EECS 442 is an introductory course in computer vision, covering topics such as low-level vision, 2D signal processing, object recognition, image synthesis, 3D reconstruction, and deep learning. As a Graduate Student Instructor, I was responsible for leading recitation sections, creating and grading assignments, and providing office hours support.

Teaching Materials

• Fourier Transforms
• Image Pyramids
• Generative Adversarial Networks

For full course details, please visit the course website.