Instructor:
Bruce MacLennan
Phone: 974-5067
Office: 217 Claxton Complex
Hours: 2:00-3:30 MW, or make
an appointment
Email: maclennan@cs.utk.edu
Teaching Assistant:
William E Duncan
Phone: 974-0995
Office: Claxton 224
Hours: T/TH 2:35-3:35p
Email: duncan@cs.utk.edu
Classes: 3:40-4:55 MW in Cl 205
Directory of Handouts, Labs, etc.
This page: http://www.cs.utk.edu/~mclennan/Classes/420-594-F02
In emergent computation, information processing emerges from the parallel interaction of large numbers of comparatively simple computational units. Emergent computation is increasingly important as we seek to increase the power and robustness of computational systems by increased use of parallelism and by the exploitation of innovative computational technologies (optical, molecular, biological, etc.). Fundamental to the theory and implementation of emergent computation systems is an understanding of the behavior and self-organization of complex systems: systems in which the interaction of the components is not simply reducible to the properties of the components. This project-oriented course will focus on natural and artificial complex systems, including neural networks, cellular automata, and evolutionary systems.
Basic calculus through differential equations (e.g. Mat 231, 241), linear algebra (e.g. Mat 251), probability and statistics (e.g. Mat 323). Note! Take these prerequisites seriously! You will need these skills to understand the material, to do the homework and to do the projects.
As time permits:
Return to MacLennan's home page
Send mail to Bruce MacLennan / MacLennan@cs.utk.edu