DAPS Industry Problem Solving Workshop

Posted by Jennifer Dungavell
Date January 21, 2013 | Topic: Department News

Work in teams on real industry problems.  Impress industry leaders.  Make employment contacts.  Get trained on state-of-the-art IBM analytics software and hardware.  Free Food.  Win a trophy.  What a great Spring Break!

Students and Faculty Welcome to Particpate

During reading week of the winter term (19th-22nd Feb 2013), Western Science and IBM are hosting the inaugural DAPS Trophy Industry Problem Solving Workshop.

The aim of the workshop is for small to medium sized companies to present a problem they are facing to the talent in data analytics we have at Western Science. If you join us, you will work in a team over 48 hours to produce viable solution strategies for these problems. The solutions will be presented on the morning of the final day to a panel of senior executives from IBM and local industry. The team with the most creative solution will take home the DAPS trophy.

During the four day workshop, students will have presentation and networking skills sessions, opportunities to network with local companies whilst highlighting their skill-set and talent and channel all their data analytic skills into the DAPS trophy competition. IBM are providing expertise and access to cutting-edge data analytic tools and supercomputers.

So.. what's in it for you as a student? - An opportunity to impress industry leaders from IBM and local business - Potential employment opportunities (employers who wish to hire outstanding students will be offered salary subsidies, making this a real possibility) - A line on your resume that distinguishes you as a motivated student who seeks out challenges - Access to continued funding for longer-term research projects stemming from the competition - Free food - Access to, and training on, state-of-the-art IBM analytics software and hardware - If you're the best... a trophy.

Sound interesting? Email Mark Daley ( mdaley2@uwo.ca ) to register as a participant.

This article comes from Department of Statistical and Actuarial Sciences
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