USC Schedule of Classes

Decision making by business firms, consumer preferences and behavior, uncertainty, competition, monopoly, labor and resource markets, efficient resource allocation, externalities, and government policy.

The determinants of aggregate income, employment, and inflation;economic fluctuations; fiscal and monetary policy; financialmarkets; the national debt.

Introduction to statistical methods appropriate for analyzing economic data: probability theory, random variables and probability distributions, sampling, estimation, statistical inference.

Application of statistical methods to economic data: estimating economic relationships using regression analysis, testing hypotheses involving economic behavior, forecasting economic variables.

Contemporary economic problems of East Asian countries: management, labor, technology, trade, investment. Determinants of their high growth rates in the late 20th century.

Determinants and economic consequences of international trade patterns; effects of trade restrictions and trading blocs; trade negotiations and arrangements.

Supervised individual research. Not available for graduate credit. Requires departmental approval.

Introduction and exploration of quantitative methods and data sources used for applied trade policy analysis.

Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Part-time or full-time, practical work experience in the student's field of study. Students must have a specific job/internship offer. Job must be related to students major. The internship must be located at an off-campus facility. Students are individually supervised by faculty. Students must have been in F-1 student status for at least one academic year in a degree-seeking program before they can apply for CPT, with a cumulative 3.0 GPA. Course does not apply to degree credit. Open only to graduate students.

Selected topics in economics as developed by the instructor.

Intership for students in the mathematical finance master's program. Practical training in real market environments. Real-world first-hand experience in implementing trading strategies. Application of mathematical finance to real financial markets.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.

Credit on acceptance of Dissertation. Graded CR/NC.