Unit of study_

INFO4994: AI Literacy and Competency

2026 unit information

AI literacy enables a set of competencies for individuals to evaluate AI technologies critically; communicate and collaborate effectively with AI; responsibly use AI as a tool, and effectively manage their education and professional roles in the age of AI. This Advanced Topics unit is designed to equip students with the knowledge and skills necessary to thrive alongside artificial intelligence. The imperative for this unit of study stems from the pervasive integration of AI into academic, professional, and personal life, requiring all citizens to understand and critically engage with these powerful tools. The content is structured around four core pillars: first, providing a foundational understanding of AI's scope and technical dimensions; second, building hands-on proficiency in interacting with generative AI technologies; third, instilling the principles of critical, ethical, and responsible AI usage; and finally, enabling students to analyze and articulate the broad implications of AI on society, ensuring graduates are prepared to responsibly engage with AI as users and/or technology developers.

Unit details and rules

Managing faculty or University school:

Engineering

Study level Undergraduate
Academic unit Computer Science
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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None

At the completion of this unit, you should be able to:

  • LO1. Identify and define the key concepts and principles underlying AI paradigms, such as machine learning, natural language processing, computer vision, robotics, and cognitive systems
  • LO2. Understand how to select tools and use Generative AI, including prompt engineering, to support and enhance their learning.
  • LO3. Understand how to critically examine the societal and ethical implications of AI, especially in educational contexts.
  • LO4. Analyse privacy, bias, algorithmic fairness, data security, and the impact of AI automation on education and employment.
  • LO5. Critically evaluate the advantages and limitations of employing AI.

Unit availability

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Session MoA ?  Location Outline ? 
Semester 1 2026
Normal day Camperdown/Darlington, Sydney
Session MoA ?  Location Outline ? 
Semester 1 2021
Supervision Remote
Semester 2 2021
Supervision Remote
Semester 1 2022
Supervision Camperdown/Darlington, Sydney
Semester 1 2022
Supervision Remote
Semester 2 2022
Supervision Camperdown/Darlington, Sydney
Semester 2 2022
Supervision Remote
Semester 2 2023
Supervision Camperdown/Darlington, Sydney

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Modes of attendance (MoA)

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