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Planning, delivering, and assessing content-specific instruction; academic and common core standards; identifying specific standards that require literacy strategies.
Concurrent enrollment in EHD B. Seminar to accompany final student teaching that provides opportunities for candidates to investigate and discuss variety of topics and strategies and to reflect on issues that surface during their student teaching experience.
Supervised teaching in single subject classroom; assignment is for the full day; five days per week. Review of topics in algebra and geometry: Radicals, rational exponents, quadratic equations, simultaneous linear equations, graphing, inequalities, and complex numbers.
Mathematics placement category I or II. Equations and inequalities; rectangular coordinates; systems of equations and inequalities; polynomial, rational, exponential, and logarithmic functions and their graphs; complex numbers.
Concept of a function, sine and cosine functions, tables and graphs, other trigonometric functions, identities and equations. Trigonometric functions of angles, solution of triangles.
See Duplication of Courses. Basic algebraic properties of real numbers; linear and quadratic equations and inequalities; functions and graphs; polynomials; exponential and logarithmic functions; analytic trigonometry and functions.
Structure and Concepts in Mathematics I Prerequisite: Designed for prospective elementary school teachers. Development of real numbers including integers, rational and irrational numbers, computation, prime numbers and factorizations, and problem-solving strategies.
Fall, Spring GE Area: Counting methods, elementary probability and statistics. Topics in geometry to include polygons, congruence and similarity, measurement, geometric transformations, coordinate geometry, and connections between numbers and geometry with selected applications.
Illustration of statistical concepts: Covers topics from the following areas: Mathematics placement category I or II and calculus placement according to department standards.
Functions and graphs, limits, derivatives, antiderivatives, differential equations, and partial derivatives with applications in Life Sciences. Mathematics placement category I or II, and calculus placement according to department standards.
Functions, graphs, limits, continuity, derivatives and applications, definite and indefinite integrals. Calculus with Review IA Prerequisites: Functions, graphs, limits, continuity, derivatives, and applications, with extensive review of algebra and elementary functions.
Calculus with Review IB Prerequisite: Further applications of derivatives, and definite and indefinite integrals, with extensive review of algebra and elementary functions. Techniques and applications of integration, improper integrals, conic sections, polar coordinates, infinite series.
Vectors, three-dimensional calculus, partial derivatives, multiple integrals, Green's Theorem, Stokes' Theorem. Introduction to ordinary linear differential equations and linear systems of differential equations; solutions by Laplace transforms. Solution of linear systems of equations; introduction to vector spaces; eigenvalues and eigenvectors.
Using computer software as an exploratory tool. Directed Study Independently arranged course of study in some limited area of mathematics either to remove a deficiency or to investigate a topic in more depth.
The development of mathematical reasoning, problem solving, and communication skills for effective teaching of mathematics in elementary school. Application of statistical procedures to examples from biology, engineering, and social science; one- and two-sample normal theory methods; chi-square, analysis of variance, and regression; nonparametric methods.
Computerized statistical packages are used. Statistical Programming and Data Analysis Prerequisite: Introduction to SAS and R through programming and data analysis.
Applied Linear Statistical Models Prerequisites: Topics include simple linear regression, parameter inference, interval estimation, prediction, diagnostics and remedial measures, multiple linear regression, model selection and validation, generalized linear models, ridge regression, LASSO.An essay has been defined in a variety of ways.
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