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.

Curriculum Vitae

Education

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

2015-2016 Academic Year

Fall 2015

MATH 121 Elementary Statistics
An introduction to the science of collecting, organizing, analyzing, and interpreting data. The focus is on data presentation and statistical reasoning based upon the analysis of data sets. Topics include the study of sampling methods, observational and experimental studies, graphical and numerical summaries of data, probability, sampling distributions, significance testing, estimation, and simple linear regression. Does not count toward the major or minor in mathematics.Students cannot take this course concurrently with 225. Students who have received credit for 225 cannot take this course for credit. This course fulfills the QR graduation requirement. Offered every semester.

MATH 121 Elementary Statistics
An introduction to the science of collecting, organizing, analyzing, and interpreting data. The focus is on data presentation and statistical reasoning based upon the analysis of data sets. Topics include the study of sampling methods, observational and experimental studies, graphical and numerical summaries of data, probability, sampling distributions, significance testing, estimation, and simple linear regression. Does not count toward the major or minor in mathematics.Students cannot take this course concurrently with 225. Students who have received credit for 225 cannot take this course for credit. This course fulfills the QR graduation requirement. Offered every semester.

COMP 131 Computer Science I w/Lab
An introduction to Computer Science as a major scientific discipline. Special emphasis is placed on problem solving and experimentation via programming in Java. Topics covered include the design of objects and the use of flow-of-control constructs, along with techniques for testing software. Three hours classroom and two hours laboratory a week. This course fulfills either the Lab Sciences (Division III) distribution requirement or QR graduation requirement. Offered every semester.

MATH 262 Intro to Linear Algebra
An introduction to matrix algebra and abstract vector spaces with an emphasis on writing mathematical arguments. Topics include linear systems and matrices, vector spaces, linear independence, eigenvalues and eigenvectors.Prerequisite: 211 or permission of the instructor. This course fulfills the QR graduation requirement. Offered every semester.

COMP 331 Operations Research
Cross-listed with MATH 331-01.

MATH 331 Operations Research
Cross-listed with COMP 331-01.

COMP 332 Analysis of Algorithms
Completion of both COMP 251 and COMP 332 fulfills the WR Requirement.

MATH 500 Independent Study