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Course Criteria
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3.00 Credits
Prerequisite: MAT 125 Continuation of MAT 125. Topics include random sampling, experimental and observational studies, fundamentals of probability, confidence intervals and hypothesis testing on two populations and two proportions, F and Chi-Square distributions, analysis of variance, and basic nonparametric tests. Studies include the use of statistical software. 3 lecture hours
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4.00 Credits
Prerequisite: MAT 037 (or MAT 037A and 037B) or MAT 043 with a minimum C grade or appropriate placement test score Topics include function notation; linear, quadratic, and absolute value functions and equations; rational expressions and equations; rational exponents and equations; radicals and radical equations; graphing of linear, quadratic, and polynomial functions; and inequalities. [grade of B- or better is strongly recommended to proceed to MAT 146] 4 lecture hours
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4.00 Credits
Prerequisite: MAT 037 (or MAT 037A and 037B) or MAT 042 with a minimum C grade or appropriate placement test score Designed for students majoring in disciplines involving less intensive math, for which a more conceptual understanding of college algebra is appropriate. Employing extensive examples from a variety of fields, topics include the study of linear, exponential, logarithmic, polynomial and rational functions. Not intended as preparation for Pre-Calculus or Calculus. 4 lecture hours.
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4.00 Credits
Prerequisite: MAT 135 with a minimum C grade or appropriate College Level Math placement test score In-depth study of polynomial, rational, exponential, logarithmic, trigonometric and inverse trigonometric functions, equations, and identities; systems of equations including matrices; extensive use of graphing calculators. [grade of B- or better is strongly recommended to proceed to MAT 151] 4 lecture hours
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4.00 Credits
Prerequisite: MAT 146 with a minimum C grade or appropriate College Level Math placement test score Application-based topics include the fundamental techniques of differentiation and integration of algebraic, trigonometric, exponential and logarithmic functions. Study focuses on optimization, maxima-minima and marginal analysis for differentiation and includes substitution method among other specific integration techniques. Not intended as a prerequisite for MAT 152. 4 lecture hours
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4.00 Credits
Prerequisite: MAT 146 with a minimum C grade or appropriate College Level Math placement test score First course in the standard integrated calculus sequence. Topics include differentiation of algebraic, exponential, logarithmic, trigonometric, hyperbolic, and inverse trigonometric functions. Applications include curve sketching, related rates, maxima, minima, and approximations as well as integration and applications of the definite integral. 4 lecture hours
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4.00 Credits
Prerequisite: MAT 151 with a minimum C grade and consultation with mathematics faculty member Continuation of MAT 151. Topics include techniques of integration, areas, volumes, arc length, surface area, improper integrals, Simpson's Rule, infinite sequences, MacLaurin and Taylor series, differentiation of polar and parametric equations, conic sections in rectangular and polar form, and rotation of axes. 4 lecture hours
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3.00 Credits
Prerequisite: MAT 135 with a minimum C grade or appropriate College Level Math placement test score or permission of department An applied statistics course for the social sciences, nursing, etc. Topics include data production and access, one-variable data analysis, correlation and regression, normal and binomial distributions, sampling distributions, estimation and tests of hypotheses for a single sample. MINITAB statistical software is used to calculate statistics and generate graphs. 3 lecture hours
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4.00 Credits
Prerequisite: MAT 151 or MAT 149 with a minimum C grade or permission of department Calculus-based course designed for engineers, computer scientists and science majors. Topics include one variable data analysis, sample regression analysis, probability, discrete and continuous distributions, random samples, confidence intervals and hypothesis testing, contingency tables, as well as one factor and factorial experimental design. 4 lecture hours
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3.00 Credits
Prerequisites: MAT 200 with a minimum C grade or permission of department Second-semester course in an academic year sequence for social sciences, humanities, nursing and related fields. Employs statistical software for studies of probability, inference for two parameters, inference for regression and correlation, analysis of variance, analysis of categorical data, and nonparametric statistics. [Spring offering] 3 lecture hours
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