ECON–E 150 Introduction to Economics (3 cr.)
First course in a two-semester sequence, including both macro- and microeconomics, and an emphasis on intuition and concepts. Explains macroeconomics issues such as economic growth and government efforts to regulate the business cycle. Explains microeconomic concepts such as demand/supply and market structures. Will cover topics such as pollution, education, poverty, health, and
ECON–E 200 Fundamentals of Economics (3 cr.)
Second-semester combined course in macroeconomics and microeconomic, with an emphasis on the more graphical and theoretical aspects of principles of economics. Explains macroeconomic issues such as economic growth and the benefits and costs of government activism in trying to regulate the business cycle. Further explains the microeconomic topics such as demand/supply and market structures. Will also cover international business and a variety of policy applications.
ECON–E 280 Applied Statistics for Business and Economics I (3 cr.)
Summary measures of central tendency and variability. Basic concepts in probability and important probability distributions. Sampling, sampling distributions and basic estimation concepts such as confidence interval estimation and hypothesis testing. B.S. in Business students must complete ECON-E 280 and ECON-E 281 in first 80 hours of course work.
ECON–E 281 Applied Statistics for Business and Economics II (3 cr.)
C: MATH-M 119 may be taken concurrently if student earned a grade of B in MATH-M 122. Balanced coverage of statistical concepts and methods, along with practical advice on their effective application to real-world problems. Topics include simple and multiple linear regression, time-series analysis, statistical process control and decision making. Use of Excel in statistical applications required. B.S. in Business students must complete ECON-E 281 in first 80 hours of course work.
ECON–E 321 Intermediate Microeconomic Theory (3 cr.)
Consumer and producer theory; pricing under conditions of competition and monopoly; allocation and pricing of resources; partial and general equilibrium theory and welfare economics.
ECON–E 322 Intermediate Macroeconomic Theory (3 cr.)
Theory of income, employment, and the price level. Study of counter-cyclical and other public policy measures. National income accounting.
ECON–E 323 Urban Economics (3 cr.)
Introduction to basic concepts and techniques of urban economic analysis to facilitate understanding of urban problems; urban growth and structure, poverty, housing, transportation, and public provision of urban services.
ECON–E 333 International Economics (3 cr.)
Forces determining international trade, finance, and commercial policy under changing world conditions; theory of international trade, monetary standards, tariff policy, trade controls.
ECON–E 338 Business & Economic Applications of Geographical Information Systems (3 cr.)
The use of Geographic Information Systems (GIS) has become a standard feature amongst government and corporate agencies either for resource management or planning. In the corporate world, GIS is heavily used in locating businesses or retail outlets, food industries, transportation networks, etc. In this course students will be exposed to various applications of GIS with a primary focus on business and economic issues. This course does not cover GIS programming and development of application programs.
ECON–E 340 Introduction to Labor Economics (3 cr.)
Economic analysis of labor markets, including market structure and labor market policies. Topics include minimum wage, mandated benefits, labor unions, discrimination, welfare policy.
ECON–E 350 Money and Banking (3 cr.)
Monetary and banking system of the United States; problems of money and prices, of proper organization and functioning of commercial banking and Federal Reserve systems, of monetary standards, and of credit control; recent monetary and banking trends.
ECON–E 470 Econometric Theory and Practice (3 cr.)
The purpose of this course is to teach students to model and estimate economic problems effectively. Classical regression analysis and its most important exceptions (special cases) will be addressed. Understanding the intuition behind modeling the system and the subsequent results will also be heavily emphasized.