# Chi-Ming Tang

Associate Professor of Mathematics
South Hall 326B
585-245-5480
tang@geneseo.edu

Chi-Ming Tang has been a member of the Geneseo faculty since 1979.

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## Office Hours

• MWF 10:30 - 11:30
• Thurs. 11:00 - Noon
• or by appointment

## Curriculum Vitae

#### Education

• B.S., Tamkang College of Arts and Sciences, China

• M.A., Ph.D., University of New Mexico; 1979

## Classes

• MATH 223: Calculus III

Vector calculus, functions of several variables, partial derivatives, multiple integrals, space analytic geometry, and line integrals.

• MATH 262: Applied Statistics

An introduction to statistics with emphasis on applications. Topics include the description of data with numerical summaries and graphs, the production of data through sampling and experimental design, techniques of making inferences from data such as confidence intervals and hypothesis tests for both categorical and quantitative data. The course includes an introduction to computer analysis of data with a statistical computing package.

• MATH 341: Probability & Applied Stats

Topics include probability definitions and theorems; discrete and continuous random variables including the binomial, geometric, Poisson, and normal random variables; and the applications of statistical topics such as sampling distributions, estimation, confidence intervals, and tests of hypothesis. Both the theory and applications of probability will be included with applications of statistics.

• MATH 366: Math Fdtn of Actuarial Sci-Lab

The purpose of this course is to develop knowledge of the fundamental tools of probability that are useful for quantitatively assessing risk. The application of these tools to problems encountered in actuarial science is emphasized. A thorough command of the supporting calculus is assumed. Additionally, a very basic knowledge of insurance and risk management is assumed.

• MATH 366: Math Fdtn of Actuarial Sci-Lec

The purpose of this course is to develop knowledge of the fundamental tools of probability that are useful for quantitatively assessing risk. The application of these tools to problems encountered in actuarial science is emphasized. A thorough command of the supporting calculus is assumed. Additionally, a very basic knowledge of insurance and risk management is assumed.