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Course Criteria
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3.00 Credits
The flow of funds in and out of the national banking system and among various countries will be analyzed. Techniques to forecast changes in the money supply, the demand for money, and the impact on that demand on the interest rates will be evaluated.
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3.00 Credits
The objective of this course is to familiarize the student with the various types of financial institutions within our economy, the operational functions they perform and their impact on the economy. Institutions will be examined from both a "macro" viewpoint - i.e., their role in economy - and a "micro" viewpoint - i.e., as seen by managers and users.
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3.00 Credits
The economic nature of government services, public sector decision making and welfare and efficiency evaluation criteria. Examination of taxation, expenditure and borrowing policies of the government and the use of these policies to manage the economy. Alternate spring semesters.
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3.00 Credits
This course will be a senior seminar that utilizes the latest information about a topic from the related literature and from business. It is a hands-on applications course that includes an extensive examination of a chosen topic. For example, a topic on the use of derivative securities by business. Students work in teams to address the topic. The course outline will vary depending on the topic, which will be announced at the time of the offering.
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3.00 Credits
This course will study a variety of derivative securities including fowards, futures, swaps, options, and related products such as structured notes used in financial and corporate risk management and in creating solutions to financial problems. The course will present both theory, especially pricing models, and applications focusing on the tools and techniques of financial risk management and financial engineering. Financial engineering applies methods and tools commonly used in engineering to financial problems, especially the pricing and hedging of derivative instruments.
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3.00 Credits
The objective of this course is to examine (1) the investment, (2) the financing and (3) the working capital management processes of the multinational firm within the context of market imperfections, foreign exchange risk, political risk, inflation, tax laws and accounting regulations. Within a theoretical framework, the course will emphasize a practical approach.
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3.00 Credits
Case problems confront students with the necessity of making decisions. The case hisories covered in this course encourage students to bridge the gap between classroom study and business action. Specific areas include financing current operations, long-term financing, investment decisions and comprehensive case studies in the field of financial decision-making.
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3.00 Credits
This course will examine the concepts of economic theory and methods in the context of business decision-making. Mathematical and analytical tools will be used to study the behavior of economic agents such as consumers, investors, and the firm. Both theory and application are presented. The tools of economic analysis that are examined include supply and demand analysis, consumer theory, the theory of the firm and production, market structure analysis, pricing strategies, risk management, government economic analysis with decision sciences to develop the essential tools required to make effective management decisions, and for the firm to develop an appropriate competitive market strategy.
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3.00 Credits
An examination of data analytic and quantitative techniques used in public administration. Explores methods for identifying patterns and structure within and between sets of data. Considers criteria for optimal choice in uncertain and sequential decision-making situations. Analyzes regression and correlation models. Investigates time series analysis and forecasting techniques.
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3.00 Credits
An accelerated course in the use of statistical methods to provide managers with the foundation for making consistently effective business decisions. Data analytic techniques are used to diagnose potential managerial problems, as well as to identify entrepreneurial opportunities. Descriptive and inferential statistics, and regression and correlation analysis are explored from a managerial perspective. Statistical software will be used as a basis for data analysis.
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