QCRI conducts first summer computing camps for kids
QCRI ran two programmes – two separate week-long Young Makers Camps for children aged from 9 to 12, and a two-week Arduino Teen Camp for teenagers aged from 14 to 18 – in late July.
Dr Eman Fituri, QCRI’s Director of Educational Initiatives, said QCRI was considering expanding the programme, which was filled within a day of its announcement. It included fun activities coordinated by the research institute’s scientists.
“We want kids to become creators of technology, we want them to learn how to invent and innovate and solve problems that can assist their everyday lives,” Dr Fituri said.
The Young Makers Camp provided students with hands-on challenges to encourage creative problem solving, teamwork and innovation. Participants in the two-week Arduino Teen Camp used the Arduino platform to learn how to create electronic gadgets that interact with the real world.
QCRI successfully launched its new educational Creative Space at an open house event in May. About 100 children from kindergarten age to Grade 12 registered for the event.
In the Media
Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...
Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.
Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...
Tech fun and robotics computing activities will be available to children attending the annual family celebration from December 12 to 20.
Urban computing experts from Europe, the US and Qatar are to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders.
Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.