55 courses with the subject MATH, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MATH 096Bridge Course for Business0
A preparatory course for incoming business students with marginally non-qualifying scores on the Mathematics Placement Assessment. Topics include algebra fundamentals, functions and their graphs, exponential and logarithmic functions, and Excel spreadsheets. Students must earn a passing grade to qualify for enrollment in MATH 153. By invitation.
Designed for incoming science and engineering students with marginally non-qualifying scores on the Mathematics Placement Assessment. Topics include algebra basics, functions and their graphs, expoential and logarithmic functions, trigonometry, and geometric foundations such as lines and distance. A passing grade is required for placement into MATH 185 (Calculus I). By invitation.
Preparation for calculus and further study in STEM disciplines. Topics include algebraic and transcendental functions, trigonometry, analytic geometry, and foundational concepts such as set theory equations. Emphasis is placed on understanding function behavior and graphical representations. Meets hours per week.
Preparation for business calculus through a focused review of algebra, functions, and analytic geometry. Topics include exponential, logarithmic, and polynomial functions, with applications relevant to business contexts. Meets four hours per week. Fall.
An introduction to practical mathematical topics of particular interest to students in the humanities or social sciences. Possibilities include but are not limited to the mathematics of social choice, consumer mathematics, mathematical modeling and statistics. Additional topics may be introduced as time permits.
MATH 153Finite Mathematics for Business Decisions3
Survey of business applications. Topics include financial mathematics: simple and compound interest, annuities and amortization of loans; linear optimization: solving systems of linear equations and matrix algebra; probability: elementary counting techniques, odds, and expected value. Prerequisite: A satisfactory score on the mathematics placement exam or a grade of C or better in MATH 111.
An introduction to differential and integral calculus with applications in business and economics. Topics include limits, derivatives of polynomial, rational, exponential,and logarithmic functions, optimization, and basic integration. Emphasis is placed on modeling and decision-making contexts. Prerequisite: MATH 153.
Limits, continuity, exponential/logarithmic functions differentiation/antidifferentiation. An introduction to the definite integral. Meets four hours per week. Prerequisite: A satisfactory score on the mathematics placement exam or a grade of C or better in MATH 100.
Applications chosen from the life sciences, including population, decay, growth models, stability, and matrix methods. Volumes of solids, integration techniques, difference/differential equations. Meets four hours per week. Prerequisite: A grade of C or better in MATH 155.
Foundations of data science based on computation, statistical inference, and interpretation for real-world problems. This course introduces students to techniques in data science with real data. Starting from the basics of programming for data applications, followed by statistical inference and concluding with interpretation of the insights, communication, and limitations of the results, this course provides a hands-on introduction to the foundations of data science using real-world economic, medical, geographical, and social network data.
Introduction to mathematical problem-solving employing modern software used for mathematical modeling in industry and research. Numerical and symbolic computation including problems from calculus. A variety of problems arising in mathematics, science, and engineering. Spring. Prerequisite: A grade of C or better in CMPT 101 and Calculus I (MATH 155 or MATH 185 or MATH 187).
This Calculus I corequisite course offers just-in-time instruction and practice on algebra and trigonometry topics to support students taking Calculus I, the first course in the calculus sequence for STEM majors. Calculus topics include limits, continuity, derivatives, applications of differentiation, transcendental functions, and an introduction to definite integrals and the Fundamental Theorem of Calculus. Meets 6 hours per week. By invitation only.
The first course in the calculus sequence for STEM majors. Topics include limits, continuity, derivatives, applications of differentiation, transcendental functions, and an introduction to definite integrals and the Fundamental Theorem of Calculus. Meets four hours per week. Prerequisite: A satisfactory score on the Mathematics Placement Assessment or a grade of C or better in MATH 100.
A continuation of Calculus I. Topics include applications of the definite integral, advanced techniques of integration, improper integrals, infinite sequences, and series. Meets four hours per week. Prerequisite: A grade of C or better in Calculus I ( MATH 155, MATH 185, or MATH 187).
The course in an enriched, fast-paced calculus sequence for highly motivated STEM students. Covers the material of Calculus I with greater theoretical depth and more advanced applications. Topics include limits, continuity, derivatives, transcendental functions, and the Fundamental Theorem of Calculus. Meets four hours per week. Fall. Prerequisite: Students selected by the instructor.
