By the end of this course, students will have an understanding 
of:
(1)  The principles of economic analysis 
(2)  Methods used for statistical analysis of economic data
(3)  How to define a model for a complex system, identify key 
parameters, determine the range of variation allowed in each 
parameter, and identify the values to use for each parameters 
in the model that will provide the best fit for the system 
being studied.
(4)  Setting up of a system model and performing simulations to 
determine answers for “what if?” scenarios.
(5)  Basic project and company management techniques, 
particularly focused on the use of economic and statistical 
data in decision making
(6)  Development of project budgets, schedules, cash flow 
forecasting and organization structure, particularly related to 
a technically focused company or organization.

1)  The principles of economics and economic analysis, with 
focus on engineering and technology related projects.
2)  Microeconomics, the market economy and resources allocation
3)  Statistical analysis of data
    a)	Data collection and organization
    b)	Analysis of comparison tests, trends, errors
4)  Developing economic and management system models 
    a)	Review of modeling methods
    b)	Model development and validation, error analysis
5)  Application of modeling concepts
    a)	Economic systems case study
    b)	Environmental economics case study
6)  Business management and the use of economic modeling and 
forecasting.
7)  Project and business management techniques using economic 
analysis
    a)	Forecasting: cash flow, staffing
    b)	Scheduling