15.060 Data, Models, and Decisions, Fall 2007
Name
15-060-fall-2007/contents/index.htm
Size
34.83 KB
Format
HTML
Checksum (MD5)
f10002342aa5f905697623d86e138954
Author(s)
Gamarnik, David
Freund, Robert
Schulz, Andreas
Alternative Title
Data, Models, and Decisions
Date Issued
December 2007
Abstract
This course is designed to introduce first-year MBA students to the fundamental quantitative techniques of using data to make informed management decisions. In particular, the course focuses on various ways of modeling, or thinking structurally about, decision problems in order to enhance decision-making skills. Topics include decision analysis, probability, random variables, statistical estimation, regression, simulation, linear optimization, as well as nonlinear and discrete optimization. Management cases are used extensively to illustrate the practical use of modeling tools to improve the management practice.
Subjects
decision analysis
discrete probability distributions
continuous probability distributions
normal probability distribution
statistical sampling
regression models
linear optimization
nonlinear optimization
discrete optimization
MIT Department
Sloan School of Management
Terms of Use
Persistent DSpace Link