Honors equivalent to Calculus II. Rigorous development of applications of the definite integral, integration techniques, improper integrals, and infinite sequences and series. Meets four hours per week. Spring. Prerequisite: A grade of C or better in MATH 187 or permission of the instructor.
MATH 221Mathematics for the Elementary School Teachers I3
This is a course for prospective teachers in elementary school. The content and method will follow the current standards of the National Council of Teachers of Mathematics for the elementary level. Topics include tools for problem solving, numeration systems, number theory, and algebra. Fall.
MATH 222Mathematics for the Elementary School Teachers II3
A continuation of MATH 221 for prospective elementary school teachers. The course emphasizes conceptual understanding and reasoning in geometry, measurement, and data. Topics include two- and three-dimensional shapes, spatial reasoning, units and measurement, and an introduction to statistics and data representation. Aligned with NCTM standards. Spring. Prerequisite: A grade of C or better in MATH 221.
An introduction to statistical methods and reasoning, with an emphasis on data analysis, interpretation, and critical thinking. Topics include descriptive statistics, relationships between variables, basic probability, binomial and normal distributions, sampling distributions, confidence intervals, and hypothesis testing. Students also gain experience using statistical software and evaluating statistical claims in real-world contexts.
A transition course that prepares students for advanced mathematics by building skill and confidence in reading, writing, and constructing mathematical proofs. Topics include logic, set theory, functions, relations, modular arithmetic, and mathematical induction. Designed to strengthen abstract reasoning and provide a strong foundation for upper-level coursework. Fall. Prerequisites: A grade of C or better in Calculus II (MATH 156 or MATH 186 or MATH 188) or current enrollment in Calculus II (MATH 156 or MATH 186 or MATH 188).
Multivariable calculus for STEM majors. Topics include vectors and geometry in space, functions of several variables, partial derivatives, multiple integrals, line integrals, and vector calculus including Green’s Theorem. Prerequisite: A grade of C or better in Calculus II (MATH 156, MATH 186, or MATH 188).
An introduction to ordinary differential equations with a focus on analytical techniques, qualitative behavior, and applications in science and engineering. Topics include first and second-order equations, systems of linear ODEs, direction fields, phase plane analysis, separation of variables, variation of parameters, and Laplace transforms. Prerequisite: A grade of C or better in Calculus III (MATH 285 or MATH 287).
The final course in the honors calculus sequence, designed for exceptional STEM students. Covers the content of multivariable calculus with added emphasis on mathematical richness, theoretical depth, and challenging applications. Topics include vectors, partial derivatives, multiple integrals, vector calculus, and Green’s Theorem. Meets four hours per week. Fall. Prerequisite: A grade of C or better in MATH 188 or permission of instructor.
MATH 320Fundamental Concepts: Probability & Data Analysis3
A course for prospective teachers of K-8 mathematics. The course will explore data analysis as a four-step investigative process involving question development, data production, data analysis and contextual conclusions. Topics may include describing and comparing data distributions for both categorical and numerical data, exploring bivariate relationships, exploring elementary probability, and using random sampling as a basis for informal inference. Course includes use of appropriate software. Prerequisite: A grade of C or better in MATH 222. Offered irregularly.
MATH 321Fundamental Concepts: Algebra & Number Theory3
A course for prospective teachers of K-8 mathematics. Topics chosen from expressions and equations, ratio, proportional relationships and inversely proportional relationships, arithmetic and geometric sequences, factors and multiples (including greatest common factor and least common multiple), prime numbers and the Fundamental Theorem of Arithmetic, divisibility tests, rational versus irrational numbers, the division algorithm, modular arithmetic, functions (linear, quadratic, and exponential). Prerequisite: A grade of C or better in MATH 222. Offered every third semester. See department for rotation schedule.
MATH 322Fundamental Concepts: Geometry & Measurement3
A course for prospective teachers of K-8 mathematics. Perimeter, area, surface area, volume, and angle; geometric shapes, geometric solids, transformations, dilations, symmetry, congruence, similarity; modeling with similar triangles, and the Pythagorean Theorem and its converse. The use of appropriate software is an important component of the course. Prerequisite: A grade of C or better in MATH 222. Offered every third semester. See department for rotation schedule.
A course for prospective teachers of K-8 mathematics. Topics chosen from logic, Boolean algebra, introductory graph theory, counting techniques and mathematical induction. Coding will be introduced as a way of including technology as well as algorithmic, iterative and recursive thinking into the course. Prerequisite: A grade of C or better in MATH 222. Offered every third semester. See department for rotation schedule.
