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.
30589D911Lecture11:00-1:00pmTue, Thu3 of 20Mohammad reza RajatiDEN@ViterbiPDF (201385 KB)session dates
30590R911Discussion2:00-2:50pmFriday3 of 20DEN@Viterbisession dates
30585D906Lecture11:00-1:00pmTue, Thu44 of 72Mohammad reza RajatiOHE100BPDF (201385 KB)feesession dates
30587R906Discussion2:00-2:50pmFriday44 of 72OHE100Bsession dates
Information accurate as of September 23, 2020 11:00 am.
The Fall 2020 semester will begin with fully remote instruction, with limited exceptions for clinical education. Faculty will contact students to provide information to login to classes. Read more.