Mathematics is an intellectually vital and beautiful field of study, one which has a history of four millennia, but in which new discoveries are made regularly. A bachelor's degree in mathematics, combined with a broad-based education, will offer a valuable edge: the ability to think clearly, to solve problems, to make decisions, and to communicate effectively. Students who major in mathematics can, in coordination with their advisers, choose a course of study which leads to career and graduate school opportunities in pure mathematics or applied mathematics. A major in mathematics, combined with teacher certification, will allow students to enter the teaching occupation at the secondary level. Candidates with these qualifications are in high demand throughout the country. With guidance from faculty advisers, students can also pursue other interdisciplinary studies, combining mathematics with biology, economics, physics, and other fields. Students may choose to concentrate their mathematical studies in a particular area as an applied interest. Formal concentrations are offered in: Actuarial and Financial Mathematics, Mathematical Physics, and Statistics. These concentrations join critical courses from pure and applied mathematics with foundational courses in the concentration area to provide a powerful basis for further study or careers in these fields. Classes are small, and extensive computer use provides students with hands-on experience.
More information can be found online at http://www.stetson.edu/other/academics/programs/mathematics.php.
Minor in Mathematics - 5 Units
|MATH 142Q||Calculus II with Analytic Geometry||1|
|MATH 211Q||Linear Algebra||1|
|MATH 221Q||Introduction to Logic and Proof||1|
|or MATH 243Q||Calculus III with Analytic Geometry|
|Two (2) MATH elective numbered 300 or higher||2|
Advising Course Plans
Branton, Michael G.
Professor of Mathematics and Computer Science, 1982
B.S., Florida Technological University
M.S., Ph.D., University of North Carolina at Chapel Hill
Associate Professor of Mathematics, 1990
B.S., Yale University
Ph.D., New York University
Associate Professor of Mathematics, 1992
B.S., Rose-Hulman Institute of Technology
M.S., Ph.D., Cornell University
Hirsch, Michael J.
Visiting Assistant Professor of Mathematics and Computer Science, 2014
B.A., West Chester University
M.S., University of Delaware
Ph.D., University of Florida
Miles, William W.
Associate Professor of Mathematics and Computer Science, 2003
B.S., Presbyterian College
M.S., Virginia Commonwealth University
Ph.D., Clemson University
Associate Professor of Mathematics, 2000
B.S., University of Bombay (Saint Xavier’s College)
M.S., George Mason University
Ph.D., University of Florida
Associate Professor of Mathematics and Chair, 2008
B.S., M.S., Ph.D., University of Central Florida
MATH 111Q. Finite Mathematics. 1 Unit.
A survey of some important areas of modern, applicable mathematics. Topics will include a selection from the following: matrices and linear systems, linear programming, probability, Markov Chains, financial mathematics, graph theory, voting systems and apportionment, and statistics.
MATH 112Q. Mathematical Game Theory. 1 Unit.
An introduction to the mathematics of competitive decision making, including games of strategy, games of chance, and classical zero-sum game theory. Topics include game trees, backward induction, base two arithmetic, Nim values of combinatorial games, probability, expected value, matrices, domination, and mixed and pure strategies, and graphical and oddment solutions to zero-sum games.
MATH 113Q. Chaos and Fractals in Nature. 1 Unit.
This course will investigate chaotic behavior in physical systems, and use mathematics to describe that behavior. Some of the first evidence of chaotic behavior in nature came from a study of a mathematical model of the earth's climate. Since then, it has been discovered that chaotic behavior occurs in many physical systems, including chemical and biological systems. Fractals have turned out to be a very valuable way to describe chaotic systems geometrically.
MATH 114Q. Elementary Graph Theory. 1 Unit.
A gentle introduction to graph theory and discrete math, with emphasis on understanding the major results, and using them to do applications from various fields. Topics include connectivity, planarity, adjacency matrices, Eulerian and Hamiltonian graphs, trees, isomorphism, duality, coloring problems, directed graphs, matching problems, and network flows.
MATH 115Q. Great Ideas in Mathematics. 1 Unit.
A survey of mathematics from the Ancient Greeks to the modern day through looking at its great ideas and theorems. Topics vary, but may include the Pythagorean Theorem and Euclidean geometry, number theory, Cardano's solution of the cubic, Newton's discovery of the calculus, mathematical modeling, abstraction and proof, and probability and statistics.
MATH 116Q. Introduction to Cryptology. 1 Unit.
This course gives a historical overview of Cryptology and the mathematics behind it. Cryptology is the science of making (and breaking) secret codes. From the oldest recorded codes (taken from hieroglyphic engravings) to the modern encryption schemes necessary to secure information in a global community, Cryptology has become an intrinsic part of our culture. This course will examine not only the mathematics behind Cryptology, but its cultural and historical impact. Topics will include: matrix methods for securing data, substitutional ciphers, transpositional codes, Vigenere ciphers, Data Encryption Standard (DES), and public key encryption. The mathematics encountered as a consequence of the Cryptology schemes studied will include matrix algebra, modular arithmetic, permutations, statistics, probability theory, and elementary number theory.
