Industrial and Systems Engineering 546:

Mathematics of High-Dimensional Data (4.0 units)

Modern developments in data representation/analysis, nonconvex optimization, high-dimensional probability, sketching, clustering, low-rank models, inverse problems, applications in imaging, machine learning, computer vision and neuroscience.
  • Prerequisite: EE 510 and EE 503
  • Crosslist: This course is offered by the EE department but may qualify for major credit in ISE. To register, enroll in EE 546.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
30401D048Lecture10:00-11:50amMon, Wed34 of 37Mahdi SoltanolkotabiCPA203session dates
Information accurate as of February 15, 2023 7:45 am.
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