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.
30260D048Lecture5:00-7:20pmTuesday214 of 230Victor AdamchikSGM124feesession dates
30297R048Discussion1:00-1:50pmThursday24 of 30OHE122session dates
30299R048Discussion2:00-2:50pmWednesday35 of 40SOSB44session dates
40 of 40
WPH207session dates
30301R048Discussion4:00-4:50pmWednesday35 of 40WPH207session dates
30302R001Discussion5:00-5:50pmWednesday24 of 40WPH207session dates
30310R048Discussion12:00-12:50pmThursday18 of 30THH112session dates
30311R048Discussion2:00-2:50pmThursday16 of 40WPH102session dates
30312R048Discussion3:00-3:50pmThursday22 of 30WPH202session dates
30265R048Quiz6:00-8:20pmWednesday214 of 230OFFICEsession dates
30213D034Lecture5:00-7:20pmTuesday14 of 20Victor AdamchikDEN@Viterbifeesession dates
30264R034Discussion1:00-1:50pmThursday14 of 20DEN@Viterbisession dates
30266R034Quiz6:00-8:20pmWednesday14 of 20DEN@Viterbisession dates
Information accurate as of October 9, 2019 8:14 am.
All Summer 2020 courses will be taught remotely. Faculty will contact students to provide information to login to classes.