## WGU Master of Arts in Mathematics Education (K-6, 5-9 or 5-12)

The Master of Arts in Mathematics Education is a competency-based degree program that prepares already licensed teachers both to be licensed to teach mathematics in designated grades and to develop significant skills in mathematics curriculum development, design, and evaluation. All work in this degree program is online and all students complete a culminating Teacher Work Sample.

### Elementary Mathematics Content

**Number Sense and Functions**

Number Sense and Functions is a performance-based assessment that evaluates a student's portfolio of work. This
portfolio includes the student's responses to various prompts and an original lesson plan for each of the mathematics
modules such as number sense, patterns and functions, integers and order of operations, fractions, decimals, and
percentages.

**Graphing, Proportional Reasoning and Equations/Inequalities**

Graphing, Proportional Reasoning and Equations/Inequalities is a performance-based assessment that evaluates a
student's portfolio of work. This portfolio includes the student's responses to various prompts and an original lesson plan
for each of the mathematics modules such as coordinate pairs and graphing, ratios and proportional reasoning, and
equations and inequalities.

**Geometry and Statistics**

Geometry and Statistics is a performance-based assessment that evaluates a student's portfolio of work. This portfolio
includes the student's responses to various prompts and an original lesson plan for each of the mathematics modules such
as geometry and measurement, statistics and probability.

**Mathematics (K-6) Portfolio Oral Defense**

Mathematics (K-6) Portfolio Oral Defense: Mathematics (K-6) Portfolio Defense focuses on a formal presentation. The
student will present an overview of their teacher work sample (TWS) portfolio discussing the challenges they faced and how
they determined whether their goals were accomplished. They will explain the process they went through to develop the
TWS portfolio and reflect on the methodologies and outcomes of the strategies discussed in the TWS portfolio.
Additionally, they will discuss the strengths and weaknesses of those strategies and how they can apply what they learned
from the TWS portfolio in their professional work environment.

**Finite Mathematics**

Finite Mathematics covers the knowledge and skills necessary to apply discrete mathematics and properties of number
systems to model and solve real-life problems. Topics include sets and operations; prime and composite numbers; GCD
and LCM; order of operations; ordering numbers; mathematical systems including modular arithmetic, arithmetic and
geometric sequences, ratio and proportion, subsets of real numbers, logic and truth tables, graphs, trees and networks,
and permutation and combination. There are no prerequisites for this course.

### Middle School Mathematics Content

**Finite Mathematics**

Finite Mathematics covers the knowledge and skills necessary to apply discrete mathematics and properties of number
systems to model and solve real-life problems. Topics include sets and operations; prime and composite numbers; GCD
and LCM; order of operations; ordering numbers; mathematical systems including modular arithmetic, arithmetic and
geometric sequences, ratio and proportion, subsets of real numbers, logic and truth tables, graphs, trees and networks,
and permutation and combination. There are no prerequisites for this course./p>

**Pre-calculus**

Pre-Calculus covers the knowledge and skills necessary to apply trigonometry, complex numbers, systems of equations,
vectors and matrices, sequence and series, and to use appropriate technology to model and solve real-life problems.
Topics include degrees; radians and arcs; reference angles and right triangle trigonometry; applying, graphing and
transforming trigonometric functions and their inverses; solving trigonometric equations; using and proving trigonometric
identities; geometric, rectangular, and polar approaches to complex numbers; DeMoivre's Theorem; systems of linear
equations and matrix-vector equations; systems of nonlinear equations; systems of inequalities; and arithmetic and
geometric sequences and series. College Algebra is a prerequisite for this course.

**Probability and Statistics I**

Probability and Statistics I covers the knowledge and skills necessary to apply basic probability, descriptive statistics, and
statistical reasoning, and to use appropriate technology to model and solve real-life problems. It provides an introduction
to the science of collecting, processing, analyzing, and interpreting data. Topics include creating and interpreting
numerical summaries and visual displays of data; regression lines and correlation; evaluating sampling methods and their
effect on possible conclusions; designing observational studies, controlled experiments, and surveys; and determining
probabilities using simulations, diagrams, and probability rules. College Algebra is a prerequisite for this course.

