4th QS MAPLE

May 6-8 2014, Abu Dhabi, UAE

Conference Web Page: http://www.qsmaple.org/4thqsmaple/

You may download Chris Leowski’s presentation’s slides (in PPT and/or PDF formats), the full transcript in PDF format, and a pre-recorded Camtasia-based video of the presentation, from this page, using the following links:

QS MAPLE Presentation – Chris Leowski (PDF format)

QS MAPLE Presentation – Chris Leowski (PowerPoint format)

QS MAPLE Presentation Transcript – Chris Leowski (PDF format)

The links below point at the pre-recorded version of the presentation. The six individual recordings (in 768 x 430 resolution) were made in Camtasia, and subsequently exported to the .mp4 format.

Recorded Presentation – Part 1 – Introduction

Recorded Presentation – Part 2 – Data Life Cycle

Recorded Presentation – Part 3 – Data Search and Retrieval

Recorded Presentation – Part 4 – OLAP

Recorded Presentation – Part 5 – Analytics

Recorded Presentation – Part 6 – Conclusions

Abstract of the presentation

Statistical data – whether economic, social, financial, industrial, ecological, cultural, etc. – collected by national statistical bodies and by international organizations, are frequently made available to academic institutions on special terms, and form the basis for exciting new teaching curricula, as well as provide stimulus for academic research and international academic collaboration. This presentation will show how such repositories were built at the University of Toronto, in cooperation with Statistics Canada and other institutions, and how their use has expanded to over 60 universities in Canada and in the U.S. Other similar on line repositories and analytical portals will be described, and a case will be made for academic collaboration in making real data available to students and researchers, and for building on line analytical tool chests to teach students advanced analytical methods and prepare them for their future careers through immersion in real, dynamic, and changing daily flow of data.