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Introduces mathematical tools for communication systems and data science, focusing on stochastic processes and preparing students for advanced courses.
Explores the Bayesian extension of HMM for robot action segmentation and modeling, limitations of classical HMMs, and motion capture data segmentation.
Explores musical expectancy formation, modeling transitions in music, and computational challenges in representing musical structures, concluding with a study on Jazz harmony.
Explores shield synthesis for runtime enforcement in reactive systems, ensuring correct behavior with minimal deviation, illustrated with examples like traffic light controllers and Pac-Man.
