NBA 4920

NBA 4920

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, Spring.

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Combined with: NBA 6921

  • 1.5 Credits GradeNoAud

  • 17316 NBA 4920   LEC 001

  • Instruction Mode: In Person
    • Enrollment limited to: Non-Johnson Undergraduate Seniors and Juniors only. • Add/drop January 17th at 9:00am to January 30th at 11:59pm. • You may only add or drop a first half semester class after January 30th with permission of the faculty AND a late fee of $100.00 will be charged for each add or drop transaction. • If you are dropping after February 20th at 4:00pm 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 if it will create an overload. • Non-Johnson students should see their college registrar regarding policies connected with adding/dropping a second half Johnson School class. A petition may be required.

Syllabi: none
  •   Seven Week - Second.  Combined with: NBA 6921

  • 1.5 Credits GradeNoAud

  • 18487 NBA 4920   LEC 002

  • Instruction Mode: In Person
    • Enrollment limited to: Non-Johnson Undergraduate Seniors and Juniors only. • Add/drop January 17th at 9:00am to January 30th at 11:59pm with an additional add/drop period in March • If you are dropping after March 20th at 11:59pm 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 if it will create an overload. • Non-Johnson students should see their college registrar regarding policies connected with adding/dropping a second half Johnson School class. A petition may be required.