MATH 122Q. Calculus for Business Decisions. 1 Unit.
This course covers tools necessary to apply the science of decision-making in the business environment. Students working in teams give oral and written presentations on key projects taken from real world business problems. Quantitative reasoning topics include the following: Graphing Functions; Demand, Revenue, Cost and Profit; Trend Lines, Differentiation; Optimization; and Integration. Students integrate the use of technology with excel spreadsheets, power point presentations, and software packages. Prerequisites: ECON 103S or ECON 104S and either Information Technology Proficiency (BSAN 101 and passing BSAN Proficiency Exam) or BSAN 111; Math Placement Testing required for entry.
MATH 125Q. Introduction to Mathematical and Statistical Modeling. 1 Unit.
An introduction to some mathematical techniques used to explore, model and analyze phenomena in the sciences. Topics include probability, descriptive and inferential statistics, hypothesis testing, regression, and linear systems.
MATH 130. Calculus I with Review Part I. 1 Unit.
This course is designed for students who enter Stetson with insufficient pre-calculus background for the standard calculus sequence. The combination of MATH 130 and MATH 131Q covers the same calculus material as MATH 141Q (Calculus I), including limits, continuity, differentiation, and applications of derivatives, and includes a review of pre-calculus material including trigonometry, with an emphasis on applications in the sciences. Math Placement Testing required for entry.
MATH 131Q. Calculus I with Review Part 2. 1 Unit.
Designed for students who enter Stetson with insufficient pre-calculus background for the standard calculus sequence. The combination of MATH 130 and MATH 131Q covers the same calculus material as MATH 141Q, including limits, continuity, differentiation, and applications of derivatives, antidifferentiation, the definite integral and the Fundamental Theorem of Calculus, and includes a review of pre-calculus material including trigonometry, with an emphasis on applications in the sciences. Prerequisite: MATH 130.
MATH 141Q. Calculus I with Analytic Geometry. 1 Unit.
A first calculus course designed for majors in mathematics and the sciences. Topics include limits, continuity, differentiation, applications of derivatives, the definite integral, and the Fundamental Theorem of Calculus. Math Placement Testing required for entry.
MATH 142Q. Calculus II with Analytic Geometry. 1 Unit.
A continuation of MATH 141Q. Topics include techniques of integration, applications of integration, differential equations, sequences and series, power series, and Taylor’s Theorem. Prerequisite: MATH 141Q or MATH 131Q.
MATH 190. Special Topics in Mathematics. 1 Unit.
MATH 211Q. Linear Algebra. 1 Unit.
An introduction to the theory and applications of linear systems and vector spaces. Topics include matrix operations, solving linear systems by elimination, basis and dimension, linear transformations, eigenvalues and eigenvectors, and general vector spaces. Applications from various fields are introduced. Prerequisite: MATH 141Q.
MATH 221Q. Introduction to Logic and Proof. 1 Unit.
This course prepares students to confront the elements of advanced theoretical mathematics: to understand mathematical statements, to read and write proofs, and to appreciate the processes of mathematical creation. Topics include elementary logic, set theory, functions, relations, and induction. Prerequisite: MATH 142Q.
MATH 243Q. Calculus III with Analytic Geometry. 1 Unit.
An introduction to calculus of more than one variable. Topics include vectors, parametric equations, polar coordinates, partial differentiation, multiple integration, and vector fields. Prerequisite: MATH 142Q.
MATH 285. Independent Study. 0.5 or 1 Units.
MATH 290. Special Topics in Mathematics. 1 Unit.
MATH 301. Number Theory. 1 Unit.
This course studies elementary properties of integers, including divisibility, factorization, and primality. Topics include congruencies, the Chinese Remainder Theorem, Diophantine equations, divisibility tests, theorems of Fermat, Wilson, and Euler, residue classes, quadratic reciprocity, multiplicative functions, and applications to cryptography. Prerequisite: MATH 221Q.
MATH 312. Advanced Linear Algebra. 1 Unit.
A continuation of MATH 211Q, this course is an axiomatic theory of vector spaces. Topics include general vector spaces, inner product spaces, linear mappings, the Rank-Nullity Theorem, representations of mappings, dual spaces, and diagonalization. Prerequisites: MATH 211Q and MATH 221Q.
MATH 321. Ordinary Differential Equations. 1 Unit.
An introduction to the study of equations involving derivatives. Topics include first and second order differential equations, existence and uniqueness of solutions, separation of variables, variation of parameters, linear and non-linear systems, solution by generalized eigenvectors, phase portraits, linearization, numerical methods, potential functions, gradient systems, limit cycles and chaotic systems, and mathematical modeling with differential equations. Prerequisites: MATH 211Q and MATH 243Q.
