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 130 Introduction to Computing
Please see the Computer Science Advising Guide for placement advice to determine if 130 or 132 is the correct course for you. https://www.dickinson.edu/homepage/319/computer_science_advising
COMP 393 Special Topics
Topics to be announced when offered. Possible topics include: Compiler Design, Artificial Life, Biologically Inspired Computing, Cyber Security, Machine Learning, and others depending upon faculty and student interest. Prerequisite dependent upon topic. One-half or one course credit..