Algebra 2

Duration

10 Months

Prerequisites

None

Requirements

None

Course Summary

Algebra 2 strengthens your math skills by focusing on various functions, including polynomial, exponential, and logarithmic. You'll model relationships, solve real-world problems, and study sequences, trigonometry, and statistics, with an emphasis on transformations and data analysis.

MAJOR TOPICS AND CONCEPTS

Course Goals

  • Rewrite polynomial expressions to prove identities and theorems.
  • Apply properties of complex numbers to quadratic solutions and polynomial identities.
  • Solve polynomial, radical, and rational equations by using graphs, tables, and algebraic techniques.
  • Analyze polynomial functions, apply the remainder theorem, and identify zeros and factorizations in real and complex forms.
  • Interpret the key features of polynomial, radical, and rational functions using multiple representations.
  • Create and transform graphs of polynomial, radical, and rational functions.
  • Find and verify inverse functions.
  • Model relationships and data with functions and use the models to make predictions and interpret results.
  • Understand the inverse relationship between exponential and logarithmic functions and apply this relationship to rewrite and interpret expressions and equations.
  • Solve exponential and logarithmic equations by using graphs, tables, and algebraic techniques.
  • Interpret the key features of exponential and logarithmic functions using multiple representations.
  • Create and transform graphs of exponential and logarithmic functions.
  • Combine and compare functions in multiple representations.
  • Create and solve systems of equations and inequalities using graphic and algebraic techniques.
  • Connect the ideas of radian measure and arc length to the trigonometric origins of the unit circle while also proving and applying the Pythagorean identity.
  • Create and transform graphs of trigonometric functions.
  • Interpret the key features of trigonometric functions and apply those features to model periodic, real-world phenomena.
  • Compare statistical models with experimental and observational data.
  • Construct and analyze fair decisions and strategies based on probability concepts and methods.
  • Fit data to a normal distribution and estimate population percentages and area using the normal distribution curve.
  • Evaluate reports based on real-world data for accuracy, bias, and validity.
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