Data Sciences and Operations 607:

High Dimensional Statistics and Big Data Problems (3.0 units)

Overview of cutting-edge developments of methodologies, theory, and algorithms in high-dimensional statistical learning and big data problems; their applications to business and many other disciplines. Recommended preparation: Courses in calculus, linear algebra, and linear regression.
  • Restriction: Registration open to the following class level(s): Doctoral Student
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
16322R033Lecture1:00-3:50pmMonday11 of 15Jinchi LvHOH114session 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.