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COMP508 Artificial Intelligence II

Updated: 04 May 2010
Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study Online Level
Armidale Semester 2 Off Campus D - Comp/internet essential
Armidale Semester 2 On Campus D - Comp/internet essential
Intensive School(s) None
Supervised Exam There is a UNE Supervised Examination held at the end of the teaching period in which you are enrolled.
Pre-requisites COMP318 or COMP518 or candidature in GradCertCompSc or GradDipCompSc or MCompSc
Co-requisites None
Restrictions None
Notes None
Combined Units None
Coordinator(s) Ioan Despi (idespi@une.edu.au)
Unit Description

This unit introduces students to the logical foundations of artificial intelligence, a mature area of computer science. This unit will allow students to gain generic problem solving skills, common to a wide-range of real-world problems. These include search, intelligent agents, informed search and exploration, constraint satisfaction problems, adversarial search and logic agents.
Prescribed Material
Mandatory 		Text(s):

Note: Students are expected to purchase prescribed material

Artificial Intelligence. A Modern Approach
ISBN: 9780136042594
Russell, S. and Norvig, P., Prentice Hall 3rd ed. 2009
Text refers to: Semester 2 , On and Off Campus
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment
Title Exam Length Weight Mode No. Words
Assignment 1 10%
Assessment Notes
Requires approx 9 hrs work
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 GA: 1, 2, 6
Assignment 2 10%
Assessment Notes
Requires approx 9 hrs work
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 GA: 1, 2, 6
Assignment 3 10%
Assessment Notes
Requires approx 9 hrs work
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 GA: 1, 2, 6
Assignment 4 10%
Assessment Notes
Requires approx 9 hrs work
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 GA: 1, 2, 6
Assignment 5 10%
Assessment Notes
Requires approx 9 hrs work
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 GA: 1, 2, 6
Final Examination 2 hrs 50%
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 GA: 1, 2, 6

Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. apply artificial intelligence techniques, such as search heuristics, knowledge representation, planning and reasoning to real-world problems;
  2. design and implement appropriate solutions for search problems, adversarial search problems and planning ones;
  3. analyse problem specifications and derive appropriate solution techniques for them.

Graduate Attributes (GA)
Attribute Taught Assessed Practised
1 Knowledge of a Discipline
Students develop knowledge of the application of artificial intelligence techniques through lectures and assessment. 		True True True
2 Communication Skills
Taught, assessed and practised in written assignments. 		True True True
6 Problem Solving
Students develop problem solving skills by implementing artificial intelligence computer programs as part of the programming assessments. 		True True True
   

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