CS795 Objectives and Outcomes


  • Instructor: Amarda Shehu amarda\AT\cs.gmu.edu
    Place and Time: ENT #276, R 7:20 - 10:00 pm
    Office Hours: T 4-6 pm


  • The course will introduce students to a computational treatment of physical systems with geometric and dynamic constraints. Students will be able to implement algorithms to plan motions for simple articulated chains (with revolute joints only) in the presence of obstacles. Forward and inverse kinematics algorithms will be covered.

    The introduction of energetic constraints in addition to geometric constraints will then allow to simulate motions in proteins by modeling protein chains as special articulated chains. Special emphasis will be placed on latest algorithms that can handle the exploration of high-dimensional spaces for both robotic and protein chains. Students will get a hands-on introduction to AI search algorithms relevant to robotics and computational biology.