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Course Criteria
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4.00 Credits
Plane analytic gepagometry, functions, introduction to limits and continuity, the derivative, curve sketching using derivatives, applications of the derivative, definite integration, fundamental theorem of calculus, vectors, and conic sections. Prerequisites: MAT111 & MAT112
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0.00 Credits
Applications of integration including volume and surface area, integration techniques, L'Hopital's rule, sequences and series, power series representations of functions, parametric equations and polar coordinates. Prerequisite: MAT221.
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3.00 Credits
The application and theory of linear algebraic structures, linear transformations, matrices, vectors and vector spaces, echelon systems, and canonical forms. Prerequisite: MAT221
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3.00 Credits
A basic course in descriptive and inferential statistics for students of the natural and social sciences and business. Includes applications of parametric and non-parametric statistics to data analysis problems. Prerequisite: MAT107
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3.00 Credits
Students will learn selected quantitative methods that can be used in decision making. Emphasis will be given to the application of the methods, especially in business. Prerequisite: MAT111
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4.00 Credits
Epsilon - Delta' definitions, indeterminate forms, infinite series, solid analytic geometry, partial derivatives, multiple integrals, vector fields, line and surface integrals, Green's Theorem and Stokes' Theorem. Prerequisite: MAT222
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3.00 Credits
Logic, sets, techniques of proof, development and topology of the real number system, functions, sequences and series of real numbers and functions, continutiy, rigorous treatment of differentiation and integration. Prerequisite: MAT323.
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3.00 Credits
Course introduces the foundations of discrete mathematics with applications to computer science. It provieds a basis in discrete mathematical structures and a rigorous introduction to the theoretical framework necessary for subsequent work in advanced discrete mathematics, theoru of computation, database design, compiler design, and other theoretically grounded computer science courses. Topics include functions and relations, propositional logic, Boolean algebra, graph theory and structures, and an introduction to proof techniques. Prerequisites: MAT221 and CSC351.
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3.00 Credits
This course covers ordinary differential equations, higher order linear equations, systems of first order equations, series and numerical solutions with applications. Prerequisites: MAT222 or MAT323
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3.00 Credits
This course is an introduction to the theory and concepts of modern algebra as well as to their role in unifying other mathematical notation and their application in such areas as groups, rings, field, Boolean Algebras. Prerequisite: MAT222
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