Intelligent Systems
Overview
This unit is designed to introduce students to a range of artificial intelligence techniques.
Requisites
OR
SWE20004 Technical Software Development
OR
COS20011 Software Development in Java
OR
COS30016 Programming in Java *
OR
COS30043 Interface Design and Development
Assumed Knowledge
Object oriented programming at an intermediate level
27-October-2024
Learning outcomes
Students who successfully complete this unit will be able to:
- Explain a range of techniques of intelligent systems across artificial intelligence (AI) and intelligent agents (IA); both from a theoretical and a practical perspective
- Apply different AI/IA algorithms to solve practical problems
- Design and build intelligent systems based on AI/IA concepts
Teaching methods
Hawthorn
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| Live Online Lecture | 2.00 | 8 weeks | 16 |
| On-campus Lecture | 2.00 | 4 weeks | 8 |
| On-campus Class | 2.00 | 12 weeks | 24 |
| Unspecified Activities Independent Learning | 8.50 | 12 weeks | 102 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Examination | Individual | 50% | 1,2 |
| Project | Group | 50% | 1,2,3 |
Hurdle
As the minimum requirements of assessment to pass a unit and meet all ULOs to a minimum standard, an undergraduate student must have achieved:
(i) An overall mark for the unit of 50% or more, and(ii) At least 40% in the final examStudents who do not successfully achieve hurdle requirements (ii) will receive a maximum of 45% as the total mark for the unit.
Content
- Introduction to Intelligent Systems
- Knowledge representation and reasoning
- Intelligent agents and multi-agent systems
- Learning and adaptation
- Evolutionary computing
- Neural networks
- Collective intelligence
- Methodologies and applications
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.