47 courses with the subject MTH, 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.
MTH 015Elements of Algebra4
This course fulfills the elementary algebra requirement for entrance into many programs at the College. Topics include numeric and algebraic operations, solutions of linear equations and inequalities, graphs and equations of lines, systems of linear equations, polynomial operations, factoring, and solution of quadratic equations. The minimum passing grade is C-. Grade will not be computed into GPA. This course is not applicable toward a degree. Course Offered: Fall, Spring, Summer Credits: (4,0)
An introduction to Discrete Mathematical Models that utilize topics including Matrix Algebra, Linear Programming, the Simplex Method, the Method of Least Squares, Markov Chains, Game Theory and Exponential Growth. Models include the Leontief Input-Output Model, 2027 College Catalog • Page 253
This course uses set theory to develop the basic concepts of finite probability. The student is introduced to the tree and to the counting methods of devising sample spaces. The probability of mutually exclusive events, dependent and independent events are treated. Some applications to probability distributions of discrete variables are included. Finally, the basic topics in symbolic logic are covered. Prerequisite(s): MP2 or MTH 015 Course Offered: Fall, Spring Credits: (3,0)
Basic concepts of probability and statistical inference. Included are the binominal, normal, and chi-square distributions. Practical applications are examined. Computer assignments using Minitab form an integral part of the course. Prerequisite(s): MP2 or MTH 015 Course Offered: Fall, Winter, Spring, Summer Credits: (3,0)
Basic concepts of probability and statistical inference. Included are the binominal, normal, and chi-square distributions. Practical applications are examined. Computer assignments using Minitab form an integral part of the course. Prerequisite(s): MP2 or MTH 015 Credits: Credits:3 (3,0,1)
This course is designed to provide students with a firm foundation in symbolic manipulation and algebraic reasoning. Both manipulative skills and conceptual understanding of algebraic principles are stressed. Topics include equivalent expressions and equations, linear functions, properties of exponents and logarithms, quadratic equations, power functions, exponential functions. Upon completion of this course students will be prepared for precalculus as well as for quantitative courses in the natural and social sciences. Note: Students cannot earn credit for MTH 116 if MTH 116R was taken. Prerequisite(s): MP2 or MTH 015 Course Offered: Fall, Winter, Spring, Summer Credits: (4,0)
This is a Precalculus course with applications from various disciplines including technology, science, and business. This course uses linear, power, polynomial, exponential, logarithmic, and trigonometric functions to model real world problems. The important characteristics and properties of these functions are investigated. The emphasis is on applications and problem solving. Note: Students completing this course may not receive credit for MTH 129. Prerequisite(s): MP3 or MTH 116 Course Offered: Fall, Spring Page 254 • Course Index • 2026-2 Credits: (4,0)
In this course, the topics introduced in College Algebra course will be extended. The course will provide a comprehensive study of functions, which are the basis of calculus and other higher-level mathematics courses. The students will study the properties, graphs, and some applications of polynomial, rational, inverse, exponential, logarithmic, and trigonometric functions. Note: Students completing this course may not receive credit for MTH 117. Prerequisite(s): MP3 or MTH 116 Course Offered: Fall, Spring, Summer Credits: (4,0)
This is a calculus course for those not majoring in Mathematics. Topics include the derivative, differentiation of algebraic, trigonometric, exponential and logarithmic functions, applications of the derivative and the definite integral. Applications are taken from technology, science, and business. Problem solving is stressed. A graphing calculator is required. Note: Students completing this course will not receive credit for MTH 150. This course may be non-transferable to science programs, such as Engineering Science or Computer Science, at other institutions. Prerequisite(s): MP4 or MTH 117 or 129 Course Offered: Fall, Spring, Summer Credits: (4,0)
This is the first course of the calculus sequence. Topics include limits, continuity, differentiation of functions of one variable, anti-differentiation, introduction to Riemann sums and integration, the fundamental theorem of calculus, and applications of differentiation and integration. Note: Students completing this course may not receive credit for MTH 130. Prerequisite(s): MP4 or MTH 117 or 129 Course Offered: Fall, Spring, Summer Credits: (4,0)
A continuation of Calculus I (MTH 150). Topics include, integration of the transcendental functions, various techniques of integration with applications, improper integrals, sequences and series, power series, and Taylor series. Prerequisite(s): MTH 130 or MTH 150 Course Offered: Fall, Spring, Summer Credits: (4,0)
A continuation of Calculus I with Applications. Topics include techniques of integration, applications of the definite integral, multivariable calculus, and an introduction to Differential Equations. Applications are taken from technology, science and business. Problem solving is emphasized. A graphing calculator is required. Prerequisite(s): MTH 130 or MTH 150 Course Offered: Fall, Spring, Summer Credits: (3,0)
A study of the basic properties of vectors and vector spaces; linear transformations and matrices; matrix representations of transformations; eigenvalues and eigenvectors of linear transformations; similarity of matrices, selected applications. Prerequisite(s): MTH 130 or MTH 150 Course Offered: Fall, Spring, Summer Credits: (3,0)
