The course starts by introducing the fundamental concepts of recommender systems such as collaborative filtering and content-based filtering. It then advances to cover the latest innovations in recommender systems such as Social Network-Based Recommender Systems. of current interest in computer science. tracking, color keying, matting, and 3D workflows. Classes include compositing demonstrations, discussions of node-based methods, project critiques, and industry tips. Students will explore various styles of compositing utilizing Nuke, working towards a final project for presentation. Prerequisite: CSC 672.