Courses I teach at Northeastern University

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Applied Econometrics

Econ 2560    Undergraduate -Level      Credit: 4      Department: Economics

Description:

Provides students with basic information analysis skills and tools needed to manage effectively in today’s information-intensive business climate. Exposes students to analytical problems from different areas of business and the quantitative concepts and techniques that can analyze them. Course objectives are to improve the information analysis skills of the students, to provide students with a working knowledge of important statistical tools, to help students become more critical evaluators of studies and reports involving statistical and quantitative methods, and to improve skills in communicating the results of analyses. Offers students the opportunity to learn how to evaluate, analyze, and interpret data, and present their findings and conclusions that will be most useful for managerial decision making through the use of business applications and analytical software.

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Microecomics - Graduate level

Econ 5110   Graduate -Level      Credit: 4      Department: Economics

Description:

Presents a survey of microeconomic theory at the beginning graduate level. Topics include theories of the consumer, firm, and market (including input and output markets), welfare economics, and market failures. Includes applications of theory to public policy questions in such fields as industrial organization and public finance. Requires knowledge of undergraduate microeconomic theory.

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Microeconomic Thoery

Econ 2316    Undergraduate -Level      Credit: 4      Department: Economics

Description:

Examines supply-and-demand analysis, various elasticity concepts and applications, theories of demand and production, and derivation of cost curves. Analyzes pricing and output behavior in the several market structures with their welfare and the pricing of resources.

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Information Analysis

MGSC 6200   Graduate-Level         Credit: 3       Department:  D'Amore McKim School of Busisness

Description:

Provides students with basic information analysis skills and tools needed to manage effectively in today’s information-intensive business climate. Exposes students to analytical problems from different areas of business and the quantitative concepts and techniques that can analyze them. Course objectives are to improve the information analysis skills of the students, to provide students with a working knowledge of important statistical tools, to help students become more critical evaluators of studies and reports involving statistical and quantitative methods, and to improve skills in communicating the results of analyses. Offers students the opportunity to learn how to evaluate, analyze, and interpret data, and present their findings and conclusions that will be most useful for managerial decision making through the use of business applications and analytical software.

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Principles of Microeconomics

ECON1116     Undergraduate-Level     Credit: 4     Department: Econoimcs

Description:

Focuses on development of basic theory of demand, supply, and market price. Explores applications to selected microeconomic problems, such as basic monopoly and competition, and other issues that relate to the role of the pricing system in resource allocation and income distribution.

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Statistics

ECON2350    Undergraduate-Level     Credit: 4     Department: Econoimcs

Description:

Discusses basic probability, descriptive statistics, estimation techniques, statistical hypotheses, sampling, analysis of variance, correlation, and regression analysis in the context of economics. Computer applications are an integral part of the course.

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Business Statistics

MGSC 2301   Undergraduate- Level     Credit: 4     Departmnet: D'Amore McKim School of Business

Description:

Offers students an opportunity to obtain the necessary skills to collect, summarize, analyze, and interpret business-related data. Covers descriptive statistics, sampling and sampling distributions, statistical inference, relationships between variables, formulating and testing hypotheses, and regression analysis in the context of business. Use of the SPSS statistical programming package is an integral part of the course.