Course Descriptions

Decision Science

DSCI 300 Prescriptive Business Analytics (3)

Yen-Ting Lin

Faculty Email Pending 

CRN 391 Limit 30 
6-week session I (6/5 - 7/14)
1 - 4:15 p.m.

Prerequisite: ITMG 100 and ECON 216
Prescriptive business analytics focuses on helping decision makers solve complex business problems. Students develop skills necessary to define, analyze, and solve problems in all areas of business including operations, marketing, and finance. Students utilize spreadsheets to model, analyze, and develop solution alternatives for a variety of business problems. Among the tools students utilize are modeling, influence diagrams, decision trees, Monte Carlo simulation, optimization techniques, and sensitivity analysis.

DSCI 303 Operations Management (3)

Joan Passovoy

CRN 49 Limit 30
6-week Session I (6/5 – 7/14)
12:15 - 3:30 p.m. 

Prerequisites: ECON 216 and DSCI 300 and (MATH 130 or MATH 150 or MATH 151)
Students employ a managerial perspective to develop a strategic view of operations and supply chain management in a wide range of contemporary contexts (with a primary focus on process management within and across organizations). Students develop critical skills and master material relating to the fundamental role played by operations in the competitive performance of an organization. Among the critical skills and areas of mastery students develop are process analysis, process design, process improvement, supply chain management, capacity planning & control, inventory management, quality planning, quality control, strategic improvement techniques and risk management. The course incorporates concerns for corporate social responsibility. Note: Course will be canceled if there are fewer than eight (8) paid students enrolled as of Monday, May 9.