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, Wed7 of 20Keith JenkinsDEN@Viterbifeesession dates
30728D048Lecture3:30-4:50pmMon, Wed134 of 160Keith JenkinsOHE122PDF (158902 KB)feesession dates
3:30-4:20pm
Mon, Wed
RTH217
30489R034Discussion5:30-6:20pmThursday8 of 20DEN@Viterbisession dates
30565R048Discussion5:30-6:20pmThursday133 of 160OHE122session dates
Information accurate as of July 15, 2020 4:57 pm.
All Summer 2020 courses will be taught remotely. Faculty will contact students to provide information to login to classes.