M 562

Advanced Theoretical Big Data Analytics

The University of Montana · UGRD · Fall 2026

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Offered spring. Prereq., M 540 and M 561 . Topics include: The notion of canonical information, linear experiment and optimal estimation problem, manipulating information in different forms: raw vs. explicit vs. canonical, Gauss-Markov theorem,calibration problem; real time signal processing with finite and infinite field of view.time series processing; balancing estimation accuracy, delay and computational demands.Image processing with infinite field of view; parallel processing of signals and images. Level: Graduate

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Class #montana_2-M562Fall 2026UGRD3 credits
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