Undergraduate MUR-ICT319-2021
Intelligent Systems
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Your upfront cost: $0
Duration
13 weeks
Study method
100% online
Available loans
- HECS-HELP
Assessments
Subjects may require attendance
Prior study
Required
Study terms
- 30 Aug 2021
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 2021
28
Times Higher Education Ranking 2021
29
Subject details
On successful completion of this subject 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.
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- 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.
You must have successfully completed the following subject(s) before starting this subject:
MUR-ICT167-Principles of Computer Science ;
Others
Note: Level 3 subjects normally assume a moderate level of prior knowledge in this area, eg from studying related Level 1 and 2 subjects.
Special requirements
No special requirements
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.
Please Note: All students studying at Murdoch University will need to complete the compulsory unit, Murdoch Academic Passport (MAP100), which only takes 2-3 hours to complete online. Find out more: http://goto.murdoch.edu.au/MurdochAcademicPassport.
- Invigilated Exam (50%)
- Project proposal (10%)
- Project submission (20%)
- Online quizzes (20%)
Check the learning management system (LMS) of your university for textbook details.
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- Core Subjects
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