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. Corequisites: EE 441 and EE 503.
- Corequisite: (EE 441 and EE 503)
- Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 559.
- Note: Prerequisite taken at USC or placement exam required.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30728D | 034 | Lecture | 3:30-4:50pm | Mon, Wed | 5 of 20 | Keith Jenkins | DEN@Viterbi | PDF (163228 KB) |    |
| 30886R | 034 | Discussion | 5:00-5:50pm | Thursday | 5 of 20 | DEN@Viterbi | | ||
| 30730R | 048 | Lecture | 3:30-4:50pm | Mon, Wed | 54 of 60 | Keith Jenkins | OHE132 | PDF (163228 KB) | |
| 30885R | 048 | Discussion | 5:00-5:50pm | Thursday | 53 of 60 | OHE132 | |