4518 (v.5) Artificial and Machine Intelligence 351


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): 10163 (v.9) Introduction to Programming Environments 152 or any previous version
 
Syllabus: 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.