MATH 331. Combinatorics and Graph Theory. 1 Unit.
This course studies techniques of enumeration and graph theory. Topics include binomial coefficients, recursion, generating functions, Burnside's Lemma, Eulerian and Hamiltonian graphs, trees, planarity, duality, graph coloring, graph algorithms, and various practical applications. Cross-listed with CSCI 331. Prerequisite: CSCI 211 or MATH 221Q.
MATH 341. Mathematical Modeling and Computer Simulation. 1 Unit.
An introduction to the development of mathematical models, and the use of computers towards that goal. Topics include model construction, regression, empirical modeling, difference equations and dynamical systems, probabilistic modeling, and Monte Carlo simulation. Cross-listed as CSCI 341. Prerequisites: MATH 142Q, MATH 211Q, and either CSCI 141 or CSCI 261.
MATH 351. Operations Research. 1 Unit.
An introduction to deterministic optimization. Topics may include linear programming and the simplex method, integer programming, goal programming, dynamic programming, duality, the transportation problem, network analysis, and game theory. Prerequisites: MATH 142Q, MATH 211Q, and either CSCI 141 or CSCI 261.
MATH 361. Numerical Analysis. 1 Unit.
A study and analysis of common numerical methods used in applied mathematics. Topics include solutions of non-linear equations, the solutions of systems of linear equations, interpolation, numerical integration, and the numerical solution of differential equations. Prerequisites: MATH 142Q, MATH 211Q, and either CSCI 141 or CSCI 261. Cross-listed as CSCI 361.
MATH 371. Probability: An Introduction to the Study of Randomness. 1 Unit.
Topics include discrete and continuous probability distributions, conditional probability, independence, combinatorial probability, expected value and variance, and laws of large numbers. Prerequisite: MATH 243Q.
MATH 372. Mathematical Statistics. 1 Unit.
A theoretical introduction to statistics, including point estimation, confidence intervals, and hypothesis tests. Topics include goodness of fit tests, contingency tables, regression, correlation, analysis of variance, non-parametric tests, and the use of the t, F, Z, and chi-squared distributions to draw inferences about means and variances of one or two populations. Emphasis is on deriving the statistical tests, as well as using them to draw conclusions. Prerequisite: MATH 371.
MATH 385. Independent Study. 0.5 or 1 Units.
MATH 390. Special Topics in Mathematics. 1 Unit.
May be repeated for credit.
MATH 395. Teaching Apprenticeship. 0.5 Units.
MATH 397. Internship in Mathematics. 0.5 or 1 Units.
Students are expected to complete an internship of varying time length with an outside company or organization. Emphasis is on a relevant learning environment and acquisition of appropriate career skills at a suitable level of authority and responsibility. Prerequisites: Approval of chair and Mathematics faculty supervisor.Enrollment in an internship course requires students to attend an orientation prior to beginning work at their internship site. For more information regarding internship orientations, please contact Career & Professional Development at email@example.com or 386-822-7315.
MATH 401. Real Analysis I. 1 Unit.
MATH 402. Real Analysis II. 1 Unit.
Topics include integration, infinite series, sequences and series of functions, others at the discretion of the professor. Prerequisite: MATH 401.
MATH 411. Complex Analysis. 1 Unit.
A detailed study of the complex number system and complex functions. Topics include harmonic functions, complex differentiation and integration, the Cauchy Integral Formula, Taylor and Laurent series, residues and poles, and conformal mappings. Prerequisite: MATH 243Q or MATH 221Q.
MATH 422. Partial Differential Equations. 1 Unit.
A study of partial differential equations, their solutions, and applications. Topics include Fourier series, separation of variables, boundary value problems, existence and uniqueness of solutions, method of characteristics, numerical solutions, and applications including the heat equation, wave equation, and Laplace's equation. Prerequisite: MATH 321.
MATH 431. Topology. 1 Unit.
A rigorous study of point-set topology, including topics such as open and closed sets, subspaces, continuity and convergence, separation axioms, connectedness, compactness, and product spaces. Prerequisite: MATH 221Q.
MATH 441. Abstract Algebra I. 1 Unit.
A study of group theory, examples, and applications. Topics include subgroups, homomorphism, direct products, factor groups, Sylow Theorems, Free Groups, select applications. Prerequisites: MATH 211Q and MATH 221Q.
MATH 442. Abstract Algebra II. 1 Unit.
MATH 485. Independent Study. 0.5 or 1 Units.
MATH 490. Special Topics in Mathematics. 1 Unit.
MATH 498. Senior Project I. 1 Unit.
Students will select a mathematical topic, and work on it in collaboration with a faculty member. Students may have to do a literature search, learn computer software, or do independent reading on their topic to facilitate the research process. The student will write a project proposal including any preliminary results, and present the problem and results to the department. Prerequisites: Three 300 or 400 level courses in MATH.