CSE422 Artificial Intelligence
Undergraduate course, BRAC University, Department of Computer Science and Engineering, 2025
Taught CSE422 Artificial Intelligence during Summer 2025 (present). Delivered lectures and labs on core AI concepts, including intelligent agents, search strategies, constraint satisfaction problems, probabilistic reasoning, and machine learning. Emphasized problem-solving strategies, algorithm analysis, and practical implementation in AI languages.
Course Objectives
- Introduced concepts of AI, rationality, and intelligent agent structures.
- Analyzed search strategies for informed and uninformed problems, deterministic/stochastic games, and constraint satisfaction.
- Covered algorithms’ complexity, optimality, and completeness.
- Taught probabilistic reasoning, logic models, and basic machine learning concepts.
Course Materials
- Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig, 3rd Edition, Pearson Education.
- Lecture slides, assignments, and lab materials provided via BRAC University’s buX platform.