M 562
Advanced Theoretical Big Data Analytics
The University of Montana · UGRD · Fall 2026
1 section
Catalog description
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
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #montana_2-M562Fall 2026UGRD3 credits
- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?