Course syllabus

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In this course, you will cover the representation and  utilisation of knowledge. These are the cornerstones of AI. You will investigate how to take a real world problem and represent it in a computer, so that the computer can solve that problem. Utilising this knowledge is done by search. The basics of search and its use in planning and in game playing will be covered. 

 

Course Outcomes

A student who successfully completes this course should be able to:

  • Represent, in a declarative way, what it means for something to be a solution to a given
  • Implement the main heuristic-search-based approaches to problem solving and their pro's and con's.
  • Develop heuristic-based search strategies to solve AI problems.
  • Elicit knowledge and represent it in intermediate knowledge representations.
  • Understand data driven and goal driven inference and can program a declarative rule-based system.
  • Represent knowledge in predicate calculus and prolog formats.
  • Use natural language processing tools in applications.

The current (V8) course information sheet can be found: courseInfoPage    The difference between V7 and V8 is that the due dates for assignments 1 and 2 have been updated and the old dates crossed out.

The previous (V7) course information sheet can be found: courseInfoPage Compsci367-2020V7.pdf The differences between the current sheet and the original sheet hav been highlighted in yellow.

The original (V6) course information sheet can be found here: courseInfoPage Compsci367-2020V6.pdf.  

Lecturers

  • Mike Barley, Room 303- 488, barley@cs.auckland.ac.nz (Course Coordinator)
  • Michael Witbrock, Room 427, m.witbrock@auckland.ac.nz
  • Ian Watson, Bldg 810 Room 829, ian@cs.auckland.ac.nz
  • Pat Riddle, Bldg 303-490, pat@cs.auckland.ac.nz

Tutors

  • Ben Halstead, Room 303-461, bhal636@aucklanduni.ac.nz

  •  Aaron Keesing, Room 303-476, akee511@aucklanduni.ac.nz

 

Timetable

Lectures

  • Wed 10:00AM - 11:00AM, 303-G020

  • Thurs 4:00PM - 5:00PM, Owen Glen 073

  • Fri 11:00AM - 12:00PM, 303-G020

Tutorials

  • T01 (Wed 11am-12pm) Sci Maths & Physics, Room G16

  • T02 (Wed 12-1pm) Sci Maths & Physics, Room G16

  • T03 (Wed 1-2pm) Sci Maths & Physics, Room G16

  • T06 (Thur 10-11am) Sci Maths & Physics, Room G16

 

Class representatives

  • ??

Course summary:

Date Details Due