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Course Criteria
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4.00 Credits
Study of functions and graphs. Includes linear, polynomial, rational, exponential, logarithmic, and trigonometric functions and systems of equations. Pre-requisite: placement score of at least 3 or MA106.
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3.00 Credits
Analysis, description and solution of problems arising in business, computer science, and natural and social sciences. Emphasis on mathematical models whose construction and solution involve a finite number of clearly defined steps. Includes an introduction to finite probability and elementary statistics. Topics selected from matrices, systems of linear equations, linear inequalities, linear programming, functions and their graphs, Markov processes, game theory, decision theory, mathematics of finance and networking. Pre-requisite: placement score of at least 3 or C or above in MA106.
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3.00 Credits
Introduction to descriptive statistics, relevant concepts in probability including random variables and their distributions, sampling, inferential statistics and regression. Applications to several disciplines. Pre-requisite: placement score of at least 3 or MA106.
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3.00 Credits
Surveys and explores a broad spectrum of mathematical topics with an emphasis on observing the many practical uses of mathematics in our modern society. Concentrates on mathematical literacy, not manipulative techniques. Topics have included voting methods, apportionment, money, paths and networks, tilings and polyhedra, fractals, codes, game theory, environmental mathematics, and ethnomathematics. Pre-requisite: ACT Mathematics Subscore 22 or higher or placement score of at least 3 or MA106. This course does satisfy the Q.R. requirement, but does not count as a prerequisite for any other mathematics or Q.R. course. Therefore, only students who do not intend to take additional mathematics courses should choose this option.
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0.00 - 4.00 Credits
Differential and integral calculus from the symbolic, graphical and numerical perspectives. Topics covered include: concepts of limit, continuity, derivative and integral; applications of the derivative as rate of change, slope and solving max-min problems. Pre-requisite: Mathematics 114 or four years of high school mathematics including some trigonometry and placement score of at least 3.
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3.00 Credits
No course description available.
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4.00 Credits
No course description available.
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3.00 Credits
Introduces basic techniques and modes of reasoning of combinatorial problem solving. Introduces rigorous theoretical frameworks within which ideas about computer science can be expressed. Topics include graphs, trees, logic, networks, coding, and combinatorics. Pre-requisite: Mathematics 114 or equivalent or consent of instructor and placement score of at least 3.
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2.00 Credits
No course description available.
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3.00 Credits
Introduction to major methods of applied statistics. Topics may include simple and multiple regression, analysis of variance and co-variance, model specification and residual analysis, nonparametric inference, experimental design, and, multivariate analysis. Pre-requisite: Mathematics 120.
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