Precalculus for Management & Social Sciences MATH 104

A selection of topics in algebra and elementary analytic geometry including (but not restricted to): properties of real numbers, linear equations and inequalities, absolute value equations and inequalities, polynomials, rational expressions, exponents and radicals, quadratic equations, functions, linear, quadratic, and polynomial models, rational, exponential and logarithmic functions. Applications and graphs are stressed throughout the course. This course is intended to prepare students who have only had one year of high school algebra to take MATH 134. 4 credits.

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Precalculus MATH 121

A review of topics in algebra, trigonometry and analytic geometry intended for students needing one additional semester of preparation before taking MATH 165. Students may not use this course alone to satisfy the CAS math requirement. Pre-requisites: MATH 104 or MATH 108 or qualifying placement exam score indicating solid grounding in intermediate algebra. 4 credits back to top^

Finite Math with Recitation MATH 130

Topics to be chosen from: linear equations, graphing, linear programming, sets, Venn diagrams, counting and combinatorics, probability theory, conditional probability, Bayes theorem. Prerequisite: Two years of high school algebra or MATH 104 or MATH 108. 4 credits.

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Calculus for Management & Social Sciences MATH 134

A one-semester introduction to differential and integral calculus. Theory is presented informally and topics and techniques are limited to polynomials, rational functions, logarithmic and exponential functions. (This course cannot be used to satisfy core or complementary requirements by students majoring in biology, chemistry, computer science, engineering, mathematics or physics). 4 credits.

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Applied Statistics STATS 250

Application of statistical analysis to real-world business and economic problems. Topics include data presentation, descriptive statistics including measures of location and dispersion, introduction to probability, discrete and continuous random variables, probability distributions, sampling and sampling distributions, statistical inference including estimation and hypothesis testing, simple and multiple regression analyses. 4 credits.

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