NBA 4920
Last Updated
- Schedule of Classes - January 8, 2020 7:14PM EST
- Course Catalog - January 8, 2020 7:15PM EST
Classes
NBA 4920
Course Description
Course information provided by the Courses of Study 2019-2020.
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.
Regular Academic Session.
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Sage Graduate Hall B01
- Aug 29 - Nov 1, 2019
Instructors
Anand, P
- TR Sage Graduate Hall B10
- Nov 2 - Nov 13, 2019
Instructors
Anand, P
- R Kennedy Hall 213
- Nov 14, 2019
Instructors
Anand, P
- TR Sage Graduate Hall B10
- Nov 15 - Dec 9, 2019
Instructors
Anand, P
- T Sage Graduate Hall 141
- Dec 10, 2019
Instructors
Anand, P
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Additional Information
*Open to Non-Johnson Graduate and UG Srs/Jrs ONLY* Non-Johnson Students ONLY: August 20th at 8:00am thru September 12th at 4:00pm. You may add or drop a full semester class after September 12th with permission of the faculty. A late fee of $100.00 will be charged for each add or drop transaction. If you are dropping after October 24th 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.
Department Consent Required (Add)