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Course Criteria
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3.00 Credits
A course which covers the same topics as Mathematics 161 while using a workshop experience and collaborative learning to give special emphasis to the development of problem-solving skills. Enrollment is by invitation of the Department of Mathematics. Prerequisite: High school trigonometry Staff
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3.00 Credits
A course which covers the same topics as Mathematics 162 while using a workshop experience and collaborative learning to give special emphasis to the development of problem-solving skills. Enrollment is by invitation of the Department of Mathematics. Prerequisite: A grade of C- or better in Mathematics 161 or 165 Staff
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3.00 Credits
An introduction to discrete structures and algorithms and some mathematical tools and methods of reasoning that aid in their development and analysis. Topics include: sets, counting, probability, algorithms, mathematical induction, relations, graphs, and trees. Prerequisite: Computer Science 102, Mathematics 161 Offered: Spring semester Staff
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3.00 Credits
An introductory course emphasizing standard methods and reasoning used in analyzing data. Topics include exploratory data analysis, design of experiments, least squares analysis, probability, sampling distributions and methods of inferential statistics. Includes an introduction to a statistical computing package. Not open to students who have credit for Mathematics 176 or Psychology 120. Prerequisite: Mathematics 125, 141 or 161, or permission of instructor Staff
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3.00 Credits
A continuation of Mathematics 162. Topics include vector algebra, vector calculus, partial derivatives, gradients and directional derivatives, tangent planes, the chain rule, multiple integrals and line integrals. Prerequisite: A grade of C- or better in Mathematics 162 or 166 Staff
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3.00 Credits
An introductory course in ordinary differential equations including techniques of elementary linear algebra. Emphasis is on first-order equations, and higher-order linear equations and systems of equations. Topics include qualitative analysis of differential equations, analytical and numerical solutions, Laplace transforms, existence and uniqueness of solutions, and elemental models in science and engineering. Prerequisite: Mathematics 263 Staff
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3.00 Credits
An introductory course in linear algebra emphasizing applications to fields such as economics, natural sciences, computer science, statistics, and engineering. The course covers solutions of systems of equations, matrix algebra, vector spaces, linear transformations, determinants, eigenvalues and eigenvectors. Not open to students who have credit for Mathematics 300. Corequisite: Mathematics 263 or permission of instructor Staff
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3.00 Credits
A course that introduces students to the fundamentals of mathematical modeling through the formulation, analysis, and testing of mathematical models in a variety of areas. Modeling techniques covered include proportionality, curve fitting, elementary linear programming, and simulation. Prerequisite: Mathematics 162 or 166 Offered: Spring semester Staff
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3.00 Credits
An introduction to the concepts and techniques that permeate advanced mathematics. Topics include set theory, propositional logic, proof techniques, relations, and functions. Special emphasis on developing students' facility for reading and writing mathematical proofs. Examples and additional topics are included from various branches of mathematics, at the discretion of the instructor. Corequisite: Mathematics 263 or permission of instructor Staff
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3.00 Credits
A first course in theoretical linear algebra, emphasizing the reading and writing of proofs. Topics include systems of linear equations, matrix algebra, vector spaces and linear transformations, eigenvectors and diagonalization, inner product spaces, and the Spectral Theorem. Not open to students with credit for Mathematics 272. Prerequisite: Mathematics 290 or permission of instructor Offered: Spring semester Staff
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