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Course Criteria
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3.00 Credits
Data collection and experimental design, descriptive statistics, confidence intervals, parametric and nonparametric one and two-sample hypothesis tests, analysis of variance, correlation, simple and multiple linear regression, chi-square tests. Not open to students with credit in MATH 3332 or MATH 3440. This course may not be used as part of the mathematics courses required of mathematics majors. Prerequisites: Appropriate score on placement exam or permission of department chair. Spring.
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3.00 Credits
A modern approach to the mathematics commonly taught to young children. Theoretic bases for computation and measurement are established. The geometric properties of shapes and solids are explored both visually and through computations. The basics of theoretical and empirical probability are developed using models and manipulatives. Additional topics such as problem solving algorithms, elementary logic and statistics are introduced. Prerequisites: Successful completion of a University core mathematics course.
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3.00 Credits
Written and oral analysis and presentations by students on topics from mathematics. Student research projects. Prerequisites: MATH 2431 and MATH 2340 or permission of department chair. Fall, Spring.
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3.00 Credits
Junior division treatment of selected topics of mutual interest to the faculty member and students. Prerequisite: permission of departmental chair.
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3.00 Credits
Algebra and calculus of vectors, vector differential operators, Green s and Stokes theorems, curvilinear coordinates, tensors. Maxwell s Equations. Prerequisite: MATH 2340 or permission of departmental chair. Spring.
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3.00 Credits
Polynomial calculus for optimization and marginal analysis and elementary integration. Not open to students with credit in MATH 1431. Prerequisites: Passing score on Mathematics Placement Exam, Math 1353 or equivalent or permission of departmental chair. Spring.
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3.00 Credits
Basic concepts of statistics with emphasis on statistical inference. Sampling and experimentation, descriptive statistics, confidence intervals, probability, two-sample hypothesis tests for means and proportions, Chi-squared tests, linear and multiple regressions, analysis of variance. Not open to students with credit in MATH 2434 or 3340. This course may not be used as part of the upper-division mathematics courses required of mathematics majors. Prerequisite: Math 1353, passing score on an appropriate mathematics place ment exam or permission of departmental chair. Fall, Spring.
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3.00 Credits
Electrical circuit laws and theorems, natural and forced response to DC and AC excitation, transfer functions, systems analysis, transformers, electromechanics, power generation and distribution. Prerequisites: PHYS 2334 and MATH 2343. Fall.
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3.00 Credits
Matrices, inverses, linear systems, determinants, eigenvalues, eigenvectors, vector spaces, linear transformations, inner product spaces, Fourier series and orthogonal bases. Prerequisite: MATH 2431 or permission of departmental chair. Fall, Spring.
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3.00 Credits
An elementary introduction to the mathematical theory of probability for students of mathematics, engineering and the sciences (including the social sciences and management science). Topics include combinatorial analysis, axioms of probability, conditional probability and independence, and random variables. Prerequisite: MATH 1432. Spring.
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