Intelligent Systems

Study method

100% online

Available loans

FEE-HELP
HECS-HELP

Assessments

Subjects may require attendance

Prior study

Required

This research-based university in Perth has a strong interdisciplinary focus and a reputation for outstanding teaching and ground-breaking research. With more than 22,000 students and 2,000 staff from over 90 countries, and campuses in Dubai and Singapore, Murdoch embraces free thinking, shared ideas and knowledge to make a difference, and Open Universities Australia is certainly part of that.

QS RANKING 2020

Times Higher Education Ranking 2020

2020

Subject details

What you'll learn

On successful completion of this unit you should be able to:

demonstrate an understanding of basic intelligent systems concepts
be able to explain the theory, operation and strengths and weaknesses of state machines, expert systems, fuzzy logic engines, neural networks, genetic algorithms data mining tools and intelligent agents
be able to explain the strengths and weaknesses of state machines, expert systems, fuzzy logic engines, neural networks, genetic algorithms, data mining tools and intelligent agents
be able to choose an appropriate intelligent technique to solve a given problem
know how to use off-the-shelf intelligence tools, including expert system shells artificial neural network and other simulators for solving problems
explain the importance of representation and search in problem-solving
understand the role of applied knowledge in problem-solving
be able to evaluate the capability of an intelligent system to solve a real problem.

Topics covered

- A week-by-week guide to the topics you will explore in this unit will be provided in your study materials.
Study resources
- Instructional methods
  - Online assignment submission
  - Podcasting/Lecture capture
  - Online Quizzes/Tests
- Online materials
  - Resources and Links
  - Printable format materials

Entry requirements

You must have successfully completed the following subject(s) before starting this subject:

MUR-ICT167-Principles of Computer Science ;

Special requirements

No special requirements

Description

This unit offers an introduction to the fundamental concepts and techniques of artificial intelligence focusing on expert systems to solve engineering problems, data mining, data analysis for industries and intelligent agents in computer games. Topics include: introduction to artificial intelligence and applications; introduction to game AI; rule based expert systems; neural computing; fuzzy logic; genetic algorithms, intelligent agents, state machines and methods of evaluating these technologies.

Assessments

Invigilated Exam (50%)
Outline and draft (10%)
Report and Code (20%)
Lab Work (20%)

Textbooks