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MATH 275: Statistics
3.00 Credits
Northeastern Illinois University
Process of classifying and drawing conclusions from data obtained from observation, experiment, or sampling. Decision-making under uncertainty with emphasis on the behavioral fields. Study of frequency distributions and their use in the decision-making process. Usage of computer software is required.
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MATH 280: Geometry:Concepts For Middle School Teaching
4.00 Credits
Northeastern Illinois University
This course focuses on the concepts of plane and slod geometry and trigonometry. It is designed to meet the needs of a middle school teacher in accordance with the National Council of Teachers of Mathematics Standards and the Illinois State Board of Education's Mathematics Standards. The topics include basic definitions and properties of plane and solid figures, congruence, similarity, constructions, measurements, transformations, Pythagorean Theorem, right angle trigonometry and the unit circle. Problem solving using a calculator and computer programs is emphasized throughout. Writing assignments as appropriate are also part of the course. This course is linked with PHYS-108.
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MATH 280 - Geometry:Concepts For Middle School Teaching
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MATH 281: Number Concepts For Middle School Teaching
4.00 Credits
Northeastern Illinois University
This course has benn designed keeping in mind both the Illinois Content Standards for Educators in Mathematics and the National Council of Teachers of Mathematics Standards and the content and pedagogy necessary to prepare teachers to be elementary and middle school teachers of math and science. A wide range of topics across number theory and measurement will give the students a grasp of the depth and breadth of mathematics outside the traditional course structures. Problem solving, estimation, measurements and construction of simple theories of numbers will be treated with and without the use of technology. Writing assignments will supplant the assignments typically found in a mathematics course. This course is linked with CHEM-108.
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MATH 301: Ordinary Differential Equations I
3.00 Credits
Northeastern Illinois University
An introduction to Ordinary Differential Equations and applications. General first order and second order linear equations and numerical methods.
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MATH 301 - Ordinary Differential Equations I
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MATH 302: Ordinary Differential Equations II
3.00 Credits
Northeastern Illinois University
Linear and nonlinear systems, matrix methods and applications to problems in the sciences. Existence and stability theory. Boundary value problems and Fourier series.
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MATH 302 - Ordinary Differential Equations II
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MATH 303: Partial Differential Equations
3.00 Credits
Northeastern Illinois University
Introduction to partial differential equations and methods of finding solutions.
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MATH 303 - Partial Differential Equations
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MATH 304: Introduction To Numerical Analysis
3.00 Credits
Northeastern Illinois University
Solutions of equations of one variable, interpolation and polynomial approximation, numerical integration and methods of solutions of linear systems.
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MATH 304 - Introduction To Numerical Analysis
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MATH 305: Probability And Statistics
3.00 Credits
Northeastern Illinois University
Fundamentals and axioms; probability spaces; combinatorial probability; conditional probability; random variables; binomial, Poisson, uniform, normal, chi-square, Student's t-distribution; central limit theorem; Statistical Data Analysis: descriptive statistics, point and interval estimation, elements of hypothesis testing, small vs. large samples.
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MATH 306: Linear Programming And Extensions
3.00 Credits
Northeastern Illinois University
Linear programming models; geometric and algebraic foundations of the simplex algortihm; duality theory; the revised and dual algorithms; sensivity analysis; integer programming.
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MATH 306 - Linear Programming And Extensions
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MATH 307: Probability Models For Operations Research
3.00 Credits
Northeastern Illinois University
Basic mathematical aspects of probability models with emphasis on problem solving. Topics include Markov processes, Markov Chaings and Queuing Theory.
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MATH 307 - Probability Models For Operations Research
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