Courses Handbook 2006 - [Archived]

302952 (v.2) Artificial and Machine Intelligence 651


Area:

Department of Computing

Credits:

25.0

Contact Hours:

4.0
 
** 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. **
 

Workshop:

1 x 4 Hours Weekly

Prerequisite(s):

10225 (v.6) Introduction to Programming Environments 502 or any previous version
 

Syllabus:

Introduction to LISP, list processing, functional approach. Pattern matching, symbolic representation, LISP - local state, stream processing, function as arguments and results, printing, reading and file manipulation. Search methods, semantic nets and frames in LISP, natural language processing, simple grammar representation. Introduction to neural networks. Introduction to machine learning, constraint propagation, probabilistic reasoning, planning and problem solving paradigms.
 
** 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:

020119 Artificial Intelligence

Funding Cluster:

06 - Computing, Built Environment, Health

SOLT (Online) Definitions*:

Not Online
*Extent to which this unit or thesis utilises online information

Result Type:

Grade/Mark

Availability

Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.

 
Curtin Search Curtin Site Index