Computer Science


Agents and Machine Learning

COMPSCI 709 S2 C

 

Prerequisites COMPSCI.367 or COMPSCI.366
Restrictions
Assessment 40% assignments, 60% examination.
Note: You need to pass the practical and the theory component to pass this course!
Lecturers Dr. Patricia Riddle pat @ cs.auckland.ac.nz (course supervisor)
Assoc. Prof  Ian Watson  ian @ cs.auckland.ac.nz
Dr. Mike Barley barley @ cs.auckland.ac.nz
Class Representative to be announced
Texts required Stuart J. Russell and Peter Norvig. Artificial Intelligence : A Modern Approach. Prentice Hall, Upper Saddle River, New Jersey, 1995.
Tom Mitchell, Machine Learning, , McGraw Hill, 1997
Texts recommended Ian Watson. Applying Case-Based Reasoning: techniques for enterprise systems. Morgan Kaufmann Publishers Inc., San Francisco, 1997
Description This is an advanced Artificial Intelligence (AI) course, providing an in depth study of two currently influential areas of AI research, namely, agents and machine learning. Mike Barley will explore the current state-of-the-art in agent technology, particularly with regard to planning problems. Pat Riddle will guide you through the choice and use and evaluation of  machine learning algorithms, while Ian Watson will look at one ML technique in depth - Case-Based Reaqsoning.
Policy on Cheating and Plagiarism The Department of Computer Science's policy on cheating and plagiarism can be found at: http://www.cs.auckland.ac.nz/CheatingPolicy.html
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.

 


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