Artificial Intelligence: COMPSCI 367 Semester 2, City Campus

Prerequisites	COMPSCI 220, COMPSCI 225
Restrictions
Assessment	30% assignments, 10% test, 60% examination. Note: You need to pass the practical and the theory component to pass this course.
Lecturers	Dr. Mike Barley (course supervisor) barley @ cs.auckland.ac.nz Dr. Patricia Riddle pat @ cs.auckland.ac.nz Assoc. Prof.  Ian Watson ian @ cs.auckland.ac.nz
Tutor	Aashmeet Kalra
Markers	Alastair Abbott (aabb009@aucklanduni.ac.nz) Wallace Yuen (wyue013@aucklanduni.ac.nz)
Class Rep.	TBA
Texts required	Stuart J. Russell and Peter Norvig. Artificial Intelligence: A Modern Approach. 3rd Edition. Prentice Hall, Upper Saddle River, New Jersey, 2009.  (visit the book's website)
Texts recommended	Joseph C. Giarratano. Expert Systems : Principles and Programming. Brooks/Cole Pub. Co., 1998. Tom M. Mitchell. Machine Learning. McGraw Hill, 1997. (visit the book's website)
Description	Students will become familiar with the foundations of artificial intelligence, from symbolic reasoning, rule-based reasoning and techniques based on knowledge engineering and representation, through machine learning to planning and agent technology.
Policy on Cheating and Plagiarism	The Department of Computer Science's policy on cheating and plagiarism can be found at: Academic honesty
Seeking Assistance	For assistance with course material and course work you should visit the course lecturer during their published office hours. The Department of Computer Science also has a team of support staff (see the posters around the labs for support contacts) who are happy to provide guidance on more general issues to do with your study in computer science.
Catching up on missed lectures	If you miss a lecture, you should catch up as soon as possible by reading the corresponding lecture notes that are available online. If you miss the deadline for an assignment and have a valid reason, you should see the course supervisor. If you miss the test/exam for any valid reason, or you sit the test/exam but believe that your performance was impaired for some reason, then you may be able to apply for an aegrotat, compassionate or special pass consideration. For more detailed information, refer to the University of Auckland's Calendar.
Submitting anonymous feedback on this course via SurveyMonkey	You can give us anonymous feedback on this course via SurveyMoney: Click here to submit feedback