OMSCS: CS 6601 Artificial Intelligence (Spring 2024)

CS 6601 Artificial Intelligence was my first OMSCS course in Spring 2024. Starting the program with a single course felt like the right call, and AI turned out to be a solid choice — it’s a broad survey that covers search, probability, decision theory, and machine learning, all tied together by the thread of building intelligent agents. What The Course Covered The course is organised around the idea of an intelligent agent perceiving its environment and acting upon it. It started with search — the foundation of many AI problems. Uninformed search (BFS, DFS, uniform-cost) then informed search with A* and the critical concept of admissible and consistent heuristics. The heuristic quality directly determines whether A* finds the optimal path efficiently or explores the entire space. Local search methods like hill climbing and simulated annealing followed, plus constraint satisfaction problems with backtracking and arc consistency.