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This unit introduces the basic concepts and methods of Artificial Intelligence (AI) tailored to science, technology, engineering, math, medicine, business, and humanities students. AI is aimed to design machines that can replicate and surpass human intelligence. AI agents include any artificial system that senses its environment, takes actions towards its goals, and improves its performance with experience (e.g., self-driving car, face recognition, automatic language translation, humanoid robot, fraud detection, virtual assistant, and so on). Modern applications of AI are pervasive: they increase industrial efficiency and labour productivity, improve population health, accelerate scientific advances and enhance social interactions. This unit covers the foundations of these multi-disciplinary applications, relating real-world scenarios to simple examples and essential AI methods, such as search, planning and machine learning.
| Study level | Postgraduate |
|---|---|
| Academic unit | Computer Science |
| Credit points | 6 |
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Prerequisites:
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None |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Competency in 1st year mathematics. Exposure to computer programming would be useful but not mandatory |
At the completion of this unit, you should be able to:
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2026
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Normal evening | Camperdown/Darlington, Sydney |
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This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
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