### Richard Bedient

Richard Bedient's research and teaching interests are low dimensional topology, knot theory, fractal geometry and chaos theory.

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The curriculum delves deeply into a wide range of the many and varied branches of mathematics. As a math lover at Hamilton, you’ll find yourself congregating with like-minded peers, talking shop outside your professors’ offices in CJ. You’ll learn within a curriculum that delves deeply into the many branches of math and take courses that foster deductive reasoning, persuasive writing and analytical and quantitative problem-solving.

Students explore both the abstract, theoretical aspects of math and its applications to a variety of topics. Working closely with professors, many students produce work that they go on to present at a professional conference. Mathematics is both a popular major and a crucial part of Hamilton’s broader liberal arts curriculum.

I don’t live and breathe what I majored in. However, there’s no doubt in my mind that my Hamilton education was integral in preparing me to do all of the types of things I do today…Hamilton prepared me in so much as it taught me to think.

Mark Kasdorf ’06 — math major

Ancient thinkers recognized that mathematics was the language of the natural world. Today we recognize that it is also the language of science and social science, of business, commerce and industry, even of art and design. Doing math can be as simple as executing a computer search and as momentous as planning a mass evacuation or tracing a disease epidemic, and it assumes ever-greater importance in our lives.

- Financial Analyst,
*The New York Times* - Resident Physician, Westchester Medical Center
- Business Analyst, Federal Reserve Bank of New York
- Professor of Industrial Engineering, Northeastern University
- Software Engineer, Mitre Corp.
- Legal Analyst, Department of Justice
- Data Miner/Predictive Modeler, Verizon Communications
- Math Teacher, Midlakes High School

198 College Hill Road

Clinton, NY 13323

Clinton, NY 13323

the William R. Kenan, Jr. Professor of Mathematics

Professor of Mathematics

Debra Boutin's mathematical interests include graph theory, geometric graph theory and group theory.

Chair, Professor of Mathematics

Among Sally Cockburn's teaching interests are set theory and the philosophical foundations of mathematics.

Associate Professor of Mathematics

Andrew Dykstra's research is in dynamical systems. He is especially interested in symbolic dynamics and ergodic theory.

Assistant Professor of Mathematics

Courtney Gibbons received her doctorate from the University of Nebraska-Lincoln, where she studied homological properties of modules over quadratic algebras.

Professor of Mathematics

Robert Kantrowitz ’82 conducts research in analysis, with particular focus on Banach algebras, automatic continuity and operator theory.

the Samuel F. Pratt Professor of Mathematics

Timothy Kelly has received two awards for teaching from Hamilton.

Assistant Professor of Mathematics

Chinthaka Kuruwita's research is focused on new regression models.

Associate Professor of Mathematics

Michelle LeMasurier has received an excellence in teaching award from Hamilton.

Visiting Assistant Professor of Mathematics

Among David Perkin's favorite academic inventions are courses that link mathematics to other disciplines.

Visiting Assistant Professor of Mathematics

Jacquelyn Rische’s research focuses on mathematical modeling of language learning.

An introduction to linear algebra: matrices and determinants, vector spaces, linear transformations, linear systems and eigenvalues; mathematical and physical applications. *Writing-intensive.* *Quantitative and Symbolic Reasoning.*

An introduction to the principles and methods of applied statistics. Topics include exploratory data analysis, sampling distributions, confidence intervals, hypothesis testing, regression analysis, analysis of variance and categorical data analysis. Extensive reliance on authentic data and statistical computer software. *Quantitative and Symbolic Reasoning.*

An introduction to the theory and applications of graph theory. Topics include: trees; connectivity; Eulerian and Hamiltonian graphs; vertex-, edge- and map-colorings; digraphs; tournaments; matching theory; planarity and Ramsey numbers. *Quantitative and Symbolic Reasoning.*

Theory and applications of partial differential equations. Topics include separation of variables, Fourier series and transforms, and the Laplace, heat and wave equations. *Quantitative and Symbolic Reasoning.*

Study of the mathematical theory underlying statistical methodology. Topics include the law of large numbers, estimation, hypothesis testing, linear models, experimental design, analysis of variance and nonparametric statistics, with applications to a variety of disciplines. *Quantitative and Symbolic Reasoning.*

Number theory is the study of the properties of the positive integers. Topics include divisibility, congruences, quadratic reciprocity, numerical functions, diophantine equations, continued fractions, distribution of primes. *Quantitative and Symbolic Reasoning.*