4517 (v.6) Artificial and Machine Intelligence 251


Area:

Department of Computing

Credits:

25.0

Contact Hours:

3.0
 
** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. **
 

Lecture:

1 x 2 Hours Weekly

Practical:

1 x 1 Hours Weekly

Prerequisite(s):

10163 (v.8) Introduction to Programming Environments 152 or any previous version
 

Syllabus:

Artificial Intelligence, its main problems and approaches. Familiarity with symbolic representations, search methods, first-order logics and their applications in reasoning and learning tasks. Familiarity with numerical techniques in AI such as Probabilistic Networks and their applications.
 
** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. **
 

Field of Education:

31300 Electrical and Electronic Engineering and Technology (Narrow Grouping)

HECS Band (if applicable):

2

Extent to which this unit or thesis
utilises online information:

Informational

Result Type:

Grade/Mark

Availability

Year Location Period Internal Area External Central External
2004 Bentley Campus Semester 1 Y    
2004 Sri Lanka Inst Info Tech Semester 2 Y    
Area
External
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
Central
External
refers to external course/units run through the Curtin Bentley-based Distance Education Area