HONORS COMMON CORE ALGEBRA 2

2017-2018 Course Syllabus

Honors Common Core Algebra 2

Course Description

In alignment with the Common Core State Standards (CCSS), students will work through the Big Ideas and College Preparatory Mathematics (CPM) curriculum titled Algebra 2. Students will work through units of study comprised of problem-based lessons, collaborative student work, homework quizzes, student presentations, team tests, individual tests, checkpoint quizzes and homework assignments. All homework assignments will contain a review and preview of skills that students see throughout the course. Key concepts addressed in this course are:

• Visualize, express, interpret and describe, and graph functions (and their inverses, in many cases). Given a graph, students will be able to represent the function with an equation, and vice-versa, and transform the graph, including the following function families: absolute value, exponential, linear, logarithmic, piecewise-defined, polynomial, quadratic, square root, trigonometric
• Use of variables and functions to represent relationships given in tables, graphs, situations, and geometric diagrams, and recognize the connections among these multiple representations.
• Application of multiple algebraic representations to model and solve problems presented as real world situations or simulations.
• Solving linear or quadratic equations in one variable, systems of equations in two variables, and linear systems of equations in three or more variables, including solving with graphical methods.
• Use of algebra to rewrite complicated algebraic expressions and equations in more useful forms.
• Rewriting rational expressions and arithmetic operations on polynomials
• The relationship between zeros and factors of polynomials.
• Operations with complex numbers, and solving quadratic equations with complex solutions.
• Modeling periodic phenomena with trigonometric functions.
• Solving trigonometric equations and proving trigonometric identities.
• Calculating the sums of arithmetic and geometric series, including infinite geometric series.
• Concepts of randomness and bias in survey design and interpretation of the results.
• Use of a normal distribution to model outcomes and to make inferences as appropriate.
• Use of computers to simulate and determine complex probabilities.
• Use of margin of error and sample-to-sample variability to evaluate statistical decisions

Grading Policy