Dickinson College

Tome Scientific Building Room 235

717.245.1668

http://users.dickinson.edu/~forrestr

His research is in the field of operations research, with particular interest in discrete optimization. His teaching interests primarily center around applied mathematics, including statistics, operations research, and numerical analysis.

- B.A., Alfred University, 1995
- M.S., Clemson University, 1997
- Ph.D., 2002

MATH 211 Discrete Mathematics

An introduction to fundamental mathematical concepts used in mathematics as well as computer science, with an emphasis on writing mathematical arguments. The course presents the principles of mathematical logic and methods of proof such as direct and indirect proofs and mathematical induction. Other topics include sets, functions, relations, matrix algebra, and techniques from elementary combinatorics and graph theory. Prerequisite: 170 or COMP 131 or departmental placement. This course fulfills the WR graduation requirement. Offered every semester.

MATH 211 Discrete Mathematics

An introduction to fundamental mathematical concepts used in mathematics as well as computer science, with an emphasis on writing mathematical arguments. The course presents the principles of mathematical logic and methods of proof such as direct and indirect proofs and mathematical induction. Other topics include sets, functions, relations, matrix algebra, and techniques from elementary combinatorics and graph theory. Prerequisite: 170 or COMP 131 or departmental placement. This course fulfills the WR graduation requirement. Offered every semester.

MATH 225 Probability and Statistics I

An introduction to the core topics of probability and statistics. Topics include discrete and continuous random variables, joint distributions, expectation, variance, random sampling from populations, hypothesis tests, and confidence intervals.Prerequisite: 171. Offered in even numbered fall semesters.

MATH 500 Independent Study

MATH 560 Stu/Faculty Collaborative Rsch

MATH 325 Probability and Statistics II

A continuation of Introduction to Probability and Statistics I. Topics include additional discrete and continuous distributions, conditional distributions, additional hypothesis tests, simple linear regression and correlation, multiple linear regression, analysis of variance, and goodness of fit tests. Special topics may include nonparametric tests, nonlinear regression, and time series analysis.Prerequisites: 171, 225 and completion of, or concurrent registration in 270. This course fulfills the QR graduation requirement. Offered in odd numbered spring semesters.

MATH 325 Probability and Statistics II

A continuation of Introduction to Probability and Statistics I. Topics include additional discrete and continuous distributions, conditional distributions, additional hypothesis tests, simple linear regression and correlation, multiple linear regression, analysis of variance, and goodness of fit tests. Special topics may include nonparametric tests, nonlinear regression, and time series analysis.Prerequisites: 171, 225 and completion of, or concurrent registration in 270. This course fulfills the QR graduation requirement. Offered in odd numbered spring semesters.

MATH 560 Stu/Faculty Collaborative Rsch