Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5604. Predictive Modeling

3.00 credits

Prerequisites: Open only to MBA, MSBAPM, and MS FinTech students, others with consent. Corequisite: OPIM 5603.

Grading Basis: Graded

Introduces the techniques of predictive modeling in a data-rich business environment. Covers the process of formulating business objectives, data selection, preparation, and partition to successfully design, build, evaluate and implement predictive models for a variety of practical business applications. Predictive models such as neural networks, decision trees, Bayesian classification, and others will be studied. The course emphasizes the relationship of each step to a company's specific business needs, goals and objectives. The focus on the business goal highlights how the process is both powerful and practical.


Last Refreshed: 19-APR-24 05.20.07.775487 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 11386 Hartford In Person Peng, Jing 713 Reg Th 6:00pm‑9:00pm
29/46 GBLC 407 3.00 Graded
Spring 2024 12494 Hartford Online Asynchronous Eigo, Jennifer 714 Reg 47/40 No Room Required - Online 3.00 Graded
Spring 2024 11387 Stamford In Person Eigo, Jennifer 840 Reg We 1:00pm‑4:00pm
12/42 DWTN 131 3.00 Graded
Fall 2024 1072 Hartford In Person 712 Reg We 6:00pm‑9:00pm
5/65 3.00 Graded
Fall 2024 1073 Hartford In Person 713 Reg Th 6:00pm‑9:00pm
1/65 3.00 Graded
Fall 2024 1074 Hartford Online Asynchronous Eigo, Jennifer 714 Reg 30/45 No Room Required - Online 3.00 Graded
Fall 2024 1075 Stamford In Person Eigo, Jennifer 840 Reg Mo 6:15pm‑9:15pm
1/40 DWTN 129 3.00 Graded