MATH 327Fundamental Concepts of Childhood Mathematics3
A course for prospective teachers of K-8 mathematics. Topics are chosen from: prime numbers and the Fundamental Theorem of Arithmetic, divisibility tests, rational versus irrational numbers, the division algorithm, modular arithmetic, geometric transformations, symmetry, congruence, similarity, the Pythagorean Theorem, logic, and boolean algebra. Coding will be introduced as a way of including algorithmic, iterative, and recursive thinking into the course. Appropriate educational technology (e.g. GeoGebra) will be utilized. Restricted to students in Education majors.
MATH 328Fundamental Concepts of Secondary Mathematics3
A course for prospective teachers of secondary school mathematics. There will be a strong emphasis on the high school New York State Next Generation Mathematics Leaming Standards and Standards for Mathematical Practice. Central ideas from the following topics will be explored and connected from both intuitive and rigorous points of view. Topics include the real and complex numbers, transcendental functions, exponentiation, hyperbolas, ellipses, logarithmic functions, polynomials, statistics, probability, and trigonometry. Appropriate technological tools will be used. Prerequisites: A grade of C or better in MATH 243 Spring of even years.
A calculus-based introduction to probability theory. Topics include sample spaces, events, random variables, probability distributions, expectation, and important models such as the binomial, Poisson, exponential, and normal distributions. Emphasis is placed on both theory and applications. Fall. Prerequisite: A grade of C or better in Calculus II (MATH 156 or MATH 186 or MATH 188).
A calculus-based introduction to probability and statistical methods with applications in science, engineering, and the social sciences. Topics include random variables, sampling distributions, estimation, hypothesis testing, and linear models such as regression and ANOVA. Not open to students with credit for MATH 351. Spring. Prerequisite: A grade of C or better in Calculus II (MATH 156 or MATH 186 or MATH 188).
MATH 351Computational Linear Algebra & Statistics for Computer Science3
This course consists of three components: linear algebra including linear equations and matrices, vector spaces, subspaces, linear independence, bases, dimension, linear transformations, eigenvalues/eigenvectors, and diagonalization; Operations research including linear programming and the simplex method; Statistical inference including point and interval estimation, bias, hypothesis testing, linear models (encompassing regression and ANOVA). Enrollment restricted to Computer Science students or by approval of Department Chair. Not open to students with credit in (MATH 272 or MATH 372 or MATH 336).A grade of C or better in Calculus II (MATH 156 or MATH 186 or MATH 188). Fall.
An exploration of modern geometry through an axiomatic lens, designed with future middle and high school teachers in mind. Topics include triangle and circle theorems, congruence, similarity, parallelism, transformational geometry, and an introduction to spherical and hyperbolic geometry. Includes the use of dynamic geometry software for investigating conjectures. Spring of odd years. Prerequisite: A grade of C or better in MATH 243 and Co-requisite: MATH 372.
An introduction to linear algebra and its applications. Topics include systems of linear equations, matrices, vector spaces, linear transformations, eigenvalues and eigenvectors, and orthogonality. Emphasis is placed on both theoretical foundations and computational techniques. Not open to students with credit for MATH 351. Prerequisite: A grade of C or better in MATH 243 or MATH 285 or MATH 287.
Students participate in an off-campus training experience closely related to their area of mathematics. Frequent meetings with the advisor plus a paper are required. Prerequisites: Junior status, 3.0 GPA and permission of the student's advisor or Department chair.
An introduction to abstract algebra with a focus on the structure and properties of groups. Topics include subgroups, cosets, Lagrange’s Theorem, and homomorphisms. The course deepens conceptual understanding of algebra and its logical foundations - essential preparation for advanced mathematical study and for future teachers aiming to bring depth and coherence to high school algebra instruction. Fall. Prerequisites: A grade of C or better in MATH 243 and MATH 372.
An introduction to the theory and solution techniques for partial differential equations (PDEs), with applications in mathematics, physics, and engineering. Students explore the heat, wave, Laplace equations, and more. Topics include Fourier series, boundary value problems, separation of variables, eigenfunction expansion, numerical methods for approximation, the Fourier transform, and the method of characteristics. Second order equations are classified. Prerequisite: A grade of C or better in MATH 286.
