Courses

ECON 416. Mathematics for Economists. 3 Credits.

Study of mathematical methods in the areas of introductory calculus and linear algebra, and their application to economic analysis. Mathematical analysis of static and dynamic equilibrium models, growth models, distribution, production functions, cycles, activity analysis, mathematical programming, and model building. Prerequisite: MATH 146 or MATH 165. Corequisite: ECON 308. F.

ECON 438. International Money and Finance. 3 Credits.

This course aims to help students understand international finance. The course introduces to the students the foreign exchange market, theory of exchange rate in the short run and in the long run, determinants of capital flows, current account balances, two regimes of exchange rates, exchange rate crises, and Euro. Prerequisite: ECON 309. F.

ECON 504. Microeconomic Theory & Applications. 3 Credits.

Economic theory and methodology; theory of consumer behavior and demand; theory of production and distribution; equilibrium in commodity and factor markets; general equilibrium and welfare; behavior of economic agents in imperfect competition. Particular attention is given to efficiency and equity ramifications of perfectly competitive economic systems. Prerequisite: ECON 308. Prerequisite or Corequisite: ECON 416. F.

ECON 505. Macroeconomic Theory & Applications. 3 Credits.

Advanced study of macroeconomic theoretical models with particular attention to the analysis of business cycles, income growth and evaluation of public policies concerned with inflation and unemployment. Prerequisite or Corequisite: ECON 416. S.

ECON 506. Econometrics. 3 Credits.

Econometric analysis of economic and financial data. Topics include simple linear regression, multiple linear regression, and nonlinear regression functions. Techniques for dealing with violations of the regression models assumptions, including multicollinearity, heteroskedasticity, measurement error, endogeneity, and autocorrelation. Additional topics include binary variables, instrumental variable regression, big data, and time-series models. Estimation and testing of economic models will be an important part of the course. Prerequisite: Admission to the MBA or MSAE program, or department consent required. F,S,SS.

ECON 510. Time Series Methods & Applications. 3 Credits.

This course is an introduction to the econometric analysis of time series data and it provides a comprehensive treatment of modern time series techniques with a focus on applications in finance and macroeconomics. This course covers ARIMA models, analysis of stationary and nonstationary series, unit root tests, vector autoregressions, Granger causality, cointegrating relationships, vector error correction models, forecasting, volatility models, and other topics. Prerequisite: ECON 506. S.

ECON 534. Further Topics in Econometrics. 3 Credits.

This is an applied course in economics, the purpose of which is to build on the tools learned in previous coursework, learn new tools, and discover how to apply these tools to the analysis of data from the real world. The course includes theory, though the focus is on applying the tools of modern econometrics to the study of cross sectional, time series, and panel data. Prerequisite: ECON 506. F.

ECON 545. Quantitative Methods for Impact Evaluation & Causal Inference. 3 Credits.

This course aims to familiarize the student with the current literature on the economics and econometrics of policy and program evaluation . Prerequisite: ECON 506. S.

ECON 565. Demographic Methods for Economics. 3 Credits.

We examine the three key demographic processes: mortality, fertility, and migration . The course emphasis will be on model development for each of the processes. Applications include economic policy issues such as pensions, medical insurance , and other current issues. Prerequisite: ECON 210. SS.

ECON 997. Independent Study. 3 Credits.

The independent study is a capstone for MSAE students on the non-thesis track. The course requires the student to investigate a topic or research question in applied economics that is assigned by the instructor. The student will prepare a research paper demonstrating his/her ability to creatively apply the various methods and perspectives taught in the MSAE program in addressing the assigned problem. Students will also be required to develop a presentation for their paper. Prerequisite: ECON 504, ECON 505, and ECON 506. S.

ACCT 513. Data Analytics in Accounting and Financial Reporting. 3 Credits.

This course prepares students to address business problems support decision decisions through data analysis. Students will develop an intuitive understanding of the concepts, advanced theories, and tools for data analytics. Programing techniques including Python and R are applied to data analytics. Machine learning, data visualization, and RPA (Robotic Process Automation) in accounting are introduced. Prerequisite: ECON 210 or any other statistics or econometrics course. F.

FIN 501. Managerial Finance. 3 Credits.

The development of financial decision-making skills, using the case-analysis method, through application of financial theory to topical areas of analysis, planning, control, asset management, financial instruments, markets, capital structure, dividend policy, cost of capital, etc. Prerequisite: Demonstrate equivalent competencies and skills required in intro econ and stats class (eg complete intro finance); secondary preference is successful completion of Ivy Software's "Understanding Corporate Finance" self-paced course. F,S.