INFO 7002 Advanced Topics in Artificial Intelligence

This is an archived copy of the 2022-2023 catalog. To access the most recent version of the catalog, please visit https://hbook.westernsydney.edu.au.

Credit Points 10

Legacy Code 301196

Coordinator Dongmo Zhang Opens in new window

Description This subject introduces the most fundamental techniques of artificial intelligence (AI), including knowledge representation, searching, machine learning and intelligent agents. Students will learn the basic theories and algorithms that are essential in the design and development of intelligent systems. The subject will focus on two typical AI applications: game playing and e-trading. Students will have the chance of using existing multiagent system platforms to design and develop intelligent software for game playing and automated trading in e-markets.

School Computer, Data & Math Sciences

Discipline Information Technology, Not Elsewhere Classified.

Student Contribution Band HECS Band 2 10cp

Level Postgraduate Coursework Level 7 subject

Incompatible Subjects LGYA 5875 Intelligent Agents LGYA 5991 Automated Negotiation and e-Trading INFO 7006 Intelligent Agents for eMarkets

Restrictions

Students must be enrolled in a postgraduate program.

Assumed Knowledge

This subject requires basic skills in programming with either JAVA or C++ as the programming language.

Assessment

The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.

Type Length Percent Threshold Individual/Group Task
Case Study 15 hours of work offline. 20 N Individual
Case Study 15 hours of work offline. 20 N Individual
Final Exam 2 hours (open book) 60 N Individual

Teaching Periods