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FIT1060 · Pervasive computing

Official Handbook

2026 Handbook6 credit pointsLevel 1Faculty of Information Technology

Last checked: 23 Aug 2026 UTC

Overview

Computing has become ubiquitous and pervasive, embedded in the everyday objects and environments creating complex, connected systems that influence and shape our lives. In this unit, you are equipped with essential knowledge and skills related to pervasive computing as an essential step towards understanding the complexities of such systems and human-computer interaction. By understanding the principles, technologies, and social implications, you will be prepared for a future where technology seamlessly integrates with our environment. Further, this unit provides a comprehensive understanding of pervasive computing principles and applications, as well as a basis for human-centred AI principles.

Offerings

CampusTeaching periodMode
ClaytonFirst semesterTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Assignment 1 - In-class testQuiz / Test20%
2Assignment 2 - Applied ParticipationExercise10%
3Assignment 3Written30%
4Assignment 4 Project40%

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

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

  1. Explore the history and evolution of pervasive computing and understand the underlying concepts
  2. Describe how to design and develop applications for smart environments.
  3. Evaluate digital sources, synthesize information, and evaluate scholarly explanations regarding pervasive computing.
  4. Apply the concepts of interaction models and user experience design in a real world context-aware system.
  5. Analyze security challenges in pervasive systems
  6. Evaluate the impact of pervasive computing on society, ethics, and culture including potential benefits and risks

Workload

Minimum expected workload to achieve the learning outcomes of this unit is 144 hours per semester comprising a mixture of scheduled face to face learning activities (2 hours workshop and 2 hours applied classes per week) and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

ActivityDuration
Workshops18 hours
Applied sessions30 hours

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