Teaching

Courses Taught

Graduate

Econometrics and Machine Learning Methods

Econometrics and Machine Learning Methods provides first-year Economics Ph.D. students with a foundation in modern econometric theory and applications. The course is divided into two parts: Part I covers advanced topics in econometrics useful for applied analysis. These include instrumental variables, binary choice, panel methods, and generalized method of moments. Part II focuses on cutting-edge econometric techniques, including machine learning methods for econometrics and extreme value theory with applications to economics and finance.

MSAE Economic Forecasting

Economic forecasting provides Master of Science in Applied Economics students with the fundamentals of forecasting in finance, economics, and business. Topics include predictive regression, trend and seasonal modeling, ARIMA models, multivariate models, spectral analysis, unit roots, cointegration, volatility modeling, and Bayesian analysis.

WebMBA Finance

Finance covers financial risk and return, capital budgeting, valuation, capital structure, working capital management, and contemporary topics in financial management. The course equips students with tools to assess a company’s financial standing relative to the industry, apply time-value-of-money principles to business cash flows, evaluate the feasibility of short- and long-term financial decisions, and understand the relationship between capital structure, risk, and the cost of capital.

MBA Financial Analysis

Financial Analysis studies and evaluates risks, both financial risks and operational risks. The first part of the course teaches the skills needed to evaluate financial risk and return, capital budgeting, valuation, capital structure, and working capital management decisions. The second part of the course teaches how to identify and analyze operational, financial, and strategic risks, and to propose methods for eliminating, mitigating, or transferring them.

Undergraduate

Economics & Business Forecasting

Economics & Business Forecasting covers the fundamentals of forecasting in finance, economics, and business, helping students develop a skill set suitable for their future careers. Topics include predictive regression, trend and seasonal modeling, autoregressive moving average, and multivariate models.

Econometrics

Econometrics encompasses three main areas: (1) probability, which provides a foundation for modeling uncertainties faced by financial investors, insurers, and individuals in everyday life; (2) statistics, which offers techniques for interpreting data, such as insights a marketing department might gather about past consumer purchases; and (3) mean regression, an aspect of statistics dedicated to estimating relationships between two or more variables.

Business Analytics I

Business Analytics I covers fundamental concepts and techniques in business statistics, such as descriptive statistics, probability, probability distributions, and statistical inference. The course emphasizes interpreting statistical analyses and their application in cross-disciplinary business analytics.

Business Analytics II

Business Analytics II focuses on various models commonly used in business analytics, such as regression analysis, forecasting, and optimization techniques. This class highlights interdisciplinary applications of business analytics and presents complex, robust, and adaptable methodologies for predictive analytics.

Financial Derivatives

Financial Derivatives is designed to introduce students to the theoretical and practical aspects of financial futures, options, and other derivatives. The course covers the mechanics of derivatives markets, the various types of derivative investments available, and provides an introduction to determining derivative product values.

Principles of Finance

Principles of Finance is designed to introduce students from all business disciplines to the field of finance. The course begins with a general overview and then explores, in depth, concepts such as financial securities and techniques used in financial decision-making. Topics covered include the time value of money, debt and equity valuation, capital structure, cost of capital, raising and returning capital, and capital budgeting. 

Financial Institutions

Financial institutions focus on measuring and managing the fundamental risks faced by banks. By the end of this course, students will be able to assess interest rate and liquidity risks and understand the benefits and drawbacks of securitization.

Money and Capital Markets

Money and Capital Markets is a comprehensive course designed to introduce the structure of capital markets. It begins with a general overview, then explores concepts such as financial securities and markets, as well as techniques used in financial decision-making.

Economics of Personal Finance

The Economics of Personal Finance introduces essential topics in personal financial management to help students build successful financial skills. The course is activity-based, emphasizing students’ lives as the foundation for their coursework.

Money and Banking

Money and Banking studies the theory and institutional features of the U.S. financial system. It explains the decision-making challenges faced by investors, firms, intermediaries, and the central bank. This course illustrates how these participants interact to determine interest rates and other asset prices, as well as the allocation of funds.

Principles of Macroeconomics

Principles of Macroeconomics is designed to introduce classic macroeconomic issues such as inflation, unemployment, interest rates, exchange rates, and budget deficits. The course will offer a unified framework for tackling these issues and examining the effects of various policies, including monetary and fiscal policies, on individuals’ overall behavior. 

Business Abroad: Greece

Business Abroad adds an essential global learning component to the BBA program for junior and senior students by focusing on the unique challenges organizations face in international operations. Topics covered include, but are not limited to, understanding foreign economic, social, political, cultural, and regulatory environments; the mechanics of importing and exporting; joint ventures, franchising, and subsidiaries; and the international dimensions of various functional areas of business.