Fall 2011
Office Hours:

Tues and Thurs:
9:55-11:20am
Wednesday:
12:30-1:00
 

Interests:

Economics
 
Home › School of Business › Daniel R. Strang Faculty Page

Daniel R. Strang

Distinguished Service Professor of Economics

School of Business

 South Hall 117B
1 College Circle
Geneseo, NY 14454
585-245-5365
strang@geneseo.edu

DAn Strang
Faculty Information

Education

  • B.S. Cornell University
  • M.S. Cornell University
  • Ph.D., Business, Marketing, and Agricultural Economics, Cornell University

Research Interests

Professor Strang’s primary research interests focus on the development, use, and pedagogical implications of computerized business simulations. His two computerized business simulations DECIDE and DECIDE P/OM have been used by schools of business at major universities throughout the United States for almost two decades. In addition to the simulations he has written numerous scholarly articles relating to his research interests. His research has been published by The Journal for the American Institute for Decision Sciences, Canadian Journal of Agricultural Economics, Journal of Northeastern Agricultural Economics Council, Simulation and Games, and Association of Business Simulations and Experiential Learning.
My Classes

ECON 101:
Introductory Microeconomics

    A survey introduction to microeconomics with emphasis on the concepts of demand, supply, production, input markets, general equilibrium, and economic efficiency. Attention is given to the problems of income distribution, agriculture, spillover effects, and international trade.

ECON 202:
Business & Economic Statistics

    A survey of the basic statistical tools used in management decision-making and data analysis. Major topics include data organization and presentation, a review of probability concepts, sampling and sampling distributions, statistical estimation and hypothesis testing, and correlation and regression analysis. The course also emphasizes applications of statistical techniques, the use of computerized statistical packages and ethical issues in statistical analysis. Prerequisites: MATH 213 or MATH 221.