- Schedule of Classes - January 25, 2022 7:27PM EST
- Course Catalog - January 25, 2022 7:14PM EST
Course information provided by the Courses of Study 2021-2022.
Learn the diverse data mining techniques used in business applications to recognize patterns and make intelligent use of large amount of data. This includes logistic regression, classification trees, clustering and more. Get a sense of the range of applications of data mining techniques in business, healthcare, and elsewhere, gain hands-on experience through realistic samples and a project using real data.
When Offered Spring.
Seven Week - Second.
Credits and Grading Basis
1.5 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
- TR Sage Graduate Hall B09
- Mar 16 - May 10, 2022
Instruction Mode: In Person
Enrollment limited to: Johnson and Graduate students Add/Drop Dates: Johnson Students January 18th at 8:00am thru February 7th at 11:59pm with an additional Add/Drop period beginning March 16th at 8:00am to March 23rd at 11:59pm. You may add or drop a second-half class after March 23rd 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 April 13th you will also receive a "W" on your transcript in addition to the late fees. Non-Johnson students may add themselves to the waitlists during the 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. Non-Johnson students must see their college registrar regarding policies connected with adding/dropping a second half Johnson School class. A petition may be required. 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. This course is a Management Science Elective.
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