ECE 245: Estim Stochastic Proc
University of California, Santa Cruz
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.)
Average GPA: 3.78
Grade distribution records: 24 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 5 | 20.8% |
| A | 6 | 25.0% |
| A- | 2 | 8.3% |
| B+ | 3 | 12.5% |
| B | 1 | 4.2% |
| P | 1 | 4.2% |
| NP | 1 | 4.2% |
| S | 4 | 16.7% |
| W | 1 | 4.2% |
Based on 24 student grade records across 2 terms and 1 professor.
Instructors
- Dejan Milutinovic 24 students, Average GPA 3.78