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Course Criteria
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3.00 Credits
Develops problem-solving skills necessary to successful independent careers. Students explore different types of problems, learn various thinking skills, and develop communications abilities. Most class work is done in small groups to enhance group problem-solving skills. Innovative thinking techniques are woven into the course. Problems and problem analysis are presented from an organizational perspective. Extensive writing required. Normally offered during the spring. (Formerly HUM 250.) (See also BBG* 280) Prerequisite: Completion of 24 credits of college work.
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3.00 Credits
A concentrated review of beginning algebra concepts and basic arithmetic skills. Includes basic computations, signed numbers, equation solving, fractions, decimals, ratio and proportion, percents, geometry, and applications. (Formerly MATH 075: Number Sense, Geometry, and Prealgebra Foundations.)
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3.00 Credits
An introduction to algebra. Includes a study of signed numbers, operations on polynomials, factoring, rational expressions, graphing, linear and quadratic equations, radicals, exponents, and applications. (Formerly MATH 095.) Prerequisite: Grade of "C" or better in MAT* 075 or Mathematics Assessment Test.
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3.00 Credits
This course is designed to meet the mathematics core program requirement of General Studies majors. It also serves as a prerequisite to statistics and requires no prior algebra background. Topics include: mathematical concepts of marketing and finance that include applications from both a business and consumer perspective; an introduction to geometry, probability, statistics, and spreadsheeting; and basic algebraic operations. Students are required to have a hand-held scientific calculator. (Formerly MATH 115: Fundamentals of Applied Mathematics.) Prerequisite: MAT* 095.
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3.00 Credits
An introduction to some of the concepts and techniques of descriptive basic statistics, probability and normal distributions sampling theory, statistical inferences, linear regression, linear correlation, and the Chi-square distribution. Computer instructional software is used to enhance the student's experience. (Formerly STAT 110: Statistics I.) Prerequisite: MAT* 095 or MAT* 121.
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3.00 Credits
An introduction to statistical inferences of hypothesis testing, estimation for means, proportions and variances, determination of sample size, use of Chi-square distribution, analysis of variance, linear correlation and linear regression, and non-parametric statistics. Computer instructional software is used to enhance the student's experience. (Formerly STAT 111: Statistics II.) Prerequisite: MAT* 123.
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3.00 Credits
A survey course focused on developing the mathematical and quantitative capabilities of students by emphasizing the application of mathematics to contemporary problems. Topics include the mathematics of voting, distribution of power, optimal routing, planning/scheduling and resource allocation, growth and symmetry models, and making choices and decisions based on data analysis. (Formerly MATH 118: Contemporary Mathematics.) Prerequisite: Grade of "C" or better in MAT* 095 or Assessment Test Placement.
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3.00 Credits
A further study of algebra. Includes a study of functions and mathematical modeling as applied to polynomials, rational expressions, linear and quadratic equations, radicals, and exponents. Graphing calculator required. (Formerly MATH 102: Algebra II.) Prerequisite: Grade of "C" or better in MAT* 095 or Mathematics Assessment Test.
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3.00 Credits
A survey of the use of mathematics in the social sciences. Includes a study of set theory, logic, combinatorial analysis, probability, statistics, math of finance and geometric linear programming. Emphasis will be on the construction and interpretation of mathematical models. (Formerly MATH 110.) Prerequisite: MAT* 095 or Mathematics Assessment Test.
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3.00 Credits
The purpose of this course is to enable students to organize, present, and analyze data by applying descriptive and inferential statistical methods and processes. Topics include exploratory data analysis, graphing techniques, measures of central tendency and variability, the normal distribution, correlation and regression, basic sampling theory, mean and proportion sampling distributions, confidence intervals, statistical inference, elements of hypothesis testing, one and two sample tests for means and proportions, and analysis of variance. (Formerly MATH 167: Statistics with Technology.) Prerequisite: Grade of "C" or better in MAT* 137 or Placement Test.
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