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Monday, August 27, 2018

SYDE 2018 Graduating Class Profile

Nothing quite gets an engineer going like a thorough quantitative analysis of an insight-filled dataset. This was the opportunity I had in capturing the experience of my graduating class — the Systems Design Engineering (SYDE) Class of 2018.

Monday, August 27, 2018

Striking a chord with electronic takes on classic instruments

For many students, a term project can evoke a lot of emotions, such as excitement, worry, and enthusiasm; but for one class it provided an opportunity to reconnect with their own cultures. Last month, more than 80 students taking SYDE 361 staged a memorable concert featuring electronic instruments that they designed and built.

Friday, August 24, 2018

Amazon Alexa Fellowships for 2018-2019

Waterloo Engineering is the only Canadian school to land a prestigious Amazon Alexa Fellowship program (others include CMU, MIT, Cambridge, etc.).  The program will be coordinated by Professors Alex Wong, Igor Ivkovic, and Shelley Wang in Systems Design Engineering, as Amazon Alexa Ambassadors, with exciting outreach activities to be developed for both SYDE and other engineering students, and with an Alexa innovation lab having co-op opportunities.

Amazon Alexa Fellowship

Monday, August 20, 2018

SYDE / BME Readiness Assessment for new SYDE and BME students starting in 1A in Fall 2018

Due date

Monday, September 10th 2018

The SYDE/BME Readiness Assessment is a diagnostic test. The questions on the assessment cover fundamental background for the courses that students will take in their first term. It is not for credit – rather, a tool to help identify areas where students need support. The assessment can be done from a personal computer with an internet connection. 

Thursday, August 2, 2018

University of Waterloo researchers develop new system to detect pothole problems

Local researchers at the University of Waterloo have developed a new artificial intelligence system to detect problems with roads.

Currently it can take up to 24 people to go through about 13,000 images a day looking for potholes. But the new research suggests computers can do majority of the work faster, and with more accuracy.

All the computer needs is images of the roads that can be taken using something as simple as a smart phone, and then their algorithm will do all the work.