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.

5103. Statistics and Spreadsheet Modeling

3.00 credits

Prerequisites: Not open for credit to students who have passed BADM 5180, 5181, or OPIM 5103

Grading Basis: Graded

Covers classical inference procedures and basic statistical concepts often essential to interpretation of business data. Students will learn to ask probing questions about the specifics of data and statistical techniques, to understand the conditions for drawing reliable inferences, and to assess the validity of statistical evidence. Topics include: discrete and continuous random variables, sampling, confidence intervals and hypothesis testing. Builds students? abilities for effective quantitative business analysis and communication, using a spreadsheet program such as Excel. Spreadsheet modeling uses such as regression, forecasting, simulation and decision models will be covered, in different functional areas including finance, marketing, operations, and management.

Last Refreshed: 19-SEP-19 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Grading Basis Notes
Fall 2019 12758 Stamford In Person Ramachandran, Rama M20 Reg Mo 7:00pm‑10:00pm
35/40 DWTN 133 Graded
Fall 2019 12050 Hartford In Person Peta, James R10 Reg Th 6:00pm‑9:00pm
38/40 GBLC 406 Graded
Spring 2020 15154 Stamford In Person Ramachandran, Rama M20 Reg Mo 7:00pm‑10:00pm
0/40 Graded
Spring 2020 14679 Hartford In Person Peta, James R10 Reg Tu 6:00pm‑9:00pm
0/40 Graded