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Course Criteria
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5.00 Credits
This course is the second course in single variable calculus. We continue the study of integral calculus with techniques of integration, improper integrals, numerical integration, and applications of integration. Infinite sequences and series are introduced and studied in detail, including convergence testing and power series. The course includes the study of parametric equations and polar coordinates and an introduction to differential equations.
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1.00 - 5.00 Credits
This course will provide flexibility in offering an in-depth review of topics of immediate importance and topical interest. These topics will go beyond the introductory courses in examining specific aspects of the subject matter.
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4.00 Credits
The course covers mathematical topics essential for work in computer science. Topics include: number bases, mathematical induction, sets, relations, functions, congruence, recursion, combinations and permutations, probability, graphs, trees, logic, Boolean algebra, and proof techniques. Computing related problems and examples are integrated throughout the course.
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4.00 Credits
This is a calculus-based first course in the study of probability and statistics. Topics include descriptive statistics and statistical graphs, probability theories, random variables (discrete, continuous, and joint), statistical intervals, hypothesis testing, two-sample inference, and regression (linear and multiple). Additional topics may include analysis of categorical data, analysis of variance, control charts, and Bayesian method.
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5.00 Credits
Topics in this course include solid analytic geometry, vectors in space, scalar and vector products, vector functions and derivatives/integrals, multi-variable functions, partial derivatives, alternative coordinate systems, and double and triple integrals. The geometry of space curves, line and surface integrals, cural and gradient divergence, and Stokes' theorem are also included. Emphasis will be on learning relevant mathematical methods. Prerequisites: Successful completion of Math 1222 with a grade of "C" or better
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4.00 Credits
This course includes vectors and vector spaces, matrices, matrix algebra, linear systems of equations, determinants, linear transformations, eigenvalues and eigenvectors. Students will also be expected to construct proofs relating to linear dependence and/or independence, the span of a set of vectors, and whether a set of vectors satisfies the vector space axioms.
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4.00 Credits
The content of this course covers first and second ordinary differential equations with applications, higher order linear equations, constant coefficients, differential operators, variation of parameters, power series methods, Laplace transforms, and solving systems of differential equations. The student will also be introduced to numerical methods for solving differential equations.
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1.00 Credits
This course will introduce the student to the general role of the healthcare provider as well as the specific role of the Medical Laboratory Technician. Students will learn about and practice infection control and safety, medical terminology, healthcare ethics, venipuncture technique, specimen processing, and quality assurance. The course will run the first half of the fall semester and will meet once a week for 2 hours.
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2.00 Credits
This course is designed to develop working knowledge of urinalysis and body fluid procedures and concepts. It will include urine formation, anatomy and physiology of the kidney, the role of the kidney in health and disease, urine specimen types and collection processes, components of routine urinalysis testing including physical, chemical, and microscopic properties, and clinical correlation of urinalysis lab results. Other body fluids commonly analyzed in the clinical lab will also be discussed. The laboratory component will involve urinalysis routine testing including microscopic exam as well as body fluid routine testing including hemacytometer testing and body fluid differentials.
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1.00 Credits
This course will introduce the student to the basic operation and associated functions related to selected laboratory instruments and equipment. Students will learn and practice pipetting, laboratory mathematics, microscopy, dilutions, and quality control. The course will run the second half of the fall semester and will meet once a week for 2 hours.
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