FIT1063 Topics in computing
Faculty of Information Technology
FIT1063 Topics in computing 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. It has no prerequisites.
- Credit points
- 6
- Offered in 2027
- Semester 1, Semester 2
- Clayton
- Workload
- 144 hours
- per semester
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Overview
This unit introduces you to the breadth of modern computing through a rotating sequence of research-led topics presented by Faculty academics. It showcases how computer scientists formulate questions, model problems, design algorithms, build systems, analyse data, and evaluate evidence across domains such as discrete optimisation, knowledge representation and automated reasoning, planning, machine learning and deep learning, computer vision, neuro-symbolic AI, data science, computational statistics, cybersecurity, theoretical computer science, programming languages, distributed systems, software engineering, human-computer interaction, robotics, data visualisation, and other emerging areas of modern computing and information technology. You will learn how different research areas define problems, choose methods, assess quality, and create scientific, industrial, and societal impact. Through guided reflection, discussion, and short exploratory tasks, the unit helps you identify areas of interest, understand pathways through the degree, and prepare for later engagement in projects, honours, internships, or research with Faculty academics.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Flexible |
| Second semester | Clayton | Flexible |
Learning outcomes
When you finish this unit, you should be able to:
- 1
Describe the core questions, computational methods, and application contexts of a range of computer science and information technology research areas, and explain how theoretical, data-driven, systems-oriented, and human-centred approaches differ;
- 2
Compare selected computing domains by analysing the kinds of problems they address, the models, data, and tools they use, and the criteria by which their solutions are evaluated;
- 3
Locate, interpret, and communicate key ideas from research talks, demonstrations, and introductory academic or technical sources using appropriate written, verbal, diagrammatic, or visual forms;
- 4
Discuss the scientific, industrial, and societal significance of selected computing research areas, including ethical, privacy, security, accessibility, environmental, and inclusion considerations relevant to responsible innovation;
- 5
Reflect on personal interests, strengths, and learning goals to identify future study, project, and research pathways, using AI-enabled and other exploratory tools responsibly, critically, and transparently.
Workload and teaching
- Teaching approachActive 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.
Common questions
What are the prerequisites for FIT1063?
FIT1063 has no prerequisites.
When is FIT1063 offered?
In 2027, FIT1063 runs in Semester 1 and Semester 2 at Clayton.
How much work is FIT1063?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
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
- 2027