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
30561D034Lecture3:30-5:20pmMon, Wed1 of 20Keith JenkinsDEN@ViterbiPDF (389952 KB)feesession dates
30728D048Lecture3:30-5:20pmMon, Wed76 of 160Keith JenkinsOHE122 & ONLINEPDF (389952 KB)notefeesession dates
30489R034Discussion5:30-6:20pmThursday1 of 20DEN@Viterbisession dates
30565R048Discussion5:30-6:20pmThursday76 of 160OHE122 & ONLINEsession dates
Information accurate as of September 10, 2021 5:03 pm.
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