Studying online (if an online offering is shown below)

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

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Unit Overview

Description

This unit is designed to equip students from diverse fields with the foundational knowledge and practical insights needed to understand how AI can be applicable to their domain. Through real-world case studies, hands-on experimentation, and critical reflection, students will investigate various machine learning tasks in classical predictive AI, and explore how foundation models worked to power the Generative AI (GenAI) paradigam shift. Prompt engineering strategies and agentic AI concepts will be introduced with the goal to compare how well various GenAI tools work in different real-world scenarios. A specific focus is on what opportunities they enable, and what risks they pose. This unit empowers students to become informed adopters and thoughtful decision-makers in the age of GenAI.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 2OnlineOnline only

The timetable for this teaching period is not currently available. Please see the Important Dates page for the timetable release date and other key date information.

Outcomes

Students are able to (1) explain the core principles that drive the evolution from Predictive AI to Generative AI; (2) identify key models, tools, and capabilities across modalities (text, image, code, video); (3) experiment with GenAI tools to solve domain-relevant challenges or enhance workflows; (4) discuss strategic opportunities and limitations of GenAI in professional contexts; and (5) formulate ideas for safeguarding and integrating GenAI responsibly in a personal or organisational setting.

Assessment

Indicative assessments in this unit are as follows: (1) project and (2) tests. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Associate Professor Wei Liu
Contact hours
Two hours lecture content, 2-hour workshop per week.
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.