[post in progress] TODAY’S AGENDA Follow-up from midterm presentations. Lecture: Traffic & appcessory paradigms, by Brian Langel, Dash & NYU CS. Break Let’s practice literature review. Groups. Varun/Graham/Justin Greg/Matt Michael/Bartosz/Tong Tania/Clàudia Kania/Dimas Will Chanyeon Some Lit Review Resources: Google Scholar Google Patents ACM Digital Library (free access from an NYU or edu account) IEEE Explore ACM […]continue reading Session 8: Vehicle Analytics, Literature Review.
I love midterm presentations. It launches the transitional period in which I start stepping back, and the students start shaping the class in their own way. Our guest critic David Briggs, a director of digital marketing, said that the presentations were inspiring and energizing, and I completely agree. Many senses and many scales were considered […]continue reading Session 7: Midterm presentations.
[Post in Progress] Announcements Columbia’s IoT Mini-Symposium http://projects.studio20nyu.org/ny-tenants/ NYU Urban Democracy Lab Visions of the Connected Home: attend and/or present Boston Chloride level (with Catherine D’Ignazio/Emerson/Public Lab) http://publiclab.org/tag/sensor-journalism Sensor Journalism Webcasts State of the Map Transportation Camp Progress reports and brainstorms: midterms Varun/Graham/Justin Michael/Bartosz/Tong Tania/Clàudia Kania/Dimas Will Greg/Matt Chanyeon Follow-ups on iOS tutorial. GPS shield. Adafruit […]continue reading Session 6: GPS, Midterm prep.
Measured human behavior = capacity for behavior change. Widely accepted in other municipal pursuits, this concept is still under-acknowledged in the field of waste management, as guest lecturer Kate Mytty discussed in her presentation of waste tracking research conducted in the Indian cities Pune and Muzzafar Nagar. Muzzafar Nagar’s informal trash pickers, who live on […]continue reading Session 5: Waste Tracking and Mobile Development
While it’s not generally feasible to learn how to build an iOS app from scratch in one three-hour session, the aim of this crash course is to help you to take the existing Bluefruit LE app and modify it to collect data from any Arduino-compatible sensor. How This Tutorial Works For each feature that you add to the app, […]continue reading QSAT Crash Course: iOS, Swift, CoreLocation (via Arduino+Bluefruit+sensor systems)