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 2021. It needs ITO4131, ITO4136 and ITO4137 and unlocks 10 units.
- Credit points
- 6
- Offered in 2021
- Other periods
- Monash Online
This is the 2021 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
10 units list ITO5047 as a prerequisite or corequisite.
- ITO5032Web applications development No reviews yet
- ITO5129Enterprise IT securityNo reviews yet
- ITO5152User interface design and usabilityNo reviews yet
- ITO5171Software testing, quality and standardsNo reviews yet
- ITO5201Machine learningNo reviews yet
- ITO5214BlockchainNo reviews yet
- ITO5216Discrete optimisationNo reviews yet
- ITO5217Natural language processingNo reviews yet
Enrolment rules
Prerequisite knowledge: Fundamental math with introductory knowledge of probability
This unit is only available to students enrolled into C4009 Graduate Certificate of Computer Science, C5008 Graduate Diploma of Computer Science and C6008 Master of Computer Science.
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, planning, reasoning under uncertainty, machine learning paradigms, and evolutionary algorithms.
Offerings in 2021
| Teaching period | Campus | Mode |
|---|---|---|
| Teaching period 5 | Monash Online | Online |
Learning outcomes
When you finish this unit, you should be able to:
- 1
Explain the theoretical foundations of Artificial Intelligence (AI) - such as the Turing test, Rational Agency and the Frame Problem - 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 logical inference, heuristic search, genetic algorithms, 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 122 hours over the 6 week teaching period should be used to complete assignments, participating in discussions, private study and revision.
Common questions
What are the prerequisites for ITO5047?
You need ITO4131, ITO4136 and ITO4137 before you enrol. Enrolment rules also apply.
What can I take after ITO5047?
ITO5047 is a prerequisite or corequisite for 10 units, including ITO5032, ITO5129, ITO5152, ITO5171, ITO5201 and ITO5214.
When is ITO5047 offered?
ITO5047 has no offerings listed in the 2021 handbook.