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Course Criteria
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3.00 Credits
This course introduces students to strategic decision-making. It considers simultaneous and sequential interactions, repeated interactions among the same players, and interactions where information is incomplete or asymmetric. It provides an applied overview of game theoretical concepts and emphasizes their use in real-world situations. The course also introduces students to the field of behavioral game theory, which integrates insights from psychology into standard economic theory.
Prerequisite:
ECO 346 requires prerequisites of ECO 111, ECO 112, and ECO 351; ECO 251 or MAT 121; MAT 143 or MAT 161; and a minimum 2.50 cumulative average.
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3.00 Credits
Introduction to the theory of income, employment, and growth. Provides the analytic tools necessary for dealing with aggregate economic problems.
Prerequisite:
ECO 348 requires prerequisites of ECO 111; ECO 112; ECO 251 or MAT 121 or MAT 125; MAT 143 or MAT 161; and a minimum 2.50 cumulative GPA.
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3.00 Credits
This course studies the theory and empirical evidence concerning the organization of firms and industries. It examines the structure-conduct-performance paradigm in detail, along with applications such as advertising, patents, durable goods and strategic behavior.
Prerequisite:
ECO 349 requires prerequisites of ECO 111; ECO 112; and MAT 143 or MAT 161.
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3.00 Credits
Economic aspects of such urban problems as poverty, housing, taxation, income distribution, and discrimination. Analysis of economic aspects of various proposed remedies, including urban renewal, family allowances, cooperatives, and others.
Prerequisite:
ECO 350 requires prerequisites of ECO 111 and ECO 112 and minimum 2.50 CUM GPA
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3.00 Credits
This course extends student understanding of descriptive analytics through data visualization and basic statistical inference such as hypothesis testing and analysis of variance. Students will develop predictive analytics tools such as multiple regression analysis, forecasting, data mining, and spreadsheet modeling. The course will stress using statistical software beyond Microsoft Excel to address practical business applications.
Prerequisite:
ECO 351 requires prerequisites of ECO 111 and ECO 112 and ECO 251 or MAT 121 or MAT 125.
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3.00 Credits
This course will develop students' business analytical skills using statistical software (e.g., R). This course emphasizes data analytics to drive business decisions. No (or little) prior coding experience is assumed. Students will gain an intuitive understanding of the analytical and economic concepts and of their proper applications to real-world data problems. Computer skills will be developed through hands-on experiences.
Prerequisite:
ECO 361 requires prerequisites of ECO 351 or STA 200 and a minimum 2.5 cumulative GPA.
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3.00 Credits
Institutions today face both the challenge and the opportunity of big data. This course is designed for business students to build knowledge of data mining using R. Upon the completion of this course, students will be able to apply multiple data mining techniques, such as linear models, Discriminant Analysis, Support Vector Machines, k-Nearest Neighbors, Regression Trees, and Neural Nets, to make predictions and classification.
Prerequisite:
ECO 362 requires prerequisites of ECO 361 and a minimum 2.50 cumulative GPA.
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3.00 Credits
This course will apply the basic tools of economic analysis to the various components of the health care system. Relying on microeconomic principles, we will study the behavior of participants (consumers, providers, insurers) in the health care industry. We will address some key policy issues that surround the provision of health care, as well as considering different health systems. To be successful in this course students must be able to manipulate data and formulas using a spreadsheet package such as Excel.
Prerequisite:
ECO 370 requires prerequisites of ECO 111 and ECO 112 and a minimum 2.50 cumulative GPA.
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3.00 Credits
This course is designed to prepare business professionals to utilize advanced forecasting tools that are commonly used in industry and in the process to deepen their understanding of the role that such forecasting can play in business decision making. Firms continually need to make predictions about future events, including costs, sales, price movements, cash flows, asset values, and even general macroeconomic outcomes that can affect the business environment. Such predictions are regularly used to plan production, allocate resources, set budgets, determine staffing needs, and address many other things of concern to the firm. Making use of a variety of statistical modeling techniques, this course will enable the proper examination of relationships among various pieces of information that a firm has access to and make use of those relationships to project future outcomes for variables of interest. This will include developing the ability to evaluate forecast accuracy through the use of confidence ranges and a variety of statistical tests, as well as learning additional procedures to help increase that accuracy.
Prerequisite:
ECO 371 requires prerequisites of ECO 351 and a minimum 2.50 cumulative GPA.
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3.00 Credits
The role of the environment in an economic system. Topics include energy economics, the economics of renewable and nonrenewable resources, and the economics of pollution.
Prerequisite:
ECO 385 requires prerequisites of ECO 111 and ECO 112 and minimum 2.50 CUM GPA.
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