INFSCI 2160 DATA MINING
Description
Minimum Credits: 3Maximum Credits: 3
Introduction to data mining techniques, including data preprocessing, data mining primitives, association rules, decision trees, cluster analysis, classification and machine learning, data visualization, and data warehousing. Detailed applications from a wide variety of domains.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PREQ: INFSCI 2020 (B or greater) or INFSCI 2725 (B or greater) or INFSCI Exemption-Analytics Component (Test Score 6 or higher);
Current Sections
Spring 2021
| Class No. | Days | Times | Room | Instructor(s) | TA(s) | Type | Session |
|---|---|---|---|---|---|---|---|
| 26165 (1010) | M | 6:30 pm - 9:20 pm | ALUM 323 | Y. Lin | LEC | SE3 |
Future Sections
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Fall 2021
| Class No. | Days | Times | Room | Instructor(s) | TA(s) | Type | Session |
|---|---|---|---|---|---|---|---|
| 23384 (1050) | M | 6:00 pm - 8:50 pm | IS 305 | Y. Lin | LEC | SE3 |
Past Sections
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Fall 2020
| Class No. | Days | Times | Room | Instructor(s) | TA(s) | Type | Session |
|---|---|---|---|---|---|---|---|
| 31572 (1010) | Tu | 1:15 pm - 4:05 pm | BENDM 157 | Y. Lin | LEC | AT |
Spring 2020
| Class No. | Days | Times | Room | Instructor(s) | TA(s) | Type | Session |
|---|---|---|---|---|---|---|---|
| 27028 (1010) | Tu | 6:00 pm - 8:50 pm | IS 305 | M. Berezo | LEC | SE3 |