Kevin Hutson has always been interested in applying mathematics to the real world. After earning a masters degree, he worked for a manufacturing company as an operations research analyst trying to help them build a new and efficient manufacturing plant and warehouse. After the plant's successful completion, Dr. Hutson gave up this industrial career to pursue mathematics because he wanted to investigate problems on a deeper level and pursue teaching. However, Dr. Hutson never quite lost the itch to apply his work to a real-world setting and to show students the applications of what they are learning. Whether it's in his classes, research, or consulting projects, he tries to involve students not only in theoretical study of mathematics, but also in how it is used in the real world.  In reconition of his dedication to engaged learning, Dr. Hutson received the 2016 South Carolina Independent Colleges and Universities Excellence in Teaching Award.

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Name Title Description

MTH-110

Finite Mathematics

Topics include: set theory, combinatorics, probability, statistics, matrix algebra, linear programming, Markov chains, graph theory, and mathematics of finance. A student cannot receive credit for this course after credit has been received for MTH-260 or any mathematics course numbered greater than MTH-302.

MTH-120

Introduction to Statistics

Non-calculus based course in elementary probability and statistics. Counting problems, probability, various distributions, random variables, estimation, hypothesis testing, regression and correlation, analysis of variance, and nonparametric methods. A student cannot receive credit for this course and ECN-225 or MTH-341.

MTH-140

Integrated Precalc/Calc I

Introduction to the theory and methods of differential calculus. Topics include functions, graphs, limits, continuity and derivatives. May not be enrolled on a pass-fail basis.

MTH-141

Integrated Precalc/Calc II

Introduction to applications of the derivative and the theory and applications of the definite integral. Topics include: trigonometric functions and their derivatives, applications of derivatives, antiderivatives, the definite integral and applications of the integral.

MTH-145

Calc for Life & Social Science

Introduction to the methods of differential and integral calculus with an emphasis on applications in the management, life, and social sciences. Topics include limits and continuity, differentiation and integration of functions of one variable, exponential and logarithmic functions, and applications.

MTH-150

Analytic Geometry/Calculus I

First course in the standard calculus sequence. Introduction to the theory, methods, and applications of differential calculus and an introduction to the definite integral. Topics include: algebraic and trigonometric functions, limits and continuity, rules for differentiation, applications of the derivative, antiderivatives, and the definition and basic properties of the definite integral.

MTH-151

Analytic Geometry/Calculus II

The second course in the standard calculus sequence. An introduction to the logarithmic and exponential functions, the applications of the definite integral, techniques of integration, indeterminate forms, improper integrals, numerical methods, and infinite series.

MTH-160

Vectors and Matrices

Introduction to the theory of vectors and matrices. Among the topics included are: vectors, vector operations, the geometry of Euclidean space, systems of equations, matrices, matrix operations, special transformations, eigenvalues, and applications of matrix theory.

MTH-235

Operations Research

Application of mathematical modeling and analytical methods to make better decisions. Topics include modeling, algorithm design, discrete linear function optimization with linear constraints, convexity, duality, sensitivity analysis, and optimality criteria.

MTH-241

Introduction to Statistics

Non-calculus based course in elementary probability and statistics. Counting problems, probability, various distributions, random variables, estimation, hypothesis testing, regression and correlation, analysis of variance, and nonparametric methods. A student cannot receive credit for this course and ECN-225 (25) or MTH-341 (47).

MTH-260

Higher Mathematics Transition

Introduction to the main ideas and proof techniques of mathematics with an emphasis on reading, writing and understanding mathematical reasoning. Among the topics covered are logic, proof techniques, sets, cardinality, combinatorial enumeration, mathematical induction, relations, functions, and others selected by the instructor.

MTH-337

Operations Research

Application of mathematical modeling and analytical methods to make better decisions. Topics include modeling, algorithm design, discrete linear function optimization with linear constraints, convexity, duality, sensitivity analysis, and optimality criteria.

MTH-340

Probability

Calculus-based course in probability, covering counting, discrete and continuous probability, random variables, important probability distributions, joint distributions, expectation, moment generating functions, and applications of probability.

MTH-341

Mathematical Statistics

Calculus based course in statistics covering sampling, estimation, hypothesis testing, chi-square tests, regression, correlation, analysis of variance, experimental design, and nonparametric statistics.

MTH-360

Linear Algebra & Matrix Theory

Study of finite dimensional real vector spaces, linear transformations, determinants, inner product spaces, eigenvalues and eigenvectors.

Kevin Hutson's research area is known as Operations Research. It is an area of mathematics that overlaps with many fields, including management science, computer science, and industrial and systems engineering. It focuses on modeling real-world scenarios mathematically and trying to find optimal solutions. For instance, these scenarios could include finding the best ways to assign students to classes, or to route individuals through traffic, or to rank web pages based on queries. Dr. Hutson's early research focused on communications networks and how to efficiently build them and route packages through them. 

Recently, Dr. Hutson began research in the area of ranking algorithms with applications to sports ranking. Together with John Harris, he collaborates with the NCAA to help rank FCS football teams leading up to the playoffs. Many of his undergraduate projects have a community focus, working with the Greenville County School District, the Greenville Health System, and the City of Greenville. Together with Liz Bouzarth​ and John Harris, he created Math and the Mouse, a May Experience course that brings Furman students to Walt Disney World for an inside look into how mathematics, operations research, and statistics contribute to the operations of this popular vacation destination.  

Dr. Hutson has been successful in incorporating students in many areas of his research. In 2011, he received an HHMI Distinguished Mentor Award for mentoring undergraduates in research. He has published in a variety of peer-reviewed research journals and has contributed to articles in ESPN The Magazine, espn.com, and the Huffington Post Science Blog.

Education
Ph.D.
Clemson University
M.S.
Clemson University
B.A.
Hendrix College

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