15 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 130Fundamentals of Reasoning3
credits 3 Presents elementary concepts of algebra, linear graphing, financial literacy, descriptive statistics, and measurement & geometry. Based on college programs being supported by this course, colleges may opt to add additional topics such as: logic or trigonometry. This course is intended for occupational/technical programs. Lecture Hour(s): 3
credits 3 Presents topics in proportional reasoning, modeling, financial literacy and validity studies (logic and set theory). Focuses on the process of taking a real-world situation, identifying the mathematical foundation needed to address the problem, solving the problem and applying what is learned to the original situation. This is a Passport and UCGS transfer course. Lecture Hour(s): 3
credits 3 Presents elementary statistical methods and concepts including visual data presentation, descriptive statistics, probability, estimation, hypothesis testing, correlation, and linear regression. Emphasis is placed on the development of statistical thinking, simulation, and the use of statistical software. Lecture Hour(s): 3
Placement or completion of MTH 161 : Precalculus I or equivalent with a grade of C or better. Lecture Hour(s): 3
MTH 245Statistics I3
credits 3 Presents an overview of statistics, including descriptive statistics, elementary probability, probability distributions, estimation, hypothesis testing, correlation, and linear regression. This is a UCGS/Passport Course.
credits 3 Introduces limits, continuity, differentiation and integration of algebraic, exponential and logarithmic functions, and techniques of integration with an emphasis on applications in business, social sciences and life sciences.
credits 3 Covers techniques of integration, an introduction to differential equations and multivariable calculus, with an emphasis throughout on applications in business, social sciences and life sciences.
Completion of MTH 261 or equivalent with a grade of C or better. Lecture Hour(s): 3
MTH 263Calculus I4
credits 4 Presents concepts of limits, derivatives, differentiation of various types of functions and use of differentiation rules, application of differentiation, antiderivatives, integrals and applications of integration.
Completion of MTH 167 or MTH 161 / MTH 162 PreCalculus I/II or equivalent with a grade of C or better. Lecture Hour(s): 4
MTH 264Calculus II4
credits 4 Continues the study of calculus of algebraic and transcendental functions including rectangular, polar, and parametric graphing, indefinite and definite integrals, methods of integration, and power series along with applications. Designed for mathematical, physical, and engineering science programs.
Completion of MTH 263 Calculus I - Credits: 4 or equivalent with a grade of C or better. Lecture Hour(s): 4
MTH 265Calculus III4
credits 4 Focuses on extending the concepts of function, limit, continuity, derivative, integral and vector from the plane to the three dimensional space. Covers topics including vector functions, multivariate functions, partial derivatives, multiple integrals and an introduction to vector calculus. Features instruction for mathematical, physical and engineering science programs.
Completion of MTH 264 : Calculus II or equivalent with a grade of C or better. Lecture Hour(s): 4
MTH 266Linear Algebra3
credits 3 Covers matrices, vector spaces, determinants, solutions of systems of linear equations, basis and dimension, eigenvalues, and eigenvectors. Features instruction for mathematical, physical and engineering science programs.
credits 3 Introduces ordinary differential equations. Includes first order differential equations, second and higher order ordinary differential equations with applications and numerical methods.
credits 3 Presents basic concepts of probability, discrete and continuous random variables, and probability distributions. Presents sampling distributions and the Central Limit Theorem, properties of point estimates and methods of estimation, confidence intervals, hypothesis testing, linear models and estimation by least squares, and analysis of variance.
