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1 - 1 of 1 results for: EE 392K: Analysis and Modeling of Big Data from Things That Move

EE 392K: Analysis and Modeling of Big Data from Things That Move

The course will consider data from real-world systems, with an emphasis on ¿things that move¿. Methods of sensing movement, denoising movement data through filtering, and algorithms for reconstructing trajectories from snapshots will be discussed. Principles of creating a ¿movement database¿ and using it for anomaly detection, launching ad hoc queries to get into the movement of large fleets (buses, trains, taxis) and passengers. Novel variants of the traveling salesman problems and its application to delivery systems will also be covered.
Terms: Win | Units: 3 | Grading: Letter or Credit/No Credit
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