The MOOC is on: Free online courses commence 8th August 2016

MOOC Watch: Free online course explains big data. Queensland University of Technology (QUT) is repeating four free courses on big data with the UK-based massive open online course (MOOC) provider FutureLearn. Our first ever Massive Online Open Course (MOOC) on Big Data attracted more than 40-thousand enrolments for the four courses combined.  These courses are designed…

MOOC Watch: Part 4 commences 27th June: New free online course explains big data

MOOC Watch: New free online course explains big data. Queensland University of Technology (QUT) is launching four free courses on big data with the UK-based massive open online course (MOOC) provider FutureLearn.  The four short courses, each requiring only four hours study over two weeks, are from the university’s Centre of Excellence for Mathematical and Statistical Frontiers. The…

MOOC Watch: New free online course explains big data

MOOC Watch: New free online course explains big data. Queensland University of Technology (QUT) is launching four free courses on big data with the UK-based massive open online course (MOOC) provider FutureLearn. The four short courses, each requiring only four hours study over two weeks, are from the university’s Centre of Excellence for Mathematical and Statistical Frontiers. The…

Visualisation, Big Data, Art + Science 18-19 February 2016

18 – 19 February 2016, Queensland University of Technology, Brisbane QLD Designed to inspire audiences and demonstrate how mathematical sciences, models and various visualisation techniques are closely linked with creativity, story-telling and artistic expression. The event is organised by ACEMS and will be held on 18-19 February 2016 at the Gardens Point Campus,  QUT , Queensland.…

Statistical Modelling and Analysis of Big Data Workshop 23rd February 2015

Statistical Modelling and Analysis of Big Data Workshop 2015 February 23rd 2015 Location: Garden’s Theatre, QUT Gardens Point Campus, Brisbane REGISTRATION: Free, but you must register by Thursday 12 February. Spaces are limited and registrations will be on a first come, first served basis. Please only register if you are sure that you will attend. REFRESHMENTS: Light morning and afternoon…