MATH 109 Applied Mathematics
Systems of linear equations, matrices, linear programming, exponential growth and decay, mathematics of finance, differential calculus with emphasis on applications.
MATH 111 Applied Calculus
Calculus applied to business, economics, biology, natural resources, and social science.
MATH 112 Trigonometry and Its Applications
Introduction to trigonometry and applications to surveying, navigation, and indirect measurement.
MATH 355 Elementary Statistical Methods
Fundamental concepts and techniques which underlie applications to the various disciplines, including descriptive statistics; averages; random sampling; binomial, normal, Student T, Chi-square, and F distributions; estimations and tests of hypothesis; linear regression and correlation, applications and use of statistical package MINITAB.
MATH 356 Probability and Statistics I
Probability from a set-theoretic viewpoint; random variables and mathematical expectation; discrete and continuous probability distributions; functions of random variables and moment-generating functions.
MATH 357 Probability and Statistics II
Descriptive statistics, Statistical inference: point estimation, maximum likelihood method, confidence interval, and tests of hypotheses; linear regression and correlations.
MATH 358 Actuarial Exam P
Study/discussion of concepts and problems found on recent Actuarial P examinations.
SEMINAR Stochastic Processes I
The objective of this course is to discuss topics in probability and stochastic processes. The course will emphasize more on conditional expectation, Markov chains, and Poisson processes that are widely applied to the study of real life phenomena in actuarial sciences and operations research. However, at the beginning of the course, we will review some basic probability concepts that are needed in our further discussions. This course is accessible to undergraduate students in any major as well as anyone who wants to learn stochastic processes.
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