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.
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 05.20.21.840943 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Enrollment||Location||Credits||Grading Basis||Notes|
|1223 17459 1 N40||Spring 2022||17459||Hartford||Online||Cruz, Jose||N40||Reg||24/0||3.00||Graded|
|1223 17379 1 R12||Spring 2022||17379||Hartford||Online||Walsh, Lawrence||R12||Reg||41/40||3.00||Graded|
|1223 13132 1 W31||Spring 2022||13132||Waterbury||In Person||Tihaiya, Anurag||W31||Reg||We 4:00pm‑6:45pm
|1228 11794 1 R12||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;