Subscribe to Prof. Steve Mann's YouTube channel (hydraulist), which will be used this year (2022) to post the lectures.
You can also subscribe to last year's (2021) YouTube channel.
Prof. Steve Mann (bio), together with a team of super-smart TAs who all know the material really well: Zhao Lu, Jacky Lau, and Samir Khaki, are ready to make your learning experience awesome!
In this course [syllabus for 2022] you will learn how to invent, design, build, and deeply understand:
You will learn from the world's leading experts in imaging, sensing, meta-sensing (metaveillance), and computer vision, both passive (e.g. cameras) and active (e.g. sonar, radar, lidar, etc.), while deeply understanding computer vision and machine learning from first principles (mathematics and fundamental physics).
What you learn in this course applies at any physical scale from wearables to smart cars to smart buildings (clothing is a building built for a single occupant), to smart cities, and from vision-based model craft (model cars, drones, etc.) to full size self-driven transportation systems.
|Schedule||Labs||Philosophy||Opportunities||20-Year ECE516 History|
We're hoping that the most talenented students in this course will help us teach the course while you learn it! Become a "deputy student", meaning that you'll have fun and get additional bonus marks plus an offer for a summer position plus we can help get you into MIT (Prof. Mann's alma mater) or Stanford (Prof. Mann, Visiting Full Professor...).
Please be sure to read this excellent safety manual written by our very own Afshin Poraria.
This work is licensed under "Against DRM 2.0".