Schedule of Classes

Introduction to mathematics of finance. Emphasis is placed on the applications of mathematical techniques to important financial concepts such as capital budgeting, measures of risk and return, investments, and market efficiency. Techniques of optimization as applied to diversification and portfolio management.

Introduction to descriptive and inferential statistics with an emphasis on business applications. Topics covered include computation and application of descriptive measures, probability distributions, sampling, confidence intervals, hypothesis testing, correlation, and simple linear regression.

Linear and multiple regression, correlation, analysis of variance, contingency tables, time series, decision theory, and non-parametric methods. Data analysis using statistical computer packages.

Deterministic and probabilistic models of management science and use of computer-based support for the decision making process. Models such as linear and integer programming, transportation and assignment problems, CPM/PERT, simulation and queuing models. Applications in a variety of business areas using the computer.