Transcript Topics covered and not covered in COSC 6368

2004: Topics Covered in COSC 6368
• More general topics:
– heuristic search and search algorithm in general
– logical reasoning
– probabilistic reasoning
• AI-specific Topics:
– resolution / theorem proving
– reasoning in uncertain environments: naïve Bayesian systems and
belief networks
– machine learning centering on neural networks, decision trees and
reinforcement learning
– brief coverage of soft computing, evolutionary computing, data
mining, philosophical aspects of AI
• The 2004 class was taught more “applied” and project/homework
oriented  more time was allocated in lectures to discuss projects and
homework problems (less coverage of other AI topics)
Christoph F. Eick: Final Thoughts on AI and COSC 6368
AI in General and What Was not
Covered in COSC 6368
• Robotics is a quite important sub-field of AI, but very few
teach it in the graduate AI class.
• Planning deserves more coverage.
• Intelligent Agents and AI for the Internet might become more
important changing what is taught in graduate AI-classes in a
few years from now.
• Data Mining should perhaps be covered in more depth,
considering research projects in our department, but having a
separate class covering data mining seems to be a better idea.
• Knowledge-based systems deserve more coverage.
Christoph F. Eick: Final Thoughts on AI and COSC 6368