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MATH 214: Calculus III
3.00 Credits
Eastern University
This third semester calculus course introduces the concepts of three-dimensional space and calculus of several variables, including partial differentiation and multiple integrals.
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MATH 214 - Calculus III
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MATH 221: Statistics for Data Analysis
3.00 Credits
Eastern University
Introduction to statistics with an emphasis on theory and application. Includes probability; sampling; t-test, analysis of variance; chi square; correlation; regression; effect size. Intended as an introduction for students meeting additional statistics, data science, or data analysis coursework. This course does not count toward the major or minor in mathematics.
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MATH 221 - Statistics for Data Analysis
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MATH 230: Special Topics
1.00 Credits
Eastern University
Special Topics
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MATH 230 - Special Topics
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MATH 240: Discrete Mathematics
3.00 Credits
Eastern University
This course develops basic symbolic logic and proof techniques, and introduces students to discrete structures including sets, relations, functions, matrices and graphs. Also includes an introduction to combinatorics and other mathematical topics related to the study of computer science.
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MATH 240 - Discrete Mathematics
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MATH 244: Linear Algebra
3.00 Credits
Eastern University
An introductory course in linear algebra. Topics include linear equations, matrices, determinants, eigenvalues, linear transformations and vector spaces.
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MATH 244 - Linear Algebra
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MATH 300: Differential Equations
3.00 Credits
Eastern University
A study of first-order and linear differential equations, linear systems and Laplace transforms.
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MATH 300 - Differential Equations
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MATH 310: Number Theory
3.00 Credits
Eastern University
An introduction to elementary number theory and its applications, particularly in the field of cryptography.
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MATH 310 - Number Theory
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MATH 314: Math Statistics
3.00 Credits
Eastern University
Math Statistics
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MATH 314 - Math Statistics
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MATH 315: Probability
3.00 Credits
Eastern University
This course is a rigorous introduction to the field of probability. It will cover the mathematical theory of probability, and applications of the theory to a variety of real-world problems.
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MATH 315 - Probability
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MATH 316: Mathematical Statistics
3.00 Credits
Eastern University
A calculus - based introduction to mathematical statistics and the statistical programming language R. A study of the mathematical foundations of statistical methods, and the application of these methods using the programming language R. Covers data analysis using R, random variables and distributions, estimation, hypothesis testing, linear regression. Prerequisite: MATH 315
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MATH 316 - Mathematical Statistics
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