Computer Science 559:
Mathematical Pattern Recognition (3.0 units)
Distribution free classification, discriminant functions, training algorithms; statistical classification, parametric and nonparametric techniques; artificial neural networks.
- Corequisite: EE 503 and 1 from (EE 441 or EE 510)
- Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 559.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30561D | 034 | Lecture | 3:30-4:50pm | Mon, Wed | 7 of 20 | Keith Jenkins | DEN@Viterbi |   | |
| 30728D | 048 | Lecture | 3:30-4:50pm | Mon, Wed | 134 of 160 | Keith Jenkins | OHE122 | PDF (158902 KB) | |
| 3:30-4:20pm | Mon, Wed | RTH217 | |||||||
| 30489R | 034 | Discussion | 5:30-6:20pm | Thursday | 8 of 20 | DEN@Viterbi | | ||
| 30565R | 048 | Discussion | 5:30-6:20pm | Thursday | 133 of 160 | OHE122 | |