2004: Topics Covered in COSC 6368

1
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)

2
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.