Engage NY Curriculum Modules
AII.1.A: Polynomials—From Base Ten to Base X
Dividing Polynomials Using Synthetic Division
Modeling the Factorization of x2+bx+c
Polynomials and Linear Factors
AII.1.B: Factoring—Its Use and Its Obstacles
Dividing Polynomials Using Synthetic Division
Factoring Special Products
AII.1.C: Solving and Applying Equations—Polynomial, Rational, and Radical
Operations with Radical Expressions
Radical Functions
AII.2.A: The Story of Trigonometry and Its Contexts
Circles
Simplifying Trigonometric Expressions
Sine, Cosine, and Tangent Ratios
Sum and Difference Identities for Sine and Cosine
AII.2.B: Understanding Trigonometric Functions and Putting them to Use
Simplifying Trigonometric Expressions
Sine, Cosine, and Tangent Ratios
Sum and Difference Identities for Sine and Cosine
AII.3.A: Real Numbers
Dividing Exponential Expressions
Exponents and Power Rules
Introduction to Exponential Functions
Multiplying Exponential Expressions
Simple and Compound Interest
Unit Conversions
Unit Conversions 2 - Scientific Notation and Significant Digits
AII.3.B: Logarithms
AII.3.C: Exponential and Logarithmic Functions and their Graphs
Addition and Subtraction of Functions
Dividing Exponential Expressions
Exponential Functions
Exponents and Power Rules
Linear Functions
Multiplying Exponential Expressions
AII.3.D: Using Logarithms in Modeling Situations
Absolute Value with Linear Functions
Cat and Mouse (Modeling with Linear Systems)
Exponential Functions
Geometric Sequences
Introduction to Exponential Functions
Point-Slope Form of a Line
Rational Functions
Simple and Compound Interest
Solving Equations by Graphing Each Side
Solving Linear Systems (Matrices and Special Solutions)
Solving Linear Systems (Slope-Intercept Form)
Standard Form of a Line
Translations
AII.4.A: Probability
Binomial Probabilities
Estimating Population Size
Geometric Probability
Independent and Dependent Events
Probability Simulations
Theoretical and Experimental Probability
AII.4.B: Modeling Data Distributions
Box-and-Whisker Plots
Describing Data Using Statistics
Estimating Population Size
Least-Squares Best Fit Lines
Mean, Median, and Mode
Polling: City
Populations and Samples
Probability Simulations
Reaction Time 1 (Graphs and Statistics)
Real-Time Histogram
Sight vs. Sound Reactions
Solving Using Trend Lines
Stem-and-Leaf Plots
Theoretical and Experimental Probability
Trends in Scatter Plots
AII.4.C: Drawing Conclusions Using Data from a Sample
Correlation
Polling: City
Polling: Neighborhood
Populations and Samples
Reaction Time 1 (Graphs and Statistics)
AII.4.D: Drawing Conclusions Using Data from an Experiment
Describing Data Using Statistics
Geometric Probability
Independent and Dependent Events
Mean, Median, and Mode
Polling: City
Polling: Neighborhood
Populations and Samples
Probability Simulations
Real-Time Histogram
Sight vs. Sound Reactions
Stem-and-Leaf Plots
Theoretical and Experimental Probability
Correlation last revised: 8/17/2016