This is a course designed to introduce the basic concepts of financial mathematics including cashflows, the time value of money, compounding, and present and future value calculations for loans, annuities, and bonds. The course presents the basic no-arbitrage principal to derive forward interest rates and stock prices as well as the prices of futures contracts. Students will be introduced to options, their characteristics, and put- call parity and will analyze the valuation of calls and puts, and general contingent claims, in the framework of the classical one-period binomial model. Prerequisite(s): MTH 130 or MTH 150 Course Offered: Fall Credits: (3,0)
An introductory to graph theory and combinatorial analysis. The emphasis is on problem solving and applications with some attention 027 College Catalog
This is an introductory course in ordinary Differential Equations designed to develop an understanding of the qualitative behavior of solutions and its relation to the process being modeled. Use of appropriate computer packages forms an integral part of the course. Topics include: first order differential equations and systems, linear systems, applications including electrical circuits and vibrations, introduction to Laplace Transform. Prerequisite(s): MTH 151 or MTH 236 Course Offered: Spring Credits: (4,0)
MTH 315WHistory of Mathematics (Writing Intensive)3
An investigation of the development of mathematics from ancient times to the present. Students will study topics which may include ancient mathematics (in particular, the Pythagorean Theorem and quadratic equations), Greek mathematics (Aristotle, Euclid, Archimedes, Apollonius, Ptolemy and Diophantus), medieval mathematics (China, India, Islam, Europe, America, and Africa), early modern mathematics (logarithms, analytic geometry, probability and the beginning of calculus), and modern mathematics (analysis, probability, number theory, abstract algebra linear algebra, non- Euclidean geometries, set theory, and topology). Each topic will be examined in the context of and why it was further developed. A vital component of the course will be a study of the mathematicians who provided us with these tools which are an integral part of mathematical applications in today's world. This is a writing-intensive course. Note: Offered at the discretion of the Applied Mathematics Department Prerequisite(s): EGL 101 with a grade of C or higher and MTH 151 Credits: (3,0)
An axiomatic view of Euclidean and non-Euclidian geometry. The standard models of the various geometries will be constructed. Careful emphasis on proof construction and understanding. Applications of Euclidean and Hyperbolic geometries will be given. Prerequisite(s): MTH 151 or MTH 236 Credits: (3,0) Course Index • 20
MTH 325Mathematical Modeling in the Biological Sciences4
The course will focus on mathematical models in biology, including topics such as the growth of populations, the interactions between different populations, the spread of epidemics, the Hardy-Weinberg law in genetics and drug levels in the bloodstream. The emphasis will be on determining the mathematical component of a phenomenon, creating an appropriate mathematical model, using the model to answer questions about the situation, and interpreting the effectiveness of the model. Technology will be used as an exploratory tool. Prerequisite(s): One semester of biology and MTH 151 or MTH 236 Credits: (4,0)
This course will investigate various mathematical models in the applied sciences taken from real life phenomena. Basic notions of abstraction and how to work on real problems at different levels will be introduced in the course. The Models are explored using analytical, computational and graphical tools as appropriate. Models cover but are not limited to examples from Finance, Economics, Ecology, the Environment, Engineering, Biology and Behavioral Sciences. Prerequisite(s): MTH 151 or MTH 236 Course Offered: Spring Credits: (3,0)
Essential structures of modern algebra: sets, relations, groups, homomorphisms, and rings will be studied with a view toward their applicability. Applications may include error correcting codes, computational complexity, and counting problems. Prerequisite(s): MTH 245 and MTH 290 Credits: (3,0)
This course introduces the basic concepts and some fundamental results of Point Set Topology. Some of the topics covered are: Open sets and the notion of continuity on various fundamental spaces (the real line, Euclidean spaces, metric spaces, and general topological spaces); connectedness, compactness, countability, and separation; the Tychonoff theorem. Prerequisite(s): MTH 252 and MTH 290 Credits: (3,0)
This course provides a calculus-based introduction to probability theory and its applications. Topics include: probability spaces, conditional probability and independence, discrete and continuous random variables, mathematical expectations, moment generating functions, bivariate distributions, and central limit theorem. Note: Students who take MTH 341 may not receive credit for MTH 360. Prerequisite(s): MTH 151 Credits: (3,0)
This course is an introduction to statistical inference. The overall objective of the course is the development of basic theory and methods for statistical inference. Topics include parameter estimation, interval estimation, hypothesis testing, regression analysis, and experimental design. Prerequisite(s): MTH 341 Credits: (3,0)
Students will be introduced to the foundations of real analysis through a rigorous development of the real number system. This will be followed by a study of limits, continuity, and differentiability of real functions. The Riemann integral and the Fundamental Theorem of Calculus will be developed rigorously. Sequences and series of real functions will also be discussed. Prerequisite(s): MTH 252 and MTH 290 Course Offered: Spring Credits: (4,0)
This course will concentrate on the algebraic and analytic properties of complex numbers and functions of a single complex variables. The concepts of limits, continuity and differentiability will be extended to the complex domain. Line integrals and Cauchy's Integral Theorem will be presented. The expansion of analytic functions in Taylor and Laurent series will be derived and residue theory will be introduced. Prerequisite(s): MTH 252 and MTH 290 Credits: (3,0)
