Matthew Coppenbarger
Associate Professor
School of Mathematics and Statistics
College of Science
585-475-5887
Office Hours
Monday 3-4pm; Tuesday noon-1pm; Friday 2-3pm
Office Location
Matthew Coppenbarger
Associate Professor
School of Mathematics and Statistics
College of Science
Education
BS, University of Arizona; MA, Ph.D., University of Rochester
Bio
Dr. Coppenbarger received a BS in Math and Physics at the University of Arizona before going to the University of Rochester to earn a Ph.D. in Mathematics studying quantum mechanics on graphs. He has taught at RIT since 2001. In addition to the lofty-sounding topics that you might expect a mathematician to study (differential equations, discrete mathematics, combinatorics), Matt shows a particular fondness for puzzles, games, and other things that an eight-year old might find of interest.
585-475-5887
Areas of Expertise
Combinatorics
Game Theory
Set Theory
Recreational Mathematics
Mathematical Modeling
Select Scholarship
Journal Paper
Coppenbarger, Matthew E. "Iterations of a Modified Sisyphus Function." The Fibonacci Quarterly 56. 2 (2018): 130-141. Print.
Coppenbarger, Matthew E. "Iterations of the Words-to-Numbers Function." Journal of Integer Sequences 21. (2018): 1-26. Web.
Currently Teaching
MATH-190
Discrete Mathematics for Computing
3 Credits
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems.
MATH-291
History of Mathematics
3 Credits
This course is an introduction to the history of mathematics that covers some of the major developments in the history of mathematics, their historical background, and the people who made them. It provides the opportunity to study and to write about these topics. The topics will include Pythagoras, Newton and Leibniz, and Cantor.
MATH-322
Combinatorial Game Theory
3 Credits
Combinatorial games are two-player games with perfect information and no randomness or element of chance (such as Go, Chess, and Checkers). The course covers basic techniques of game theory, outcome classes, sums of games, the algebra of games, and top-down induction. Analyses will emphasize no-draw games terminating in a finite number of moves such as Nim, Domineering, Hackenbush, Chomp, and Amazons.
MATH-431
Real Variables I
3 Credits
This course is an investigation and extension of the theoretical aspects of elementary calculus. Topics include mathematical induction, real numbers, sequences, functions, limits, and continuity. The workshop will focus on helping students develop skill in writing proofs.
MATH-495
Undergraduate Research in Mathematical Sciences
1 - 3 Credits
This course is a faculty-directed project that could be considered original in nature. The level of work is appropriate for students in their final two years of undergraduate study.
MATH-498
Independent Study in Mathematical Sciences
1 - 3 Credits
This course is a faculty-guided investigation into appropriate topics that are not part of the curriculum.