معرفی
James R. Glenn is a Senior Lecturer in the Department of Computer Science at Yale University's Faculty of Arts and Sciences. He teaches multiple computer science courses including systems programming, algorithms, data structures, and computational intelligence for games.
His research focuses on stochastic games, particularly on computing optimal strategies and using artificial intelligence techniques to create near-optimal strategies when optimal solutions are infeasible. He also investigates mathematical problems related to '3-free sets' and methods for constructing large sets. His work bridges theoretical computer science with practical applications in game theory and algorithm design.
Dr. Glenn teaches courses including CPSC 223 (Data Structures), CPSC 323 (Systems Programming), CPSC 365 (Algorithms), and CPSC 474/574 (Computational Intelligence for Games). His teaching spans foundational computer science concepts to advanced topics in game AI.
- Current research focuses on stochastic game strategies
- Expertise in algorithms and computational intelligence
- Extensive teaching experience across various CS topics
His publications reflect his interests in game theory, algorithms, and educational tools, with work spanning from theoretical mathematics to practical software implementations.
Dr. Glenn maintains an active teaching schedule with regular office hours in Dunham Lab 429 at Yale University.
