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Course Criteria
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3.00 Credits
This course is designed to prepare the student to teach the geometry of the K-8 curriculum. Topics include basic concepts and propertieis of two-and three- dimensional space, perimeter, area, volume, parallelism, perpendicularity, congruence, similiarity, transformations and constructions. Full Course Title: Geometry for Elementary and Middle School Teachers.
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0.00 Credits
Lecture 3, Lab 0, Credit 3 Designed for Liberal Arts majors who need a second math course to complete their General Education math requirements or who need additional preparation in math prior to taking MATH 201. Includes systems of linear equations, vectors, matrices, and matrix algebra; linear inequalities and linear programming; counting techniques; permutations and combinations; probability; and basic concepts in introduction to statistics. Prerequisite: MATH 101 or MATH 110 or placement by department
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0.00 Credits
Lecture 3, Lab 0, Credit 3 Focuses on limits, continuity, and differential and integral calculus for algebraic, logarithmic, and exponential functions. Introduces applications in business and economics, such as optimization, marginal analysis, and exponential growth models. Prerequisites: MATH 101, MATH 110, or MATH 120; MATH 200 recommended
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3.00 Credits
This course will focus on: limits, continuity, and differential and integral calculus for algebraic, logarithmic, and exponential functions together with applications in business and economics, such as optimization, marginal analysis, and exponential growth models.
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0.00 Credits
Lecture 3, Lab 0, Credit 3 Includes descriptive statistics: graphical, tabular, and computer data summary; measures of location and dispersion and their application; basic probability, rules, and relationships; Bayes theorem; discrete and continuous probability distributions (especially the binomial and normal); sampling and sampling distribution; inferential statistics; single population; estimation, and hypothesis testing for the mean, proportion, and associated errors; sample side determination; and p-values. Prerequisite: Math ACT score of 22 or better or Compass College Algebra score of 26 or better or passed MATH 101/110 with C or better
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3.00 Credits
Continuation of Math 202; brief review of Math 202; data analysis (including computer applications) and interpretation using correlation and simple regression, multiple regression, analysis of variance; analytical approaches to decision making using linear programming and decision analysis.
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3.00 Credits
No course description available.
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4.00 Credits
Descriptive statistics; inferential statistical methods confidence interval estimation and hypothesis testing for one and two population means and proportions; one-way analysis of variance; simple linear regression and correlation; analysis of categorical data.
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0.00 Credits
Lecture 5, Lab 0, Credit 5 Focuses on limits, continuity, and differentiation and integration of algebraic, trigonometric, exponential, and logarithmic functions from analytical and graphical points of view. Prerequisites: MATH 101 or MATH 110 and MATH 111 or MATH 120
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0.00 Credits
Lecture 5, Lab 0, Credit 5 Continues the focus on applications of the derivative and integral. Includes parametric equations, polar coordinates, infinite sequences and series, three-dimensional geometry, vectors, and partial derivatives. Prerequisite: MATH 210
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