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Course Criteria
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8.00 Credits
1-4 credits Under faculty supervision, learning assistants develop and practice instruction and interaction skills for working effectively with students in a specific discipline. Supplemental instructors and undergraduate teaching assistants are examples. May be repeated for a total of 8 credits. Fall, Spring.
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3.00 Credits
Intensive review of the arithmetic and basic algebra needed for success in MATH 120, MATH 130, and many science courses. Credits do not apply toward graduation. Graded Pass/No Pass. Course may be repeated until passed. Occasionally.
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3.00 Credits
Intensive review of the basic mathematics needed for success in MATH 171 Structure of Number Systems. Topics: place value, whole number computation, fractions, decimals, percents, integers, basic algebra, and problem solving. Credits do not apply toward graduation. Graded Pass/No Pass. Course may be repeated until passed. Fall, Spring.
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1.00 Credits
1 credit Intensive review of fractions, decimals, percents, order of operations, solving equations, evaluating formulas, ratios and proportions and linear functions. Open only to Management majors and minors who do not pass the mathematics assessment exam for management. Fall, Spring.
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3.00 Credits
Algebra and trigonometry taught in context, using technology to enhance understanding of algebraic concepts. Topics include numeracy; data analysis; linear, quadratic, and exponential growth; formula use; laws of exponents; logarithms; and systems of equations. Not open to students who have completed MATH 130 or MATH 151. Fall, Spring.
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3.00 Credits
Functions explored from numerical, graphical, and analytic perspectives. Function notation, operations, and inverses. Includes study of polynomial, rational, exponential, logarithmic, and trigonometric functions. Intended as a preparation for calculus and not open to students who have taken calculus in college. Presumes competency in the content of MATH 120. Fall, Spring.
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3.00 Credits
This course is an introduction to the formal mathematical concepts necessary for the study of computer science. Topics include elementary logic, set theory, relations, deduction, induction, algorithmic processes, graph theory, and data analysis. Spring.
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3.00 Credits
Basic tools of descriptive statistics, discrete probability, binomial distribution, normal distribution, t-distribution, estimates and sample sizes, hypothesis testing, elementary correlation and regression, contingency tables. Use of graphing calculator and spreadsheet software. May not be taken for credit by students who have completed PSYC 251. Fall, Spring.
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3.00 Credits
Topics include limits, continuity and derivatives of functions of one and two variables, integrals of a function of one variable and the Fundamental Theorem of Calculus. Applications of differentiation and development of mathematical modeling skills will be emphasized. Presumes competency in content of MATH 130. Computer algebra system introduced. Fall, Spring.
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3.00 Credits
Techniques of integration for functions of one and several variables; first and second order differential equations; applications such as area, volume, and arc length; apply Taylor series to find power series representations of functions. Continued use of a computer algebra system. Prerequisite: Grade C or higher in MATH 151. Fall, Spring.
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