INFO 7002 Advanced Topics in Artificial Intelligence
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