Current Students | Applied Economics

What classes do I need to take?

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Course schedule

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View the online course schedule


Course catalog

Applied Economics in the Undergraduate Catalog


Course descriptions

Course Creation Center

Expand and Collapse Required Courses

Expand and Collapse ECN 2230 - Principles of Microeconomics

Focuses on how economists explain the behavior of individuals, how markets direct activities and the policy implications that flow from economic analysis. Emphasis is less on the development of theories and more on the application of theories. Course examines how developments in other fields, most notably evolutionary psychology, have affected microeconomics. Prerequisite: MTH at 1000 level or permission of instructor.

Expand and Collapse ECN 3330 - Managerial Economics

Focuses on how managers can use economic analysis in making decisions. Topics include the theory of consumer behavior, the theory of firm behavior, the theory of behavior under uncertainty, the application of game theory to firm behavior, empirical applications of theories and the role of experimental methods in economic analysis. Prerequisite: ECN 2230.

Expand and Collapse Elective Courses

Expand and Collapse ACC 2210 - Principles of Financial Accounting

An introduction to the preparation and use of financial accounting information. Course includes preparation and analysis of financial statements and related disclosures.

Expand and Collapse Concentrations

Expand and Collapse Information Systems Track

Expand and Collapse CIS 2040 -

Expand and Collapse CIS 3105 - Management Information Systems

Provides an understanding of the ways in which computer- based information systems are used in organizations. This course involves students in the process of developing and modifying information systems which support crucial problem solving and decision-making in organizations. Prerequisite: CIS 1004.

Expand and Collapse MGT 3130 - Quantitative Methods

Includes forecasting, quality assurance, project management and other mathematical models for data analysis. Software is used to solve and illustrate problems and solutions.