NBA 6921

NBA 6921

Course information provided by the Courses of Study 2020-2021.

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, Spring.

View Enrollment Information

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

  • 3 Credits GradeNoAud

  • 19287 NBA 6921   LEC 001

    • TR Online Meeting
    • Feb 8 - May 14, 2021
    • Cheng, Y

  • Instruction Mode: Online
    The Instructor for this class will be teaching Virtually. Enrollment limited to: Johnson and Graduate students. Undergraduate students should enroll in NBA 4920. MBA students are advised to enroll in NBA 6920 instead of NBA 6921. There will be no enrollment from a wait list into a class if you have a time conflict or if it will create an overload. Students dropping this course after February 22, 2021 will be assessed a fee of $100. The deadline to drop the class without a “W” is April 5, 2021 @11:59pm but you will still be charged the $100 late fee. This course is a Management Science Elective.