EE/CNS/CS 148: Selected Topics in Computational Vision - Spring 2020
This course will provide students with an introduction to essential topics in modern computer vision, ranging from state-of-the-art algorithms to ethics. Students will also learn how to use tools like cloud computing and crowdsourcing to accelerate computer vision projects.
Prerequisites: calculus, linear algebra, statistics, probability, programming experience. Familiarity with basic machine learning concepts (e.g. overfitting, generalization, supervised vs. unsupervised learning) - CMS/CS/CNS/EE/IDS 155 or CS/CNS/EE 156 would be excellent preparation.
- This course will be taught remotely.
- Instructor: Pietro Perona (email@example.com)
- TA: Serim Ryou (firstname.lastname@example.org)
- TA: Elijah Cole (email@example.com)