NBA 6921

NBA 6921

Course information provided by the Courses of Study 2022-2023.

This course introduces students to machine learning techniques used in business applications to draw managerial insights from data. The methods that would be covered include logistic regression, classification trees, clustering, and neural networks. Students will learn to apply these methods in a wide range of settings such as marketing, finance, healthcare and other business areas, and will gain hands-on experience through assignments and a group project. 

When Offered Fall.

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Syllabi: none
  •   Regular Academic Session.  Combined with: NBA 4920

  • 3 Credits GradeNoAud

  • 12573 NBA 6921   LEC 001

  • Instruction Mode: In Person
    Enrollment for Non-Johnson Grad students. Johnson MBAs should take NBA 6920 in the Spring term. Add/Drop Dates: August 15th at 9:00am thru September 6th at 11:59pm. After September 6th permission of the instructor is required to add/drop and a late fee of $100.00 will be charged. If you are dropping after October 17th you will also receive a "W" on your transcript in addition to the late fees. There will be no enrollment from a wait list into a class if you have a time conflict or will put you over your maximum allowed credits. Non-Johnson students may add themselves to the waitlists during their enrollment periods, however Johnson Students have priority into the classes and non-Johnsons will be enrolled: 1) IF seats are still available after Johnson students complete their enrollment period and 2) IF the instructor allows. This course is a Management Science Elective.