Faculty Profile

Richard Forrester

Associate Professor of Mathematics (2002), Department Chair

Contact Information

forrestr@dickinson.edu

Tome Scientific Building Room 235
717.245.1668
http://users.dickinson.edu/~forrestr

Bio

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.

Education

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

2014-2015 Academic Year

Fall 2014

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. This course fulfills the QR 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. This course fulfills the QR 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. This course fulfills the QR graduation requirement. Offered in even numbered fall semesters.