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Tome Scientific Building Room 234
His current research interests are in the area of bio-inspired computing. In particular he focuses on evolutionary neural networks, interactions between learning and evolution, evolutionary and developmental robotics and swarm intelligence. He is also active in computer science education research, with recent projects evaluating the effects of tool design, feedback mechanisms and pair programming on student behaviors and learning.
COMP 256 Computing Abstractions
A broad examination of the role and evolution of the abstraction hierarchies that enable the construction of complex computing systems. Examples spanning the field of computer science will be used, including: machine organization and architecture, data representation, language translation, operating systems, concurrency, networks, and web application architectures. Prerequisite: 132. Three hours of classroom and two hours of laboratory a week. Offered every spring.