UnitLevel 1Undergraduate

FIT1059 Artificial intelligence: Concepts and tools for impact

Faculty of Information Technology

FIT1059 Artificial intelligence: Concepts and tools for impact is a level 1, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2027 in Semester 1 and Semester 2 at Clayton and Malaysia. It has no prerequisites and unlocks 3 units, leading on to 7 units in all.

Credit points
6
Offered in 2027
Semester 1, Semester 2
Clayton, Malaysia
Assessment
No exam
3 tasks
Workload
144 hours
per semester

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Requisites

Overview

AI is reshaping how people learn, work, create, communicate and make decisions, but its impact depends on the values, choices and systems that shape how it is designed and used. This unit introduces artificial intelligence as both a set of powerful technologies and a sociotechnical force with significant social, ethical, environmental, political and economic consequences.
You will explore foundational AI concepts, engage with contemporary AI tools, and examine how design frameworks can guide the creation, evaluation and improvement of AI-enabled systems. Through practical activities and case studies, you will investigate how AI systems are developed and used, how trust and authority are attached to AI outputs, how AI can reproduce or amplify inequities, and how incentives, institutions and infrastructure shape the direction of AI development.
The unit develops your ability to use and evaluate AI tools critically, responsibly and effectively. You will analyse existing AI technologies, consider their impacts across different communities and contexts, and propose ways they could be redesigned or governed to better align with societal values, responsible innovation practices and equitable outcomes.

Offerings in 2027

Teaching periodCampusMode
First semesterClaytonFlexible
Second semesterClaytonFlexible
October intake teaching period, Malaysia campusMalaysiaOn campus

Assessment

  • QuizzesQuiz / Test
    20%
  • Project
    60%
  • RoleplayDemonstration
    20%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Explain the similarities and differences between artificial intelligence and other technologies in the context of their introduction to society and the environment;

  2. 2

    Communicate the strengths, potential benefits, limitations and impacts of applying artificial intelligence in different contexts using clear language appropriate to the audience and context;

  3. 3

    Identify and explain the social, ethical, legal and environmental challenges associated with artificial intelligence systems, outlining plausible pathways for addressing them;

  4. 4

    Evaluate and select artificial intelligence tools that are appropriate for a specific application and context, and identify situations where artificial intelligence use would be inappropriate;

  5. 5

    Purposefully apply artificial intelligence concepts and tools in a variety of contexts, appreciating the complexity of its implications in each, and attempting to minimising its drawbacks.

Workload and teaching

  • Applied sessions24 hours
  • Seminars24 hours

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

Where it fits

FIT1059 is part of 3 areas of study in the 2027 handbook.

Contacts

Chief Examiners
Tien Tsin Wong

Common questions

What are the prerequisites for FIT1059?

FIT1059 has no prerequisites.

What can I take after FIT1059?

FIT1059 is a prerequisite or corequisite for 3 units, including FIT1066, FIT2118 and FIT2131. Those lead on to 7 units in all.

When is FIT1059 offered?

In 2027, FIT1059 runs in Semester 1 and Semester 2 at Clayton and Malaysia.

How much work is FIT1059?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does FIT1059 have an exam?

No. FIT1059 has 3 assessment tasks and no exam.

Which majors and minors include FIT1059?

FIT1059 is part of Applied artificial intelligence and Business AI systems.

More details

Credit points
6
Level
1
Study level
Undergraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available
Handbook years
202520262027