The Statistical Society of Australia is pleased to announce the following workshop:
Statistical Modelling and Analysis of Big Data Analytics: an Overview
presented by Professor Kerrie Mengersen, Queensland University of Technology (QUT), ARC Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS)
on Sunday, 4 December 2016 at the Realm Hotel, Canberra.
About the Presenter
Professor Mengersen is a Professor of Statistics in the School of Mathematical Sciences and Institute for Future Environments at QUT. She has around 25 years of experience in statistical modelling, analysis and computation, with particular focus on applications in health, environment and industry. Her expertise includes analysis and integration of complex datasets, encapsulation and effective use of expert information, spatio-temporal analysis and complex systems modelling. In addition to academic outputs comprising over 250 journal articles, she has a continuous record of commercial consultancies with selected relevant clients including Corrs Chambers Westgarth (risk), Goronickel (design), Qld Environmental Protection Agency and Healthy Waterways (water quality), Port of Brisbane (prediction), Qld Dept Natural Resources (environmental statistical modelling and analysis), Western Mining Company (analysis) and Dairy Australia (triple bottom line sustainability). Professor Mengersen is a Deputy Director of the ARC Centre of Excellence in Mathematical and Statistical Frontiers for Big Data, Big Models and New Insights (ACEMS), and an ARC Laureate Fellow.
About the course
“Big data analytics” is the buzz slogan of the century. This short course provides an overview of this topic, tailored for statisticians.
The workshop is designed for researchers and professionals who have quantitative skills and who want to ‘see what all the fuss is about’. Note that it will not include detailed ‘how to’ instructions.
The course will be structured as follows.
9.00am – 10.30am : Introduction to big data
Big data management and manipulation
10.30am – 11.00am : Break
11.00am – 12.30pm : Statistical and machine learning methods for analysing big data
12.30pm – 1.30pm : Lunch
1.30pm – 3.00pm : Mathematical modelling for big data
3.00pm – 3.30pm : Break
3.30pm – 5.00pm : Visualisation of big data
Early Bird (until 6 November 2016)
SSA Members – $230
SSA Student Members** – $150
Non-SSA Members – $350
Non-SSA Student Members** – $170
After 6 November 2016
SSA Members – $280
SSA Student Members** – $180
Non-SSA Members – $400
Non-SSA Student Members** – $200
**Proof of Valid University ID required
Registrations close strictly on Monday, 28 November 2016. Should places be available after this date late registrations may be accepted. Late registrations will incur a $100 late registration fee.
The course fee includes morning and afternoon tea as well as lunch.
Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.
Cancellations received prior to Thursday, 24 November 2016 will be refunded, minus a $20 administration fee.
From 24 November 2016 no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to [email protected].
|Time:||9:00 am - 5:00 pm|
18 National Circuit,