Skip to Content

Future Students - Courses

click here for a printable version of this page  

Intelligent Systems

Unit Code: HIT3138




Duration

Contact Hours

Campus

Prerequisite

Corequisite

1 Semester

48 Hours

Hawthorn, Sarawak

Nil

Nil

Credit Points: 12.5 Credit Points


Related Course/s:

Aims & Objectives:

To introduce students to a range of artificial intelligence techniques.

Teaching Methods:

Lectures (24 hrs), Tutorial (Labs) (24 hrs)

Assessment:

Assignments, Examinations

Content:

• Introduction to Artificial Intelligence and Intelligent Agents
• Uninformed and informed search.
• Knowledge representation
• Evolutionary computing
• Neural Networks
• Learning
• Machine vision
• Natural languages processing

    Reading Materials:

    Sterling, L. and Taveter, K. The Art of Agent-Oriented Modelling. MIT Press, 2009.

    Russell, S. & Norvig, P. Artificial Intelligence: A Modern Intelligence. Prentice Hall, 3rd edition, 2009
     
     
    Lecture notes will be provided