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St. Francis College · 3 credits · UGRD

Graduate students only. This course introduces students to the key concepts in the field of data mining and enhances understanding of the issues that business organizations face. The course emphasizes concepts, principles, methods, implementation techniques, and applications of data mining, with a focus on pattern discovery, discussion of pattern evaluation measures; and explore their applications. The course will provide an opportunity for hands-on experimentation with algorithms for data mining using software and cases.
Fall 2026 · 2 sections
Sep 9 – Dec 23
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| 7A01Class #27683-BAN-6003-7A01 | Times TBD TBD (Lecture)Thursday Times TBD 12:00 PM - 8:00 PM TBD (Lecture)Friday Times TBD 12:00 PM - 8:00 PM 12:00 PM - 8:00 PM TBD (Lecture)Saturday Times TBD 12:00 PM - 8:00 PM 12:00 PM - 8:00 PM 8:00 AM - 5:00 PM TBD (Lecture)Saturday Times TBD 12:00 PM - 8:00 PM 12:00 PM - 8:00 PM 8:00 AM - 5:00 PM 8:00 AM - 5:00 PM TBD (Lecture) | Not published | Not published |
| 7A01 notes: Hybrid. Meets asynchronous online and for Graduate Academic Residency (in-person)-10/22/26 - 10/25/26 | |||
| 7B01Class #27746-BAN-6003-7B01 | Times TBD TBD (Lecture)Thursday Times TBD 12:00 PM - 8:00 PM TBD (Lecture)Friday Times TBD 12:00 PM - 8:00 PM 12:00 PM - 5:00 PM TBD (Lecture)Saturday Times TBD 12:00 PM - 8:00 PM 12:00 PM - 5:00 PM 8:00 AM - 5:00 PM TBD (Lecture)Saturday Times TBD 12:00 PM - 8:00 PM 12:00 PM - 5:00 PM 8:00 AM - 5:00 PM 8:00 AM - 5:00 PM TBD (Lecture) | Not published | Not published |
|---|---|---|---|
| 7B01 notes: Hybrid. Meets asynchronous online and for Graduate Academic Residency (in-person)-12/17/26 - 12/20/26 | |||