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MATA 106: Apprenticeship Mathematics VI Sem II
1.00 Credits
Vincennes University
Prerequisite: MATA 105 with a C or better grade. This course is designed specifically for Associated Builders and Contractors Association Apprenticeship Students. This course covers the principles and applications of right-angle trigonometry including analysis of trigonometric functions, calculations of angles and sides of right triangles. 1 lecture hour.
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MATA 106 - Apprenticeship Mathematics VI Sem II
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MATH 009: Arithmetic
4.00 Credits
Vincennes University
Review of four basic operations with whole numbers, fractions and decimals, percentages, proportions and measurement. This course is required of all students with an AR score of 34 or less. 4 lecture hours.
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MATH 009 - Arithmetic
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MATH 011: Pre- Algebra
4.00 Credits
Vincennes University
Prerequisite: MATH 009 with a C or better grade, or open to other students with a CPT AR score of 35 or greater. Review of four basic operations with respect to whole numbers, fractions, and decimals. Exponents, prime numbers, square roots, percents, metric system, denominate numbers and basic algebra skills. 4 lecture hours.
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MATH 011 - Pre- Algebra
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MATH 012: Beginning Algebra
3.00 Credits
Vincennes University
Prerequisite: MATH 011 with a C or better grade, or open to other students with a CPT AR score of 64 or greater and an EA score of 32 or more OR an EA score of 40 or greater. Number systems, linear equations, exponents, polynomials, factoring, rational expressions and equations, applications and formulas, graphing, and systems of equations. 3 lecture hours.
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MATH 101: Intermediate Algebra
3.00 Credits
Vincennes University
Prerequisite: MATH 012 with a C or better, or open to other students with a CPT EA score of 53 or greater. Systems of equations and inequalities, polynomials and exponents, factoring, rational expressions and equations, roots, radicals, and complex numbers, quadratic equations, and applications. 3 lecture hours.
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MATH 101 - Intermediate Algebra
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MATH 102: College Algebra
3.00 Credits
Vincennes University
Prerequisite: MATH 101 with a C or better, or open to other students with a CPT EA score of 74 or greater. Designed as a pre-calculus course for the study of functions (including polynomial, rational, exponential, and logarithmic) and their graphs; includes transformations of functions, operations on functions, solution methods for linear and nonlinear equations, systems, and inequalities, and selected topics from analytic geometry. Utilizes graphing technology. 3 lecture hours.
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MATH 102 - College Algebra
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MATH 103: Mathematics and Its Applications
3.00 Credits
Vincennes University
Prerequisite: MATH 101 with a C or better grade, or an Accuplacer CPTS EA score of 74 or greater. Street networks, visiting vertices, planning and scheduling, linear programming, producing data, exploring data, probability and statistical inference. This course is a transferIN course. 3 lecture hours.
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MATH 103 - Mathematics and Its Applications
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MATH 104: Trigonometry
3.00 Credits
Vincennes University
Prerequisite: MATH 102 with a C or better grade; may be taken concurrently with MATH 102. Discussion of trigonometric functions of angles and numbers. Use of trigonometric functions both in triangle solutions and in study of physical phenomena such as electric circuit and sound waves. Trigonometric identities and of inverse trigonometric functions. 3 lecture hours.
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MATH 104 - Trigonometry
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MATH 110: Statistics
3.00 Credits
Vincennes University
Prerequisite: A C or better in MATH 102 or higher or a CPTC score of 55 or higher. Designed for education, social science and other non-math majors. Tabular and graphical representation of statistical data, measures of central tendency and dispersion, basic probability sampling, statistical inference, and correlation. 3 lecture hours.
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MATH 110 - Statistics
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MATH 111: Finite Mathematics
3.00 Credits
Vincennes University
Prerequisite: MATH 101 with a C or better grade, or open to other students with a CPT EA score of 74 or greater. Set theory, linear systems, matrices, determinants, probability, and linear programming. Applications to problems from business and social sciences. 3 lecture hours.
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