Are you looking for the best summer school program? if yes, then apply for the Summer School Canada. This is a 4-day international summer school. The CREATE DAV summer internship will run from May 19-22.

The all-expenses-paid undergraduate summer school program includes talks by CREATE DAV faculty and industry experts on cutting-edge interdisciplinary research topics on big data science, as well as York and OCAD U lab tours. The program covers transportation costs and provides on-campus accommodations and meals. This is one of the top summer programs in Canada. 

The event 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.

CREATE-DAV, a training program funded by NSERC and jointly developed by York University, OCAD University, Concordia University and the University of Toronto.

Summer School Canada:

Host Country:

•Canada

Host University:

•York University

Summer School Duration:

•4-Days

Summer School Dates:

•The Summer School dates are May 19-22.

Research Areas:

•Machine Learning
•Data Mining
•Signal Processing
•Computer Vision
•Geomatics Engineering
•Computer Graphics
•Virtual Human Modeling
•Serious Games
•Natural Language Processing
•Human Perception & Cognition
•Visualization & Design

Financial Support:

The program covers:

•Travel Expenses (up to $1,300 CAD).
•On-campus Accommodations.
•Meals.

Eligibility Criteria:

•Applicants from any part of the world can apply.
•A senior (year 3, preferably) undergraduate students that have a background in Computer Science, Math, Engineering, Psychology, and Data Visualization.
•Current OCAD U’s senior undergraduate and prospective graduate students.

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