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Course Criteria
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3.00 Credits
This course provides a continuation of the mathematics preparation for students interested in elementary education. Topics include graphs, functions, probability, statistics, measurement, and geometry.
Prerequisite:
MATH102 (C or better) or Permission of the Department of Science, Technology, Engineering & Mathematics
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3.00 Credits
This course is primarily for students in technological career programs. Topics include basic arithmetic and algebraic operations; binary, octal and hexadecimal numbers; and Boolean logic. Emphasis is on applications for careers using digital technology.
Prerequisite:
Math Placement Test score of 5 or higher or Math095 (C or better)
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3.00 Credits
This course is primarily for business, science, liberal arts, and education majors. Topics studied include descriptive measures for empirical data, theory of probability, probability distributions, sampling distributions of statistics from large and small samples, estimation theory, hypothesis testing, correlation, and regression.
Prerequisite:
Math Placement Test score of 7 or higher or MATH101 (C or better) or MATH103 (C or better) or MATH110 (C or better)
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3.00 Credits
This course is primarily for business, science, liberal arts, and education majors. Topics studied include descriptive measures for empirical data, theory of probability, probability distributions, sampling distributions of statistics from large and small samples, estimation theory, hypothesis testing, correlation, and regression.
Prerequisite:
Math Placement Test score of 7 or higher or MATH101 (C or better) or MATH103 (C or better) or MATH110 (C or better); admission to the Honors at Bucks program
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3.00 Credits
This is primarily for students of accounting, business, economics, management, data processing, technologies, and related fields. Topics include linear and quadratic models, matrix theory, linear systems and linear programming, probability, and expected value.
Prerequisite:
Math Placement Test score of 7 or higher or MATH103 (C or better)
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3.00 Credits
This is an introduction to basic calculus with emphasis on applications to business, economics, management, information science, and related fields. Topics include relations and functions, limits, continuity, derivatives, techniques of differentiation, chain rule, applications of differentiation, antiderivatives, the definite integral, the fundamental theorem of calculus, and applications of integration.
Prerequisite:
Math Placement Test score of 8 or higher or MATH117 (C or better) or MATH120 (C or better)
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4.00 Credits
This course is designed to strengthen and increase the understanding of basic algebraic concepts before a student undertakes advanced study in mathematics. Topics include algebra of the real numbers, algebraic, exponential, and logarithmic functions and their graphs, systems of equations, inequalities, and absolute value.
Prerequisite:
Math Placement Test score of 7 or higher or MATH103 (C or better)
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3.00 Credits
This course enables students to strengthen and increase the understanding of discrete mathematics with special emphasis on computer science applications. Topics include sets, number systems, the nature of proof, formal logic, functions and relations, combinatorics, recurrence relations, trees and Boolean algebra.
Prerequisite:
MATH140 (C or better) or Permission of the Department of Science, Technology, Engineering & Mathematics
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3.00 Credits
Topics in this course include right triangle trigonometry, trigonometric functions and their inverses, identities, equations, solutions of oblique triangles, complex numbers, and analytic geometry.
Prerequisite:
Math Placement Test score of 8 or higher or MATH120 (C or better)
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4.00 Credits
This course introduces the foundations of analysis designed to precede the calculus sequence with emphasis on functions and graphs. Topics include properties of absolute value, polynomial, rational, exponential, logarithmic and trigonometric functions, techniques for solving equations and inequalities, and an introduction to the concept of limits and the difference quotient.
Prerequisite:
MATH Placement Test score of 9, or MATH122 (C or better), or MATH120 (C or better) and High School Trigonometry
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