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.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
30561D034Lecture3:30-4:50pmMon, Wed4 of 20Keith JenkinsDEN@ViterbiPDF (191673 KB)feesession datesbook list
30728D048Lecture3:30-4:50pmMon, Wed96 of 118Keith JenkinsOHE122PDF (191673 KB)feesession datesbook list
30489R034Discussion5:30-6:20pmThursday7 of 20DEN@Viterbisession dates
30565R048Discussion5:30-6:20pmThursday93 of 118OHE132session dates
Information accurate as of May 24, 2019 4:46 pm.