Industrial and Systems Engineering 529:

Predictive Analytics (3.0 units)

Analytics for supervised and unsupervised statistical learning. Generalized linear models, discriminant analysis, support vector machines. Nonparametric classification, trees, ensemble methods, k-nearest neighbors. Principal components, clustering.
    SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
    31726D048Lecture5:00-7:50pmTuesday17 of 19Cesar Acosta-MejiaSOSB2PDF (312836 KB)feesession dates
    31729D073Lecture5:00-7:50pmTuesday
    30 of 30
    		Cesar Acosta-MejiaONLINEPDF (311840 KB)feesession dates
    31772D073Lecture11:00-2:00pmFriday51 of 54Cesar Acosta-MejiaONLINEPDF (311088 KB)feesession 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.