MS Behavioral and Computational Economics Learning Outcomes | Chapman University

MS Behavioral and Computational Economics Learning Outcomes | Chapman University
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MS Behavioral and Computational Economics
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MS Behavioral and Computational Economics Learning Outcomes
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Students will be able to describe and provide examples of the effective use of economic
models and experimental procedures, and they will demonstrate the ability to implement
economic modeling techniques in both experimental and computational settings.
Students will be able to formulate appropriate statistical models and hypotheses,
analyze data effectively, and create useful depictions of data and theory.
Students will demonstrate effective written and verbal communication; understand the
social impact of an economic problem in relation to existing literature, and articulate
in homework, presentations and thesis the validity of the research methodology undertaken
and its position in the context of current research results.
Students will be able to recognize interactive decision making environments in which
participants have an incentive to strategically respond to one and other in order
to achieve either competitive or cooperative goals. Students will be able to mathematically
model those environments then use either analytical or computational methods to predict
the behavior that might be observed when participants act in their own interests.
Argyros School
BA Economics Learning Outcomes
BS Accounting Learning Outcomes
BS Business Administration Learning Outcomes
Executive MBA Learning Outcomes
Argyros College of Business and Economics Learning Outcomes
MBA Learning Outcomes
MS Accounting Learning Outcomes
MS Behavioral and Computational Economics Learning Outcomes
MS Real Estate Learning Outcomes
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