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Course Criteria
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3.00 Credits
Topics in this course include functions, limits, derivatives, maxima and minima problems, integration, and the application of the calculus to problems in business and social sciences. Lecture ( 45.00) Prerequisites: MTH-120, MTH-125 and ENG-013
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4.00 Credits
Topics discussed include polynomial, exponential, logarithmic, and trigonometric equations, functions and their graphs, Trigonometric identities, solutions of triangles and their application. MTH-125 is an intensive and fast-passed course requiring total proficiency in Intermediate Algebra. For a moderately paced alternative, students should consider taking the Pre-Calculus I and II sequence. Lecture ( 60.00) Prerequisites: MTH-109 and ENG-013
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4.00 Credits
This is an introductory course to the principles, concepts and applications of discrete mathematics intended for mathematics and computer science students. Topics such as logic and proof; sets, functions, and relations; graphs and trees; and combinatorics will be presented. The study and use of algorithms will be emphasized. (Course offered in fall semester only) Lecture ( 60.00) Prerequisites: MTH-125 or MTH-130
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3.00 Credits
This is a rigorous trigonometry and pre-calculus course designed for engineering science, technology, natural sciences, and mathematics majors. In addition to trigonometry, other topics covered include conics, sequences, polar coordinates and parametric equations. The teaching and use of graphing calculators are an integral part of the course. Their use throughout the course will facilitate understanding of salient concepts. Students are encouraged to purchase a Texas Instruments TI-83 or TI-83 Plus calculator. Lecture ( 45.00) Prerequisites: MTH-120 and ENG-013
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4.00 Credits
This course is designed for technology students who need a basic knowledge of statistical and elementary research techniques. Topics covered include: frequency distributions, sigma notation, measures of central tendency, measures of variability, fundamentals of probability, binomial distribution, normal distribution, sampling distributions, Central Limit Theorem, confidence intervals, sample size determination, hypothesis testing on a single population, regression and correlation, and Statistical Process Control (SPC). Lecture ( 60.00) Prerequisites: MTH-109 and ENG-013
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4.00 Credits
This course emphasizes experimentation and application of statistical methods to the life and health sciences. Topics include exploring, describing, and organizing data; discrete and continuous random variables and probability distributions; estimation and hypothesis testing; linear regression and correlation; analysis of variance; and non-parametric methods. A statistical software package will be used to manipulate data, carry out statistical analyses and formally present results. Biology majors will comprise most of the students registering for this course. Lecture ( 45.00) Laboratory ( 30.00) Prerequisites: MTH-140, BIO-111 and ENG-101
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4.00 Credits
Topics covered include matrices; determinants; solutions of linear systems; vectors; vector spaces; linear transformations; eigenvalues and eigenvectors; applications; and inner product spaces. Lecture ( 60.00) Prerequisites: MTH-140
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4.00 Credits
Topics include applications of the definite integral; techniques of integration; indeterminate forms and L'Hopital's Rule; improper integrals; sequences; and infinite series. Lecture ( 60.00) Prerequisites: MTH-140
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4.00 Credits
Topics include parametric and polar equations; function of severql variables, partial derivatives, and multiple iintegrals; vectors, vector-valued functions, and vector analysis. Lecture ( 60.00) Prerequisites: MTH-150
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4.00 Credits
Topics covered include solution of first order differential equations, higher order linear differential equations and applications; undetermined coefficients; Laplace transforms; systems of differential equations; and numerical techniques to solve initial value differential equations. Lecture ( 60.00) Prerequisites: MTH-150 Corequisites: MTH-210
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