ECE 245Estimation and Introduction to Control of Stochastic Processes
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 145. (Formerly CMPE 245.)
Prerequisite(s): ECE 240 or ECE 241. Knowledge of Matlab is expected. Enrollment is restricted to graduate students.
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When it runs
Spring 2026Open Spring 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Mon Wed Fri 2:40pm–3:45pm | Crown Clrm 203 | D. Milutinovic | Open 12/13 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Dejan Milutinovic | 2.6 / 5 | 3.5 / 5 | 56% | 23 |
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