USC Schedule of Classes

Fall 2017

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
31529D048Lecture3:30-6:20pmFriday25 of 27Cesar Acosta-MejiaKAP145PDF (22747 KB)feesession dates
Information accurate as of March 4, 2018 5:28 pm.