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This unit provides a practical framework for understanding and applying data science in the built environment. Students will learn the fundamentals of building control systems and also develop skillsets to collect, analyse, and interpret data from various sources such as building systems, sensors, and human responses. The focus is on practical skills, including the use of data analysis tools to parse datasets and extract actionable insights that can lead to enhanced building performance. The unit will also cover the ethical considerations and data governance challenges present in the building sector. By the end of the unit, students will be able to apply data science methods to real-world problems in the context of building operation and intelligent control systems.
Study level | Postgraduate |
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Academic unit | Architecture |
Credit points | 6 |
Prerequisites:
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None |
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Corequisites:
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None |
Prohibitions:
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None |
Assumed knowledge:
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None |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
Session | MoA ? | Location | Outline ? |
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Semester 2 2025
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Block mode | Camperdown/Darlington, Sydney |
Outline unavailable
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This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.