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Really thorough course with a lot of theory. Covers everything from image filtering and edge detection, to feature detection and description, to image transformations, stereo imaging and camera calibration, to photometry using reflection models and BRDFs, to parameter estimation with RANSAC and tracking with Kalman filters, Bayes filters and particle filters, to Image flow, to color spaces and image segmentation, to image classification, recognition, boosting and face detection, to 3D perception, passive and active 3D sensing and the Kinect, to how vision works on the retina and in the brain. I probably missed a few. Just go check it out.