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This course includes the study of rational numbers and their applications, operations with algebraic expressions, linear equations and applications, linear inequalities, graphs of linear equations and inequalities, operations with exponents and polynomials, and factoring.

This course provides a review, in a compressed time frame, of the algebra skills studied in MAT 102. Topics include rational numbers, operations with algebraic expressions, linear equations, linear inequalities, operations with exponents and polynomials, and factoring.

This course includes the following topics: operations with signed numbers and algebraic expression; solving linear equations; factoring; and an introduction to graphing.

This course includes the following topics: elementary algebra, geometry, trigonometry, and applications.

This course includes the following topics: solution of linear and elementary non-linear differential equations by standard methods with sufficient linear algebra to solve systems; applications; series; Laplace transform; and numerical methods.

This course includes the study of linear systems and applications; quadratic expressions, equations, functions, and graphs; and rational and radical expressions and functions.

This course includes the following topics: polynomial, rational, logarithmic, and exponential functions; systems of equations and inequalities; matrices; and solutions of higher degree polynomials.

This course is an introduction to simple linear circuits, voltage, current, resistance, ohm's law, power, AC versus DC, linear solutions to diode, transistor circuits, ideal operational amplifiers and essential terminology.

This course includes techniques and applications of the following topics: properties of and operations with real numbers, elementary algebra, consumer mathematics, applied geometry, measurement, graph sketching and interpretations, and descriptive statistics.

This course introduces the basic concepts of circuit analysis, applying fundamental laws and principles, resistor circuits, and first and second-order linear circuits in the time domain using calculus-based solutions where applicable.

This course includes the following topics: algebraic, exponential, logarithmic, and trigonometric functions and their graphs; analytic trigonometry; analytic geometry; and applications of trigonometry.

This course is an introduction to probability and statistics. Topics include organization of data, calculating probabilities, counting principles, binomial and normal distributions, central limit theorem, confidence, intervals, hypothesis tests, linear regression, and correlation. (Graphic calculator required)

This course covers basic probability and statistics with applications and examples in engineering. Topics include elementary probability, random variables and their distributions, random processes, statistical inference, linear regression, correlation, and basic design of experiments. *Note: This course was developed as a transfer course for use at MTC due to an agreement with the UofSC.*