**College Geometry**

College Geometry covers the knowledge and skills necessary to apply geometry to model and solve real-life problems, to
do formal axiomatic proofs in geometry, and to use dynamic technology to explore geometry. Topics include axiomatic
systems and analytic proof; non-Euclidean geometries; construction, analytic, and synthetic methods for investigating and
proving properties and relationships of two- and three-dimensional objects; geometric transformations, tessellations, and
using inductive reasoning; concrete models; and dynamic technology to conduct geometric investigations. College
Algebra and Pre-Calculus are prerequisites for this course.

**Calculus I**

Calculus I is the study of rates of change in relation to the slope of a curve and covers the knowledge and skills necessary
to use differential calculus of one variable and appropriate technology to solve basic problems. Topics include graphing
functions and finding their domains and ranges; limits, continuity, differentiability, visual, analytical, and conceptual
approaches to the definition of the derivative; the power, chain, and sum rules applied to polynomial and exponential
functions, position and velocity; and L'Hopital's Rule. Candidates should have completed a course in Pre-Calculus before
engaging in this course.

**Middle Schools Mathematics: Content Knowledge**

This course is designed to help you refine and integrate the mathematics content knowledge and skills necessary to become a successful middle school mathematics teacher. Successful completion of the course requires a high-level of mathematical reasoning skills and the ability to solve problems.

### High School Mathematics Content

**Pre-Calculus**

Pre-Calculus covers the knowledge and skills necessary to apply trigonometry, complex numbers, systems of equations,
vectors and matrices, sequence and series, and to use appropriate technology to model and solve real-life problems.
Topics include degrees; radians and arcs; reference angles and right triangle trigonometry; applying, graphing and
transforming trigonometric functions and their inverses; solving trigonometric equations; using and proving trigonometric
identities; geometric, rectangular, and polar approaches to complex numbers; DeMoivre's Theorem; systems of linear
equations and matrix-vector equations; systems of nonlinear equations; systems of inequalities; and arithmetic and
geometric sequences and series. College Algebra is a prerequisite for this course.

**College Geometry**

College Geometry covers the knowledge and skills necessary to apply geometry to model and solve real-life problems, to
do formal axiomatic proofs in geometry, and to use dynamic technology to explore geometry. Topics include axiomatic
systems and analytic proof; non-Euclidean geometries; construction, analytic, and synthetic methods for investigating and
proving properties and relationships of two- and three-dimensional objects; geometric transformations, tessellations, and
using inductive reasoning; concrete models; and dynamic technology to conduct geometric investigations. College
Algebra and Pre-Calculus are prerequisites for this course.

**Calculus I**

Calculus I is the study of rates of change in relation to the slope of a curve and covers the knowledge and skills necessary
to apply differential calculus of one variable and to use appropriate technology to model and solve real-life problems.
Topics include functions, limits, continuity, differentiability, visual, analytical, and conceptual approaches to the definition
of the derivative, the power, chain, sum, product, and quotient rules applied to polynomial, trigonometric, exponential,
and logarithmic functions, implicit differentiation, position, velocity, and acceleration, optimization, related rates, curve
sketching, and L'Hopital's Rule. Pre-Calculus is a pre-requisite for this course.

**Calculus II**

Calculus II is the study of the accumulation of change in relation to the area under a curve. It covers the knowledge and
skills necessary to apply integral calculus of one variable and to use appropriate technology to model and solve real-life
problems. Topics include antiderivatives; indefinite integrals; the substitution rule; Riemann sums; the Fundamental
Theorem of Calculus; definite integrals; acceleration, velocity, position, and initial values; integration by parts; integration
by trigonometric substitution; integration by partial fractions; numerical integration; improper integration; area between
curves; volumes and surface areas of revolution; arc length; work; center of mass; separable differential equations; direction
fields; growth and decay problems; and sequences. Calculus I is a prerequisite for this course.

**Probability and Statistics I**

Probability and Statistics I covers the knowledge and skills necessary to apply basic probability, descriptive statistics, and
statistical reasoning, and to use appropriate technology to model and solve real-life problems. It provides an introduction
to the science of collecting, processing, analyzing, and interpreting data. Topics include creating and interpreting
numerical summaries and visual displays of data; regression lines and correlation; evaluating sampling methods and their
effect on possible conclusions; designing observational studies, controlled experiments, and surveys; and determining
probabilities using simulations, diagrams, and probability rules. College Algebra is a prerequisite for this course.

