Summer School - Data Analytics and Visualization (DAV) 3-6 July 2018, Canada

Publish Date: Feb 21, 2018

Deadline: Mar 26, 2018

Event Dates: from Jul 03, 2018 12:00 to Jul 06, 2018 12:00

Summer School - Data Analytics and Visualization (DAV) at York University


The multi-institutional, interdisciplinary CREATE Program in Data Analytics and Visualization (DAV) at York University in Toronto offers an all-expenses-paid undergraduate summer school on big data science.

The program includes talks by CREATE DAV faculty and industry experts on current research topics in big data science, as well as hands-on experience in York and OCAD U laboratories. The curriculum reflects the wide range of research areas at CREATE DAV, which includes research on machine learning, data mining, signal processing, computer vision, image processing, computer graphics, virtual human modeling, serious games, natural language processing, human perception & cognition, visualization & design.

The program accepts undergraduate students who are interested in pursuing a career a career in the big data science. It is intended mainly for students who are planning to apply to graduate school in late 2018, and are interested in investigating interdisciplinary research aspects of the big data science. Citizens of all countries are eligible.

The program covers all transportation costs and provides on-campus accommodations and meals.


The application package consists of the following:

  • A Completed Online Application Form
  • A Reference Letter - Which should be sent from a referee directly to CREATE DAV Program.

Instructions for Reference Letter Writers

Reference letters can be sent by email to or by mail to Irina Kapsh, CREATE DAV Program, York University, 4700 Keele Street, LAS 1012J, Toronto, Ontario, Canada, M3J 1P3.

In your letter, describe how you know the applicant, their prospects for an academic career, and how they would benefit from attending the summer school.


Please note:

  1. Each day will start at 8:30 am with breakfast
  2. The presentations will start at 9:00 am sharp.
  3. Each day will finish around 5:00 pm

For more information click "LINK TO ORIGINAL" below.

This opportunity has expired. It was originally published here:

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