Using big data
Students analyse and interpret actual solar panel data from our Science and Engineering Centre's solar panel.
Students use solar helicopters to investigate how solar panels work and sunlight is converted to electricity.
Tour the Science and Engineering Centre
Through a tour of the building, students will learn more about the centre's 5 star Green Design Certification and how the three different arrangements of solar panels power the building.
|Capacity||16-32 students. If you want to bring more students, email firstname.lastname@example.org|
|When||School days: Monday-Friday|
|Where||QUT Gardens Point, Science and Engineering Centre|
In this half-day workshop, students will see how maths and engineering can work together for a greener built environment. Students will take a tour of QUT's '5-Star Green Star' Science and Engineering Centre to see how this smart building continually monitors and adjusts its internal and external environment to make this one of Brisbane's most environmentally friendly buildings.
They will view live infographics and analyse continuously-collected data from the buildings sensors to evaluate different facilities within the centre.
Topics covered in this workshop:
- data analysis
- urban planning
- environmental engineering.
Book this workshop
You can request a booking for one of these options:
- 1 half-day workshop
- 2 half-day workshops run on the same day. Find more workshops.
You can also add a 30-minute interactive experience at The Cube to your visit.
All bookings are subject to availability of university spaces and presenters
- Investigate, interpret and analyse graphs from authentic data (ACMNA180)
- Identify and investigate issues involving numerical data collected from primary and secondary sources (ACMSP169)
- Describe and interpret data displays using median, mean and range (ACMSP172)
- Some of Earth’s resources are renewable, including water that cycles through the environment, but others are non-renewable (ACSSU116)
- Collaboratively and individually plan and conduct a range of investigation types, including fieldwork and experiments, ensuring safety and ethical guidelines are followed (ACSIS125)
- Construct and use a range of representations, including graphs, keys and models to represent and analyse patterns or relationships in data using digital technologies as appropriate (ACSIS129)
- Reflect on scientific investigations including evaluating the quality of the data collected, and identifying improvements (ACSIS131)
- Investigate techniques for collecting data, including census, sampling and observation (ACMSP284)
- Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206)
- Investigate the effect of individual data values, including outliers, on the mean and median (ACMSP207)
- Construct and use a range of representations, including graphs, keys and models to represent and analyse patterns or relationships in data using digital technologies as appropriate (ACSIS144)
- Use scientific knowledge and findings from investigations to evaluate claims based on evidence (ACSIS234)
- Communicate ideas, findings and evidence based solutions to problems using scientific language, and representations, using digital technologies as appropriate (ACSIS148)
- Identify everyday questions and issues involving at least one numerical and at least one categorical variable, and collect data directly and from secondary sources (ACMSP228)
- Compare data displays using mean, median and range to describe and interpret numerical data sets in terms of location (centre) and spread (ACMSP283)