Decision Models and Analytics

(3 Credits)

An introduction to basic principles and techniques of applied mathematical modeling for managerial decision making (models used in fields such as finance, operations, and marketing). Students learn the use of important analytical methods (e.g., spreadsheet modeling, Monte-Carlo simulation) to recognize their assumptions and limitations and to employ them in decision making. Emphasis is placed on model formulation and interpretation of results, not mathematical theory. Aimed at undergraduates with little prior exposure to modeling and quantitative analysis, but appropriate for all students who wish to strengthen their quantitative skills. More details available at https://sites.google.com/stern.nyu.edu/sterndma/home.