**Courses**

**Algebra Readiness**

These courses are designed to support and promote student success in mathematics coursework necessary to fulfill graduation requirements. While strengthening prerequisite skills in the areas of operations with whole numbers, fractions, decimals, percentages, integers, and rational numbers, students will solidify algebraic concepts through modeling and the use of manipulatives, graphing calculators, and computer software where appropriate. A concentration on improving problem solving test communications in mathematics coupled with an emphasis on standardized test preparation with build mathematical confidence

**Algebra I**

The standard Algebra 1 course incorporates all of the foundation skills that are necessary for students to pursue college preparatory mathematics in high school. The properties of and operations on numbers are extended to include the development of the real number system. Sets, equations, inequalities, exponents, polynomials, functions, graphing, systems of equations, and quadratics are the major topics of study. Additionally, the ability to make comparisons of one-variable data sets using statistical techniques including measures of central tendency, range, and box-and-whisker graphs is an expectation for all students in Algebra 1. Graphing calculators will be utilized to enhance the understanding of functions and provide a powerful tool for solving and verifying solutions to equations and inequalities. Other existing and emerging technologies are used as tools to facilitate the problem solving process, data analysis techniques, and graphing.

**Geometry**

Geometry is a unified study of plane, solid, and coordinate geometric concepts which provides students with the prerequisite skills that will facilitate the study of advanced mathematics. Investigations of lines, planes, congruencies, similarities, geometric inequalities, parallelism, perpendicularity, polygons, areas, volumes, circles, and three dimensional figures are incorporated to provide a complete course of study. Formal and informal deductive reasoning skills are developed and applied to the construction of formal proof. Opportunities are provided for discovery learning through hands-on activities and experiences that allow for utilizing computer software to explore major concepts and develop problem solving skills. Also taught at the Honors level. Pre-requisites: Algebra 1

**Algebra, Functions and Data Analysis**

Through the investigation of mathematical models, students will strengthen conceptual understandings in mathematics and develop connections between statistics and algebra. This course introduces new material through problems that lead to rigorous investigation of advanced algebra and statistics. Topics include exponential and logarithmic functions, linear programming, conditional probability, probability density functions and z-scores

**Algebra II**

Algebra 2 extends the concepts that students have encountered in previous coursework and provides a thorough treatment of advanced algebraic concepts. Emphasis will be placed on practical applications, logic of procedures, and interpretation of results. Graphing calculators and computers will enhance the students' understanding. Students will be expected to communicate and practice mathematical ideas appropriately. Also taught at the Honors level. Pre-requisites: Algebra 1 or Geometry

**Probability and Statistics/Discrete Math**

Elementary probability and statistics are studied with an emphasis on collecting data and interpreting data through numerical methods. Specific topics include the binomial and normal distributions, probability, linear correlation and regression, and other statistical methods. Students are expected to understand the design of statistical experiments. They are encouraged to study a problem, design and conduct an experiment or survey, and interpret and communicate the outcomes.

Discrete Math

**is the study of math properties of sets and systems that have a countable (discrete) number of elements. With the advent of modern technology, discrete (discontinuous) models have become as important as continuous models. This course includes graph theory, linear programming, matrix modeling, and social decision making.**