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Prerequisites: STAT 1000Q or 1100Q, or equivalent; open only to non-business majors junior or higher, or permission of Dept. Head. No credit if OPIM 5604 was taken to fulfill undergrad degree. Not open to students who have taken or are taking OPIM 3802.
Grading Basis: Graded
Provides an introduction to the concepts of data and text mining and positions students to structure and successfully complete information analytics projects. Various concepts and approaches are analyzed and subsequently implemented using state-of-the-art analytic toolsets. Each student is required to bring a laptop (with Windows or Mac OS) that can connect to the internet and handle required software (see School of Business specifications).
Last Refreshed: 26-JAN-22 05.20.16.654667 AM
|1223 16091 1 001||Spring 2022||Storrs||In Person||Dougherty, Marshall||001||Reg||Tu 5:00pm‑7:30pm
|1223 16092 1 002||Spring 2022||Storrs||In Person||Lauretti, Steven||002||Reg||We 5:00pm‑7:30pm
|1228 10191 1 001||Fall 2022||Storrs||In Person||Dougherty, Marshall||001||Reg||Tu 5:00pm‑7:30pm
|1228 10192 1 002||Fall 2022||Storrs||In Person||Lauretti, Steven||002||Reg||We 5:00pm‑7:30pm