A study of the algebraic concepts necessary to be successful in College Algebra. (3 lecture)

A mathematics survey course. Topics will include logic, problem solving, quantitative information in everyday life, probability, statistics and mathematical modeling. (3 lecture)

This co-requisite course is designed to establish the necessary background knowledge to be successful in Quantitative Literacy. (2 lab)

A survey of mathematical topics including Euclidean geometry set theory, number theory, numeration, techniques of problem solving, probability and statistics and the history of mathematics. (3 lecture)

Provides a basic understanding of the algebraic and trigonometric concepts that are necessary to successfully advance in technical fields. Applications covered: fractions and decimals; percentages; area and volume; accuracy and error measurement; pictorial representations of data; metric units of time, temperature and current; linear equations; and trigonometry of triangles. (4 lecture)

Topics include real numbers, basic algebraic operations, solving linear equations and inequalities, graphing linear equations. Includes applications and activities to build skills in problem solving. (2 lab)

Quadratic equations; quadratic type equations; radical equations; rational equations; linear, nonlinear and absolute value inequalities; function concepts; graphing; linear functions and applications; polynomial functions; rational functions; exponential and logarithmic functions; systems of equations using Gaussian elimination; matrix theory and determinants. (4 lecture)

Degree and radian measure, right and oblique triangles, vector applications, graphing, inverse trigonometric functions, identities and conditional trigonometric equations and applications. (3 lecture)

Logic, sets, counting principles, vectors, matrices, probability theory, linear programming, applications. (3 lecture)

For students in other disciplines needing calculus for applications. Limits of sequences and functions, continuity, derivatives, and integrals of polynomials, rational functions, and exponential and logarithmic functions, partial derivatives, maxima and minima. (3 lecture)

Limits, continuity, derivatives and applications, properties of the definite integral, and applications. (4 lecture)

Continuation of Math 155. Derivative and integrals of logarithmic, exponential, and trigonometric functions, techniques of integration; polar coordinates; series. (4 lecture)

Descriptive and inferential statistics, descriptive measures, probability, random variables, discrete and continuous probability distributions, expected value, Central Limit Theorem, confidence intervals, tests of hypothesis, chi-square test, regression and correlation. (3 lecture)

Fundamental concepts of plane & solid Euclidean Geometry including points, lines, space, construction proofs, transformation, area formulas, volume formulas, polygons, circles, coordinate geometry and triangle ratios.

Vector products; linear transformations; matrices and determinants; vector differential calculus; line and surface integrals; double and triple integrals; Green's Theorem; Stokes' Theorem; Fourier Series and Integrals. (4 lecture)

Ordinary differential equations; Laplace transforms; partial differential equations with emphasis on engineering and scientific applications. (4 lecture)

(4 lecture)

(1 lab)

Methods and content with respect to primary grade mathematics. Focus will be on error analysis and guidance for assessment and preventive teaching. (2 lecture)

An introduction to abstract algebra and modern mathematical thinking. Topics include: group properties, sub-groups, Lagrange's Theorem, cosets, permutations, normal sub-groups, homomorphisms, and rings. (3 lecture)

Topics include logic and set theory, functions, algorithms, recursion, combinatorics and graphs. (3 lecture)