Courses in Complex Systems (Division 348) CmplxSys 510/Math 550. Introduction to Adaptive Systems. Permission of instructor. Working knowledge of calculus, probability, and matrix algebra. (3). (Excl). (BS). Centers on the construction and use of agent-based adaptive models. Course begins with classical differential equation and game theory approaches, and then focuses on the theory and application of particular models of adaptive systems such as models of neural systems, genetic algorithms, classifier systems, and cellular automata. CmplxSys 530. Computer Modeling of Complex Systems. Permission of instructor. (3). (Excl). (BS). Introduces students to basic concepts, tools , and issues which arise using computers to model complex systems. Emphasis is placed on the modeling process itself, from model design through implementation to analyzing, documenting, and communicating results. Case studies of 3-5 computer models of complex systems, including adaptive and non-adaptive complex systems drawn from economics, ecology, immunology, epidemiology, evolutionary biology, political science, and cognitive science. CmplxSys 541/Physics 413. Introduction to Nonlinear Dynamics and the Physics of Complexity. Phys. 401. (3). (Excl). (BS). An introduction to non-linear science with an elementary treatment from the point of view of the physics of chaos and fractal growth. University of Michigan | College of LS&A | Student Academic Affairs | LS&A Bulletin Index | Department Homepage Queried: 5:43 PM EST on Thu, May 4, 2000 This page maintained by LS&A Academic Information and Publications, 1228 Angell Hall Copyright © 2000 The Regents of the University of Michigan, Ann Arbor, MI 48109 USA +1 734 764-1817 Trademarks of the University of Michigan may not be electronically or otherwise altered or separated from this document or used for any non-University purpose.