Computer Science 559:
Mathematical Pattern Recognition (3.0 units)
Distribution free classification, discriminant functions, training algorithms; statistical classification, parametric and nonparametric techniques, potential functions; non-supervised learning. Prerequisites: EE 464 or EE 503. Corequisite: EE 441.
- Prerequisite: 1 from (EE 464 or EE 503)
- Corequisite: EE 441
- 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 | 4 of 30 | Keith Jenkins | DEN@Viterbi | PDF (101431 KB) |    |
| 30886R | 034 | Discussion | 5:00-5:50pm | Thursday | 3 of 20 | DEN@Viterbi | | ||
| 30730R | 048 | Lecture | 3:30-4:50pm | Mon, Wed | 38 of 60 | Keith Jenkins | OHE132 | PDF (101431 KB) | |
| 30885R | 048 | Discussion | 5:00-5:50pm | Thursday | 34 of 40 | RTH105 | |