Faculty Profile

Dick Forrester

Professor of Mathematics and Data Analytics (2002)

Contact Information

Data Analytics co-chair; on sabbatical Fall 2024


Tome Scientific Building Room 235


His scholarship is at the interface of operations research, computer science, and data analytics. The majority of his research has centered around the development of techniques for solving applications that can be modeled as nonlinear 0-1 programs. He is also interested in modeling and analyzing real world problems. Some recent projects include optimal crop rotation modeling, assigning students to schools to minimize both transportation costs and socioeconomic variation between schools, and balancing faculty and student preferences in the assignment of students to first-year seminars. As an applied mathematician, his teaching interests primarily center around data analytics, statistics, operations research, computational mathematics, and computer science.

Curriculum Vitae


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

2024-2025 Academic Year

Fall 2024

DATA 180 Introduction to Data Science
Cross-listed with COMP 180-01 and MATH 180-01.

DATA 180 Introduction to Data Science
Cross-listed with COMP 180-02 and MATH 180-02.

DATA 201 Special Topics
Topics to be announced when offered.Prerequisite: Dependent upon topic.

DATA 300 Statistical & Machine Learning
An introduction to the fundamental concepts and methods for statistical and machine learning. Focus is given on providing both a theoretical foundation and the practical skills needed to apply machine learning to a variety of applications in various disciplines. Topics include supervised methods such as regression and classification, and unsupervised methods such as clustering and dimensionality reduction.Prerequisite: COMP/DATA 200 and MATH 225. Offered every semester.