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.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
30728D034Lecture3:30-4:50pmMon, Wed2 of 20Keith JenkinsDEN@ViterbiPDF (170531 KB)notefeesession datesbook list
30886R034Discussion5:00-5:50pmThursday2 of 20DEN@Viterbisession dates
30730D048Lecture3:30-4:50pmMon, Wed46 of 60Keith JenkinsOHE132PDF (170531 KB)feesession datesbook list
30885R048Discussion5:00-5:50pmThursday46 of 60OHE132session dates
Information accurate as of 3/11/2015 2:55 PM.