ITO5047 Fundamentals of artificial intelligence
Faculty of Information Technology
ITO5047 Fundamentals of artificial intelligence is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology. It isn't offered in 2025. It needs (MAT9004 or ITO4001) and (ITO4133 or ITO4131) and unlocks 2 units.
- Credit points
- 6
- Offered in 2025
- Other periods
- Monash Online
- Assessment
- No exam
- 8 tasks
This is the 2025 handbook entry. See the 2027 entry.
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Requisites
Before ITO5047
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
After ITO5047
2 units list ITO5047 as a prerequisite or corequisite.
Enrolment rules
Prerequisite For students enrolled in C4015, there is no prerequisite.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit introduces the main problems and approaches to designing intelligent software systems including automated search methods, knowledge representation and reasoning, reasoning under uncertainty, neural networks and machine learning paradigms.
Offerings in 2025
| Teaching period | Campus | Mode |
|---|---|---|
| Teaching period 1 | Monash Online | Mo |
| Teaching period 4 | Monash Online | Mo |
Assessment
- Assignment 1Written30%
- Assignment 2Written20%
- Assignment 3Written35%
- Assignment 4Written15%
- Assignment 1Written30%
- Assignment 2Written25%
- Assignment 3Written35%
- Assignment 4Written10%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Explain the theoretical foundations of Artificial Intelligence (AI) that underpin the application to information technology and society;
- 2
Critically explain, evaluate and apply appropriate AI theories, models and/or techniques in practice - including formal reasoning techniques, heuristic search, neural network based reasoning, supervised and unsupervised machine learning and Bayesian inference;
- 3
Utilise appropriate software tools to develop AI models or software; and
- 4
Utilise and explain evaluation criteria to measure the correctness and/or suitability of models.
Workload and teaching
- Teaching approachOnline learning
A minimum of 144 hours over the 6 week teaching period should be used to complete assignments, participating in discussions, private study and revision.
Learning resources
Technology resources
Python, Netica, and Weka.
Contacts
- Chief Examiners
- Professor Jianfei Cai
Common questions
What are the prerequisites for ITO5047?
You need (MAT9004 or ITO4001) and (ITO4133 or ITO4131) before you enrol. Enrolment rules also apply.
What can I take after ITO5047?
ITO5047 is a prerequisite or corequisite for 2 units, including ITO5217 and ITO5221.
When is ITO5047 offered?
ITO5047 has no offerings listed in the 2025 handbook.
Does ITO5047 have an exam?
No. ITO5047 has 8 assessment tasks and no exam.