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.
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Cesar Acosta-MejiaKAP156PDF (473686 KB)feesession dates
Information accurate as of January 19, 2019 8:06 am.