Informatics 561:

Engineering Data Analytics (3.0 units)

Theory and methods of data analytics emphasizing engineering applications: multivariate statistics, supervised learning, classification, smoothing and kernel methods, support vector machines, discrimination analysis, unsupervised learning.
  • Crosslist: This course is offered by the ISE department but may qualify for major credit in INF. To register, enroll in ISE 529.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
31529D048Lecture3:30-6:20pmFriday
40 of 40
Cesar Acosta-MejiaKAP156PDF (473686 KB)feesession dates
Information accurate as of March 11, 2019 8:08 am.