A rigorous introduction to real analysis. Topics include sequences, limits, continuity, differentiation, and the Riemann integral. Emphasis is placed on precise definitions, theorem proving, and deep understanding of the foundations of calculus. Spring. Prerequisites: A grade of C or better in MATH 243 and Calculus III (MATH 285 or Math 287).
Sampling distributions, point estimation, interval estimation, testing statistical hypotheses, regression and correlation. Offered irregularly. Prerequisite: A grade of C or better in MATH 331.
Analysis of variance, regression analysis, non-parametric and sequential tests of hypotheses. Offered irregularly. Prerequisite: A grade of C or better in MATH 432.
Fundamental concepts in combinatorics including binomial coefficients, inclusion-exclusion, and generating functions. Topics in graph theory include connectivity, planarity, colorings and chromatic polynomials, and max-flow-min-cut in networks, and other applications. Not open to students with credit for CMPT 335. Prerequisite: A grade of C or better in MATH 243.
An introduction to optimization and decision-making models with practical applications. Topics include linear programming, the simplex method, duality theory, transportation and scheduling problems, and queuing theory. Focuses on both problem solving and the underlying mathematical theory. Prerequisite: A grade of C or better in MATH 186.
Students work with real-world clients to develop mathematical models that answer practical questions about their operations. Emphasis is placed on translating real-world problems into mathematical frameworks, analyzing them with industry-standard tools (such as R, Excel, MATLAB, or SPSS), and communicating results effectively. The course blends applied mathematics, client interaction, and professional skill-building.
An introduction to the theory and practice of machine learning, with a focus on mathematical foundations and real-world applications. Topics include supervised and unsupervised learning, Bayesian decision theory, nonparametric methods, neural networks, and clustering. Students gain hands-on experience with data-driven algorithms used across industry and research. Prerequisite: A grade of C or better in MATH 285 or MATH 351 or permission of instructor.
Beginning with a review of set theory and basic topological definitions, topological spaces are studied with metric spaces considered as examples. Compactness, connectedness, metrization theorems. An introduction to homotopy theory. Prerequisite: A grade of C or better in MATH 243 or permission of instructor.
A continuation of the topics introduced in MATH 372 with emphasis on orthogonality, inner product spaces, eigenvalues and eigenvectors, diagonalization, quadratic forms and numerical linear algebra. Fall. Prerequisite: A grade of C or better in MATH 372. Fall of even years.
Students participate in an off-campus training experience closely related to their area of mathematics. Frequent meetings with the advisor plus a paper are required. Prerequisites: Senior status, 3.0 GPA, and permission of the student's advisor or the Department Chair.
A continuation of MATH 377. Further study of algebraic structures, such as rings, fields and integral domains. The homomorphism theorems and applications. Spring. Prerequisite: A grade of C or better in MATH 377.
A continuation of MATH 387. Topology of the real numbers, uniform convergence, Riemann integral, infinite series, Taylor and Fourier series, metric spaces. Prerequisite: A grade of C or better in MATH 387.
A capstone course in mathematical problem solving, where students grapple with challenging and often surprising problems that draw from across the major. Through collaborative exploration, formal proof, and mathematical writing, they refine their ability to think critically, argue rigorously, and communicate with clarity. It celebrates the creativity, persistence, and precision at the heart of the discipline. Spring. Prerequisites: A grade of C or better in MATH 377 and MATH 387 or permission of instructor.
An introduction to the beautiful and powerful world of functions of a complex variable. Topics include the complex plane, limits, continuity, analytic functions, the Cauchy-Riemann equations, and the Cauchy integral theorem with its consequences. Additional topics may include power series, Taylor and Laurent series, classification of singularities, the Residue Theorem and its applications, and conformal mapping. Applications to mathematics, physics, and engineering are explored throughout. Fall of odd years. Prerequisite: A grade of C or better in (MATH 243 and MATH 285) or MATH 286 or permission of instructor.
Admission only by permission of the Chair of the Department. This course is offered when demand warrants. Prerequisite: Permission of the Department Chair.
Admission only by permission of the Chair of the Department. This course is offered when demand warrants. Prerequisite: Permission of the Department Chair.
A course limited to students of superior ability who wish to study some advanced topic mutually agreed upon by them, the instructor and the Department Chair. Prerequisite: Permission of the instructor and the Department Chair.
