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Introduction to Artificial Intelligence

Unit Code: HIT3002




Duration

Contact Hours

Campus

Prerequisite

Corequisite

1 Semester or equivalent

36 Hours

Hawthorn, Sarawak

 

Nil

Credit Points: 12.5 Credit Points

Related Course/s:



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Aims & Objectives:

Learning Outcomes

After successfully completing this unit, you should be able to:
  • Understand fundamental concepts of Artificial Intelligence (AI) and generic problem solving techniques 
  •  Apply advanced algorithms and data structures to solve common problems 
  • Design simple software that implements AI concepts

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Teaching Methods:

Lectures (24 hrs), Tutorial (12 hrs)


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Assessment:

Assignments, Tests, Examination


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Generic Skills Outcomes:

Students will be provided with feedback on progress in attaining the following generic skills:
  • teamwork skills
  • analysis skills
  • problem solving skills
  • ability to tackle unfamiliar problems
  • ability to work independently

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Content:

  • Introduction to Artificial Intelligence and Intelligent Agents
  • Introduction to Logic and Reasoning
  • Uninformed and Informed Search
  • Game playing / Adversarial Search
  • Knowledge Representation
  • Expert Systems
  • Probabilistic Reasoning and Bayesian Networks
  • Adaptation and Machine Learning
  • Philosophical Aspects of AI   

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References:

Russell, S.J., Norvig, P., "Artificial Intelligence: A Modern Approach", 2nd edition, Prentice-Hall, 2002.
B.Coppin, Artificial Intelligence Illuminated, Jones & Bartlett Publishers, 2004.

Nilsson, Artificial Intelligence: A new Synthesis, Morgan Kaufman Publishers 1998

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