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Course Criteria
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0.00 - 3.00 Credits
A calculus based introduction to probability and statistics. Emphasis will be on development of statistical thinking and working with data. Topics include probability theory, descriptive statistics, common distributions, and statistical inference. A statistical software package will be used extensively in the course. Prerequisite: Math 2413. Fall.
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3.00 Credits
This course introduces the linear programming and optimization problems arising in many applications. Contents include linear programming models with solutions, the simplex method, duality theory and its use for management decision making, dual simplex method and sensitivity analysis. Prerequisite: Math 3311 and Math 2413. Fall.
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0.00 - 3.00 Credits
This course introduces the linear programming and optimization problems arising in many applications. Contents include linear programming models with solutions, the simplex method, duality theory and its use for management decision making, dual simplex method and sensitivity analysis. Prerequisite: Math 3311 and Math 2413. Fall.
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1.00 - 3.00 Credits
A problem solving course for students who want to participate in math problem solving competitions, train for the actuarial or other professional examinations, work on research aimed at conference presentations, or perform research projects at the junior level that are not at the level of directed independent study material.
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0.00 - 3.00 Credits
A problem solving course for students who want to participate in math problem solving competitions, train for the actuarial or other professional examinations, work on research aimed at conference presentations, or perform research projects at the junior level that are not at the level of directed independent study material. Prerequisites: A grade of C or better in MATH 2414 and permission of the Department Chair. May not be substituted for regularly scheduled offerings.
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3.00 Credits
Characteristics of geographic/spatial information; overview of relevant sections of numbers, algebra and geometry, plane and spherical trigonometry, matrices, determinants and vectors, curves and surfaces, integral and differential calculus, partial derivatives, with an emphasis on geospatial applications. Concepts of geospatial coordinate systems and geospatial coordinate transformations; overview of spatial statistics and best-fit solutions with geospatial applications. Students may not receive credit for both MATH 3400 and GISC 3400. Prerequisite: MATH 2413 and MATH 2414.
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4.00 Credits
Parametric equations, vectors, functions of two and three variables. Contains a laboratory component. Prerequisite: MATH 2414. Fall, Spring.
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2.00 - 3.00 Credits
Parametric equations, vectors, functions of two and three variables. Contains a one-hour laboratory component. Prerequisite: MATH 2414. Fall.
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3.00 Credits
An advanced treatment of the foundations of calculus stressing rigorous proofs of theorems. Topics include: elements of propositional and predicate logic, topology of the real numbers, sequences, limits, the derivative, and the Riemann integral.
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0.00 - 3.00 Credits
INTRODUCTION TO ANALYSIS An advanced treatment of the foundations of calculus stressing rigorous proofs of theorems. Topics include: elements of propositional and predicate logic, topology of the real numbers, sequences, limits, the derivative, and the Riemann integral. Prerequisites: MATH 3470 and MATH 3313. Fall.
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