UnitLevel 1Undergraduate

FIT1061 Introduction to artificial intelligence

Faculty of Information Technology

FIT1061 Introduction to artificial intelligence is a level 1, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2026 in Semester 2 at Clayton and Malaysia. It needs FIT1045 or FIT1053 and unlocks 2 units, leading on to 7 units in all.

Credit points
6
Offered in 2026
Semester 2
Clayton, Malaysia
Assessment
No exam
2 tasks
Workload
144 hours
per semester

This is the 2026 handbook entry. See the 2027 entry.

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Requisites

Overview

This unit introduces you to the field of Artificial Intelligence (AI) as a specialisation within Computer Science. It provides an overview of the foundations of AI, including the history, key concepts, and applications across diverse domains such as language, vision, and intelligent decision-making. You will explore introductory AI problem-solving techniques and develop a basic understanding of how AI systems are designed to emulate aspects of intelligence.

In parallel, the unit equips you with the essential mathematical and computational foundations required for later AI units. These include fundamental concepts from linear algebra and vector calculus, introduced in the context of solving simple AI-related problems such as classification and optimisation. Practical labs emphasise hands-on engagement through simulations, mathematical reasoning, and basic AI model-building, along with reflection on the societal and ethical implications of AI technologies.

Offerings in 2026

Teaching periodCampusMode
Second semesterClaytonOn campus
Second semesterMalaysiaOn campus

Assessment

  • PortfolioCompetency hurdle
    100%
  • In class testsQuiz / TestCompetency hurdle
    -

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 scope and foundations of Artificial Intelligence, including its history, core concepts, and real-world applications.

  2. 2

    Describe fundamental mathematical tools and explain their role in solving introductory AI problems.

  3. 3

    Apply basic AI problem-solving techniques such as simple search strategies, classification, or optimisation in the context of case studies.

  4. 4

    Reflect on the ethical use of AI, and demonstrate an ability to guide its impacts to benefit society and the natural environment.

Workload and teaching

  • Laboratories24 hours
  • Workshops24 hours
  • Teaching approachActive learning
  • Teaching approachEnquiry-based learning

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

FIT1061 is part of 1 area of study in the 2026 handbook.

Contacts

Chief Examiners
Associate Professor Julian Garcia Gallego
Unit Coordinators
Dr Ong Huey Fang

Common questions

What are the prerequisites for FIT1061?

You need FIT1045 or FIT1053 before you enrol.

What can I take after FIT1061?

FIT1061 is a prerequisite or corequisite for 2 units, including FIT2111 and FIT2112. Those lead on to 7 units in all.

When is FIT1061 offered?

In 2026, FIT1061 runs in Semester 2 at Clayton and Malaysia.

How much work is FIT1061?

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

Does FIT1061 have an exam?

No. FIT1061 has 2 assessment tasks and no exam.

Which majors and minors include FIT1061?

FIT1061 is part of Artificial intelligence.

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
20262027