The course covers the theory, algorithms, and systems to for similarity queries, with a focus on recent advances and understandings. Topics include similarity functions and their properties, exact and approximate query processing methods (based on various data structures such as trees, graphs, and Locality Sensitive Hashing), Estimation models for similarity queries. In-class student participation, presentation and discussions are expected.