Courses Taught at Auburn University
Courses Taught at Lamar University
An introduction to calculus. The derivative, applications of the derivative, techniques of differentiation, exponential and natural logarithmic functions, an introduction to integral calculus.
Non-calculus based introduction to statistics, statistical measures of data, statistical description of data, elementary probability, random variables, binomial and normal distributions, estimation, testing hypotheses.
A calculus-based introduction to statistics, probability, special probability distributions, nature of statistical methods, sampling theory, estimation, testing hypotheses.
Probability, well-known distributions, conditional probability, Bayes' formula, Markov chain, counting process, Poisson process, Chapman-Kolmogorov equations, gambler's ruin, branching process.
A formal introduction to statistical inference, sampling theory, general principles of statistical inference, goodness of fit tests, regression and correlation, analysis of variance.
Theory of probability, random variables, well-known distributions, conditional probability, Bayes' formula, Markov Chain, counting process, Poisson processes, Chapman-Kolmogorov equations, gambler's ruin, branching process.
Theories of point estimation, interval estimation and hypothesis testing, regression analysis, analysis of variance.
Introduction to statistical methods and analysis used in engineering and science.
The application of statistical techniques from STAT 3610.
Calculus-based introduction to probability and statistics with an emphasis on practical problem-solving.
Introduction to statistical concepts, reasoning and methods used in data analysis, descriptive statistics, sampling distributions, statistical inference,
confidence intervals, regression or correlation, contingency tables.
Introduction to statistical analysis, theory, and interpretation used in business and economics.
Mathematics Core. Algebra of functions including polynomial, rational, exponential and logarithmic functions. Systems of equations and inequalities,
quadratic inequalities, the binomial theorem.
Mathematics Core. Preparatory course for the calculus sequence. Basic analytic and geometric properties of the trigonometric functions. Complex numbers,
DeMoivre's theorem, polar coordinates.
Mathematics Core. Limits, the derivative of algebraic, trigonometric, exponential, logarithmic functions. Applications of the derivative, antiderivatives, the
definite integral and applications to area problems, the fundamental theorem of calculus.
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