This is an integrated math-physics course with applications to topics in physics and the engineering technologies. It is meant to be interdisciplinary in nature and directed toward students in the Bachelor of Technology and Applied Mathematics programs. Topics to be covered include: Vector Algebra, Vector Calculus, Scalar and Vector Field Theory, Fourier Series, Fourier Integral, Fourier Transforms and Laplace Transforms. The focus will be on application and integration of mathematics methods to physics and engineering technologies. Note: Students completing this course may not receive credit for PHY 356. Prerequisite(s): MTH 236 or MTH 252 and PHY 136 or PHY 144 Credits: (3,0)
In this course, we study applications of probability distributions and statistical inference. Topics are chosen from statistical parameters, continuous and discrete random variables, probability and sampling distributions, confidence intervals, hypothesis testing, regression analysis, and analysis of variance. Prerequisite(s): MTH 130 or MTH 150 Course Offered: Fall, Spring Credits: Credits:3 (3,0)
The course begins with a detailed development of vector algebra in two- and three- dimensions. Also covered will be differentiation and integration of scalar and vector valued functions of vectors. Vector fields will be discussed with particular attention to line and surface integrals. Important vector theorems such as Green's, Stokes' and the divergence theorem and their important applications will be presented. A discussion of the Fourier series and the Fourier integral will complete the course. Prerequisite(s): MTH 245 and MTH 252 Credits: (3,0)
This is an introductory elective course for Applied Mathematics students. Topics include solutions of nonlinear equations, interpolation and approximation of functions, numerical differentiation and integration, iterative techniques in Linear Algebra and others. Solutions of problems using computer will be an integral part of this course. Prerequisite(s): MTH 245 or permission from the department Course Offered: Fall Credits: Credits:3 (3,0)
This course will provide an overview of the practical and theoretical foundations of experimental design as applied in real-life situations. Topics discussed include ANOVA, randomized block design, Latin square design, factorial and fractional factorial designs, and response surface methods. Prerequisite(s): MTH 110 or BUS 240 or MTH 360 or permission from the department Course Offered: Spring Credits: (3,0) Page 256 • Course Index • 2026-2
This course is an introduction to partial differential equations. Topics include introduction to heat, wave, and Laplace equations, Fourier series, numerical methods, applications. Use of an appropriate computer packages is an integral part of the course. Prerequisite(s): MTH 253 Credits: (3,0)
This course is intended to focus on understanding, formulating and solving deterministic models in operations research. Maximum and Minimum Linear Programming problems will be studied graphically and theoretically. The Simplex Method, Sensitivity Analysis and Duality will be covered and an in-depth analysis of the reasoning on which these topics are based will be given. Instruction in computer software techniques will be presented to solve Linear Programming problems, using the simplex method and sensitivity analysis. Transportation Problems, Integer Programming, or Markov Chains will be covered. In order to enhance quantitative reasoning, the course emphasizes the formulation of mathematical models commonly used by operation research analysts, as well as the theoretical and computer software solutions to these models. Prerequisite(s): MTH 130 or MTH 150 Course Offered: Fall, Spring, Summer Credits: (3,0)
This course provides an introduction to statistical learning techniques designed for the analysis of high-dimensional data. Topics covered include techniques for exploring and visualizing data, general linear models and generalized linear models, classification, model assessment, decision trees, and principal components analysis. Prerequisite(s): MTH 360 or permission from the department Course Offered: Fall Credits: (3,0)
This course is a continuation of MTH245. Topics include further study of eigenvalues and eigenvectors; inner product spaces, orthogonality, least squares problems, symmetric matrices, diagonalization, quadratic forms and the singular value decomposition. Applications to Markov chains, constrained optimization, differential equations, statistics, and image processing, among others, will be shown. Prerequisite(s): MTH 245 Credits: (3,0)
This course will use advanced mathematical and computational techniques to solve real-world problems in quantitative finance. Topics will include optimal asset-liability matching, yield curve construction, option valuation, hedging and strategies, portfolio analysis, and risk management. Coursework will emphasize the integration of topics from calculus, linear algebra, and probability with financial theory and applications. Students will develop computational skills using application software such as Excel and MATLAB. Prerequisite(s): MTH 346 Course Offered: Fall Credits: (3,0)
A continuation of MTH 360. Topics chosen from hypothesis testing; sampling distributions; analysis of variance and covariance; nonparametric techniques; probability distributions; multivariate techniques. Prerequisite(s): MTH 360 Credits: (3,0)
This is a course where students work on a variety of open-ended, real- world problems emerging from applied sciences and engineering. Students also work on a research project under the guidance of the instructor and 027 College Catalog
Lectures in applied mathematics that may introduce topics not covered in the Applied Mathematics curriculum or may expand upon the content of existing courses. These topics vary from year to year, and the specific description of the content of each course will be publicized in advance by the department. Examples of such topics are computational linear algebra, applied optimization, dynamical modeling, financial mathematics, etc. Prerequisite(s): MTH 245 and MTH 252 Credits: (3,0)
