
Department: LSA Complex Systems
Requirements & Distribution:
Waitlist Capacity:
Advisory Prerequisites:
MATH 215, 255, or 285; MATH 217; and MATH 425.
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May not be repeated for credit.
Primary Instructor:

This course is an introduction to applications and integration of dynamical systems and game theory to model population and ecological dynamics and evolutionary processes. Topics include Lotka-Volterra systems, non-cooperative games, replicator dynamics and genetic mechanisms of selection and mutation, and other adaptive systems.

Course Requirements:

Attend lectures and complete the substantial homework assignments. There will also be a midterm test and the final exam.

Intended Audience:

Applied math and other theoretically and mathematically minded natural science and engineering students. Students of biology, ecology, economics and other social sciences, natural resources, bioengineering, and bioinformatics—with suitable math backgrounds—are especially welcome.

Prerequisites: Equivalent of four semesters of calculus (especially familiarity with differential equations) and working knowledge of elementary linear algebra and probability.

Class Format:

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CMPLXSYS 510 - Introduction to Adaptive Systems
Schedule Listing
001 (LEC)
MW 8:30AM - 10:00AM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 9780521625708
Evolutionary games and population dynamics, Author: Josef Hofbauer, Karl Sigmund., Publisher: Cambridge University Press Digital pr 1998
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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