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Computer Science
Artificial Intelligence: COMPSCI 367 Semester 2, City Campus
This page is no longer maintained. Information on the current offering can be found on Canvas. The Canvas link for this course can be found here.
| Prerequisites |
COMPSCI 220, COMPSCI 225 |
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| Assessment |
30% assignments, 70% examination. Note: You need to pass the practical and the theory component to pass this course. |
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| Lecturers |
Dr. Michael Barley barley @ cs.auckland.ac.nz Assoc. Prof. Ian Watson ian @ cs.auckland.ac.nz Dr. Yun Sing Koh ykoh @ cs.auckland.ac.nz (Coordinator) |
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| Tutors |
TBA |
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| Markers |
TBA |
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| Class Rep. |
TBA |
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| 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) |
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| Texts Recommended |
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| 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. |
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| Policy on Cheating and Plagiarism |
The Department of Computer Science's policy on cheating and plagiarism can be found at: Academic Honesty |
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| 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. |
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| Catching up on Missed Material |
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. |
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| Course Information Sheet |
For information of where the lectures
are given, the due dates of assignments, the schedule of the lectures, and a lot more
information about this course, read the course information sheet. |
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