*****COURSES ARE SUBJECT TO CHANGE*****
Provides practical knowledge of Kalman filtering and introduces control theory for stochastic processes. Selected topics include: state-space modeling; discrete- and continuous-time Kalman filter; smoothing; and applications in feedback control. Students learn through hands-on experience. Students cannot receive credit for this course and course 245. Enrollment by permission of instructor. (Formerly Applied Mathematics and Statistics 118.) General Education code: SR.
5 Credits
Year | Fall | Winter | Spring | Summer |
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2017-18 |
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2016-17 |
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2015-16 |
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2014-15 |
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