Industrial and Systems Engineering 568:

Machine Learning (4.0 units)

Statistical methods for building intelligent and adaptive systems that improve performance from experiences; Focus on theoretical understanding of these methods and their computational implications. Recommended preparation: Undergraduate level training or coursework in linear algebra, multivariate calculus, basic probability and statistics; an undergraduate level course in Artificial Intelligence may be helpful but is not required.
  • Crosslist: This course is offered by the CSCI department but may qualify for major credit in ISE. To register, enroll in CSCI 567.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
30079D048Lecture10:00-11:50amMon, Wed71 of 85Yan LiuOHE132notesession dates
30081R048DiscussionTBATBA71 of 85OFFICEsession dates
30265R048QuizTBATBA71 of 85OFFICEsession dates
30213D034Lecture10:00-11:50amMon, Wed17 of 30Yan LiuDEN@Viterbisession dates
30264R034DiscussionTBATBA17 of 30DEN@Viterbisession dates
30266R034QuizTBATBA17 of 30DEN@Viterbisession dates
30339D048Lecture10:00-11:50amMon, Wed124 of 150Yan LiuONLINEnotesession dates
30344R048DiscussionTBATBA124 of 150OFFICEsession dates
30345R048QuizTBATBA124 of 150OFFICEsession dates
Information accurate as of May 19, 2022 5:03 pm.