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: 28-SEP-22 05.20.07.134732 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2022 11986 Hartford Online Eigo, Jennifer B12 Reg 34/44 3.00 Graded To view the syllabus visit this url;
Syllabus
This course will be taught in an online (WW) format: online (WW) - These classes never meet in person, nor are you expected to be available at any particular time for classroom instruction. These courses are taught asynchronously with no pre-assigned meeting times. Students will have access to class materials online using HuskyCT. This will allow the Registrar to include that information in the notes in PeopleSoft, so students who are potentially enrolling in your course can be aware of any potential conflicts with the rest of their schedule and other obligations.
Spring 2022 12487 Hartford In Person Prakash, Pankaj B13 Reg We 6:00pm‑9:00pm
25/44 3.00 Graded
Spring 2022 12116 Hartford In Person Prakash, Pankaj B14 Reg Tu 6:00pm‑9:00pm
23/44 3.00 Graded
Spring 2022 17767 Hartford Online Eigo, Jennifer B15 Reg 29/44 3.00 Graded To view the syllabus visit this url;
Syllabus
This course will be taught in an online (WW) format: online (WW) - These classes never meet in person, nor are you expected to be available at any particular time for classroom instruction. These courses are taught asynchronously with no pre-assigned meeting times. Students will have access to class materials online using HuskyCT. This will allow the Registrar to include that information in the notes in PeopleSoft, so students who are potentially enrolling in your course can be aware of any potential conflicts with the rest of their schedule and other obligations.
Spring 2022 12725 Stamford In Person Eigo, Jennifer MS40 Reg We 6:15pm‑9:15pm
25/44 3.00 Graded
Fall 2022 11640 Hartford In Person Peng, Jing B12 Reg Mo 1:00pm‑4:00pm
24/46 GBLC 502 3.00 Graded To view the syllabus visit this url;
Syllabus
Fall 2022 11451 Hartford In Person Cruz, Jose B13 Reg Th 6:00pm‑9:00pm
42/46 GBLC 501 3.00 Graded
Fall 2022 11414 Hartford Online Eigo, Jennifer B14 Reg 46/46
Waitlist Spaces: 20
3.00 Graded
Fall 2022 14255 Hartford In Person Peng, Jing B15 Reg Mo 6:00pm‑9:00pm
39/44 GBLC 407 3.00 Graded
Fall 2022 14256 Stamford In Person Eigo, Jennifer FT40 Reg Mo 1:15pm‑4:15pm
21/42 DWTN 132 3.00 Graded
Fall 2022 12169 Stamford In Person Eigo, Jennifer MS40 Reg Mo 6:15pm‑9:15pm
31/42 DWTN 132 3.00 Graded Must be taken in conjunction with or after OPIM 5603