IASE News September 2015 Free Online MOOC: Teaching Statistics Through Data Investigations The Friday institute at North Carolina State University, USA, is offering a free online MOOC (massive open online course) titled

Source URL: www.isi-web.org

FACING THE CHALLENGE: UNIVERSITIES IN THE DIGITAL AGE Prof. Anthony C. Masi Provost and Professor of Sociology, McGill University ISSNAF Annual Meeting Embassy of Italy, Washington, D.C.

Source URL: www.issnaf.org

• Online education
• Open educational resources
• Massive open online course
• Iversity
• Coursera
• Educational technology
• Udacity
• Distance education
• EdX

FOREWORD Michael F. Goodchild 1 Geographic information systems date from the 1960s, when computers were mostly seen as devices for massive computation. Very significant technical problems had to be solved in those early

Source URL: www.geog.ucsb.edu

SNSF CONSOLIDATOR GRANT EXTENDED SYNOPSIS ENGINEERING DISCOVERY IN MATHEMATICS PAUL-OLIVIER DEHAYE Abstract. We propose to combine elements of crowdsourcing and Massive Open Online Courses to create collaborative environ

Source URL: user.math.uzh.ch

I AM A MODERN MASTERPIECE www.europe-nikon.com Meet t he D810 Bring the imaging power of a massive 36.3 effective megapixels to a diverse range of scenes.

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Top 5 Reasons to Attend 1. Harness Your Data There are no limits to what you can do with the massive streams of machine data generated by all your IT and business systems and technology infrastructure! Discover how you c

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INTRO One hundred and seventy-five years into the future, Humanity has so far managed not to destroy itself—but for how much longer? Humanity has reached the stars. Massive,

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Guide to Successful Online Freelancing Guide to Successful Online Freelancing Establish Yourself As A Professional Freelancer And Earn Massive Lines Of Clients Hungry For Your Service!

Source URL: ebookdirectory.com

Technical Strategies for Massive Model Visualization Enrico Gobbetti CRS4 ∗ Dave Kasik Boeing †

Source URL: sglab.kaist.ac.kr

Parallel Community Detection for Massive Graphs E. Jason Riedy1 , Henning Meyerhenke1,2 , David Ediger1 , and David A. Bader1 1 2

Source URL: www.cc.gatech.edu