information

lectures:
mondays and wednesdays, 12.15pm-1.30pm, in room 214 NE

computer account:
It will be helpful if you have access to a computer and the internet for this class. If you have a laptop, it will be helpful during labs (though it is not required and we can lend you a laptop for the lab).

related reading (but you don't have to buy the books):

• Artificial Intelligence: A Modern Approach (2nd edition)
  by Stuart Russell and Peter Norvig, published by: Prentice Hall (2003)
  
• Artificial Intelligence: A New Synthesis
  by Nils J. Nilsson, published by: Morgan Kaufmann (1998)
  
• An Introduction to Multiagent Systems
  by Michael Wooldridge, published by: John Wiley and Sons (2002)

course description:
This course covers the fundamentals of Artificial Intelligence, taking an agent-based approach. Topics include: problem solving, search, heuristic methods, robotics, expert systems, intelligent tutoring systems, neural networks, evolutionary computation, artificial life, state space learning, game playing, knowledge representation, uncertainty, propositional logic, predicate logic, logic-based agents, planning, partial-order planning and decision-theoretic planning.

prerequisites:
Computer and Information Science (CIS) 22.

assessment:
Your course grade will be made up of the following components, out of 100 points:

• 4 homework assignments -- total of 30 points
  (hw 1 & 2: 6 pts each; hw 3 & 4: 9 pts each)
• 2 projects -- total of 30 points
  (15 pts each)
• 2 exams -- total of 40 points
  (20 pts each)