**Probability and Statistics II**

Probability and Statistics II covers the knowledge and skills necessary to apply random variables, sampling distributions,
estimation, and hypothesis testing, and to use appropriate technology to model and solve real-life problems. It provides
tools for the science of analyzing and interpreting data. Topics include discrete and continuous random variables, expected
values, the Central Limit Theorem, the identification of unusual samples, population parameters, point estimates,
confidence intervals, influences on accuracy and precision, hypothesis testing and statistical tests (z mean, z proportion,
one sample t, paired t, independent t, ANOVA, chi-squared, and significance of correlation). Probability and Statistics I is a
prerequisite for this course.

**Mathematics: Content Knowledge**

Mathematics: Content Knowledge is designed to help students refine and integrate the mathematics content knowledge
and skills necessary to become a successful secondary mathematics teacher. A high level of mathematical reasoning skills
and the ability to solve problems are necessary to complete this course. Prerequisites for this course are College
Geometry, Probability and Statistics I, and Pre-Calculus.

**Calculus III and Analysis**

Calculus III is the study of calculus conducted in three-or-higher-dimensional space. It covers the knowledge and skills
necessary to apply calculus of multiple variables and to use appropriate technology to model and solve real-life problems.
Topics include infinite series and convergence tests (integral, comparison, ratio, root, and alternating); power series; Taylor
polynomials; vectors, lines and planes in three dimensions; dot and cross products; multivariable functions, limits, and
continuity; partial derivatives; directional derivatives; gradients; tangent planes; normal lines; and extreme values. Calculus
II is a prerequisite for this course.

**Linear Algebra**

Linear Algebra is the study of the algebra of curve-free functions extended into three-or-higher-dimensional space. It
covers the knowledge and skills necessary to apply vectors, matrices, matrix theorems, and linear transformations and to
use appropriate technology to model and solve real-life problems. It also covers properties of and proofs about vector
spaces. Topics include linear equations and their matrix-vector representation Ax=b, row reduction, linear transformations
and their matrix representations (shear, dilation, rotation, reflection), matrix operations, matrix inverses and invertible
matrix characterizations, computing determinants, relating determinants to area and volume, and axiomatic and intuitive
definitions of vector spaces and subspaces and how to prove theorems about them. College Geometry and Calculus III are
prerequisites for this course.

**Abstract Algebra**

Abstract Algebra is the axiomatic and rigorous study of the underlying structure of algebra and arithmetic. It covers the
knowledge and skills necessary to understand, apply, and prove theorems about numbers, groups, rings, and fields. Topics
include the well-ordering principle, equivalence classes, the division algorithm, Euclid's algorithm, prime factorization,
greatest common divisor, least common multiple, congruence, the Chinese remainder theorem, modular arithmetic, rings,
integral domains, fields, groups, roots of unity, and homomorphisms. Linear Algebra is a prerequisite for this course.

### Mathematics Education

**Mathematics Learning and Teaching**

Mathematics Learning and Teaching will help you develop the knowledge and skills necessary to become a prospective
and practicing educator. You will be able to use a variety of instructional strategies to effectively facilitate the learning of
mathematics. This course focuses on selecting appropriate resources, using multiple strategies, and instructional planning,
with methods based on research and problem solving. A deep understanding of the knowledge, skills, and disposition of
mathematics pedagogy is necessary to become an effective secondary mathematics educator. There are no prerequisites
for this course.

**Mathematics History and Technology**

Mathematics History and Technology introduces a variety of technological tools for doing mathematics, and you will
develop a broad understanding of the historical development of mathematics. You will come to understand that
mathematics is a very human subject that comes from the macro-level sweep of cultural and societal change, as well as the
micro-level actions of individuals with personal, professional, and philosophical motivations. Most importantly, you will
learn to evaluate and apply technological tools and historical information to create an enriching student-centered
mathematical learning environment. There are no prerequisites for this course.

### Research Fundamentals

**Research Foundations**

The Research Foundations course focuses on the essential concepts in educational research, including quantitative,
qualitative, mixed, and action research; measurement and assessment; and strategies for obtaining warranted research
results.

**Research Questions and Literature Review**

The Research Questions and Literature Reviews for Educational Research course focuses on how to conduct a thorough literature review that addresses and identifies important educational research topics, problems, and questions, and helps determine the appropriate kind of research and data needed to answer one's research questions and hypotheses.

**Research Design and Analysis**

The Research Design and Analysis course focuses on applying strategies for effective design of empirical research studies. Particular emphasis is placed on selecting or constructing the design that will provide the most valid results, analyzing the kind of data that would be obtained, and making defensible interpretations and drawing appropriate conclusions based on the data.