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: 18-AUG-22 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 17459 Hartford Online Cruz, Jose N40 Reg 24/0 3.00 Graded
Spring 2022 17379 Hartford Online Walsh, Lawrence R12 Reg 41/40 3.00 Graded
Spring 2022 13132 Waterbury In Person Tihaiya, Anurag W31 Reg We 4:00pm‑6:45pm
23/40 WREC 402 3.00 Graded
Fall 2022 11794 Hartford Online Peta, James R12 Reg 41/40 3.00 Graded This is an asynchronous class and will not have set days/times To view the syllabus visit this url;