28 courses with the subject MAT, 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.
MAT 1001Elementary & Intermediate Algebra/MAT LAB4
This course consists of selected topics that include basic concepts of arithmetic and algebra, the real numbers, first degree equations of one variable, inequalities, exponents, polynomials, factoring, rational expression, systems of linear equations and inequalities, roots and radicals. Corequisite: MAT LAB
This course consists of selected topics that include factoring polynomials, rational expression, systems of linear equations and inequalities, roots and radicals.
This course contains algebraic techniques, functions, and graphs which are essential in order to understand and use higher level mathematics. Topics include linear and quadratic equations and inequalities, function notation, combinations, translations and graphs of common functions. Prerequisite: MAT 1001 or MAT 1002, minimum grade C.
This course will teach the foundations of data science and data-driven research. It is designed to serve as an optional elective course for mathematics majors, minors, and other STEM, business, and social science majors who are interested in pursuing data-driven careers or graduate study programs. Students will acquire basic computational skills, basic knowledge of statistical analysis, error analysis, and the basics of machine learning. Students will also be familiarized with good practices for handling small and big data. After this class, students should be able to formulate a question, identify appropriate data to answer the question, prepare and analyze the data, extract knowledge and insights, make decisions and identify the confidence level of decisions. This course will be organized in a modular fashion, with labs and projects assigned to students for group work.
This course is designed for students in the Social Sciences. The goal of the course is to give the student a working knowledge of the areas of mathematics that are most applicable to his or her particular discipline. Among the topics studied will be elementary matrix algebra, linear programming, logarithms, progressions, and the mathematics of finance. Prerequisite: MAT 1010, minimum grade C
This is the first course in the calculus sequence designed for students intending to major in mathematics, natural sciences, and engineering. The topics covered will include: the straight line, functions, plane analytic geometry, limits, continuity, derivatives of algebraic and trigonometric functions, with applications to velocity, rates, extreme curve plotting and optimization, differentials, Rolle’s theorem, mean value theorem, and integration. LINCOLN UNIVERSITY 2026
This course is designed for prospective high school teachers of mathematics. After a quick review of introductory topics in Euclidean geometry, the course will cover advanced topics in Euclidean geometry, and basic topics in non-Euclidean geometry.
This course is an introduction to the development and study of mathematical models. It is designed in such a way that students from other disciplines will find it useful as a summary of modern mathematical methods, and mathematics majors will benefit from applications of mathematics to real life problems. Undergraduate students from the Natural and Social Sciences will find most of the material accessible because the prerequisite is basic calculus.
The following topics will be covered in this course: vector spaces, subspaces, bases, dimension, linear dependence and independence, linear transformations, matrices, matrix operations, rank equivalence relations, eigenvalues, eigenvectors. Prerequisite: MAT 1011, minimum grade C
This course consists of the study of sets and equivalence classes, Boolean algebra, the role of axiomatics in the structure of mathematics, basic principles of logic involving rules of modus ponens, reduction and absurdum, prepositional calculus, first order logic and the nature of mathematical proof. Prerequisite: MAT 1021, minimum grade C
Chemistry Major Total (ACS accredited) 76 credits General Education 52 credits Major 72 credits General Elective 4 credits Total required for BS degree 128 credits General Education 52 credits Major 72 credits Language through 2002 level 8 credits Total required for BA degree 128 credits LINCOLN UNIVERSITY 2026
This course is a study of strategies, techniques, materials, technology, and current research used in the teaching of mathematical concepts to high school students. Students will review the traditional and contemporary standards involved in teaching mathematics at the secondary school level; develop an awareness of the professional resources, materials, technology and information available for teachers; prepare unit and lesson plans with related assessment procedures on a variety of topics; and acquire teaching experience by taking part in individual tutoring, observation at a high school, and/or presenting lessons at the appropriate level.
Modern computational algorithms for the numerical solution of a variety of applied mathematics problems are considered. Topics include numerical solution of polynomial and transcendental equations, acceleration of convergence, Lagrangian interpolation and least squares approximation, numerical differentiation and integration.
2000-level: Select one (1): 34 One additional MAT course at the 2000 level 4 3000-4000-level: Select three (3): 12 Three additional MAT courses at the 3000-4000 levels 12 Total General Mathematics Track 48 credits General Education 52 credits Major 52 credits Electives 24 credits Total required for BS degree 128 credits General Education 52 credits Major 48 credits Language through 2002 level 8 credits Electives 20 credits Total required for BA degree 128 credits LINCOLN UNIVERSITY 2026
This is the second course in a yearlong sequence designed for Mathematics majors. The topics include distribution of random variables, conditional probability and stochastic independence, special distributions including the t and F distributions, moment generating techniques, limiting distributions, and the central limit theorem. Prerequisite: MAT 3041, minimum grade C LINCOLN UNIVERSITY 2026