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Course Criteria
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3.00 Credits
This course covers the theories and structures of mathematics needed for the study of computer science. Topics include: set theory, formal logic, introduction to proof writing, mathematical induction, Boolean algebra, number theory, matrix algebra, combinatorics, probability, algorithmic analysis, recursion, relations, graph theory, and trees.
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3.00 Credits
This course explores the fundamental properties of Euclidean and non-Euclidean geometry to gain a deeper understanding of the underlying principles involved, as well as applications. Topics include: points, line, geometric shapes in two and three dimension, measurement, similarity and congruence, proof techniques, and geometry in nature and art.
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3.00 Credits
This course reviews the concepts required for more advanced college mathematics. It covers arithmetic, order of operations, fractions, variable expressions, solving linear equations in one variable, exponents and polynomials, quadratic equations, and graphing. It is graded S/U. (Course cannot be used for graduation requirements.)
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3.00 Credits
This course provides students with an introduction to the need for and methods for data cleaning. The course presents methods for locating and handling invalid values, out-of-range values, and missing values along with methods for managing datasets. The course uses SAS software.
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3.00 Credits
This course develops mathematical topics drawn from the areas of data analysis, measurement, geometry, probability, and statistics. It promotes the development of a deep understanding of the underlying concepts of these topics while maintaining an appropriate level of mathematical precision. This course is the second in a two-part sequence.
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3.00 Credits
This course explores techniques and tools for creating effective data visualizations. The course covers the creation and exploration of visualizations for categorical data, time series data, spatial and geospatial data. SAS software will be used for this course.
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3.00 Credits
This course is designed to provide the mathematical foundation needed by students majoring in a business discipline. Topics include functions, functional models (linear, quadratic, polynomial, rational, exponential, and logarithmic), limits, and differentiation. Applications in business and economics are incorporated throughout the course.
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3.00 Credits
This course introduces the fundamental concepts of differential and integral calculus, emphasizing applications from business, economics, biological science, and the social sciences through an intuitive approach. It includes derivatives and their applications, integrals and their applications, and integration techniques.
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4.00 Credits
This course introduces the student to the theory and applications of the concepts of limit, continuity, derivatives, and integration. Emphasis is placed upon the study of polynomial, rational, and trigonometric functions.
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4.00 Credits
This course is a continuation of Calculus I. Students will solve multi-step problems using differentiation and integration of transcendental functions, techniques of integration, polar coordinates, derivatives and area in polar coordinates, indeterminate forms, improper integrals, and infinite sequences and series.
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