Advanced High School Courses
Table of Contents

Precalculus Third Edition

Chapter 1: Preparing for Your Journey

Section 1.1

1.1.1 Interpreting Graphs 

1.1.2 The Spring Problem 

1.1.3 Modeling with Functions 

1.1.4 Rates of Change 

1.1.5 Setting Up Word Problems 

1.1.6 Equivalent Expressions 

Section 1.2

1.2.1 Composition of Functions 

1.2.2 Inverse Functions 

1.2.3 Piecewise-Defined Functions and Continuity 

Section 1.3

1.3.1 Radians as a Unit of Measure 

1.3.2 Radian Measure in the Unit Circle 

1.3.3 Applications of Radian Measure 

Closure

Chapter 2: Functions and Trigonometry

Section 2.1

2.1.1 Characteristics of Functions 

2.1.2 Even and Odd Functions 

2.1.3 Transformations of Functions 

Section 2.2

2.2.1 Special Angles in the Unit Circle 

2.2.2 Trigonometric Ratios in the Unit Circle 

2.2.3 Graphs of Sine and Cosine 

2.2.4 Transformations of Sine and Cosine 

2.2.5 Horizontal Stretches of Sine and Cosine Graphs 

Section 2.3

2.3.1 Solving Trigonometric Equations 

2.3.2 Inverse Sine and Cosine 

2.3.3 Graphs of Tangent and Inverse Tangent 

Closure

Chapter 3: Algebra and Area Under a Curve

Section 3.1

3.1.1 Operations with Rational Expressions 

3.1.2 Rewriting Expressions and Equations 

3.1.3 Solving Nonlinear Systems of Equations 

3.1.4 Polynomial Division 

3.1.5 Solving Classic Word Problems 

Section 3.2

3.2.1 Using Sigma Notation 

3.2.2 Area Under a Curve: Part One 

3.2.3 Area Under a Curve: Part Two 

3.2.4 Area Under a Curve: Part Three 

Closure

Chapter 4:Polynomial and Rational Functions

Section 4.1

4.1.1 Graphs of Polynomial Functions in Factored Form 

4.1.2 Writing Equations of Polynomial Functions 

4.1.3 Identifying and Using Roots of Polynomials 

Section 4.2

4.2.1 Graphing Transformations of y = 1x

4.2.2 Graphing Rational Functions 

4.2.3 Graphing Reciprocal Functions 

Section 4.3

4.3.1 Polynomial and Rational Inequalities 

4.3.2 Applications of Polynomial and Rational Functions 

Closure

Chapter 5: Exponentials and Logarithms

Section 5.1

5.1.1 Applications of Exponential Functions 

5.1.2 Stretching Exponential Functions 

5.1.3 The Number e 

Section 5.2

5.2.1 Logarithms 

5.2.2 Properties of Logarithms 

5.2.3 Solving Exponential and Logarithmic Equations 

5.2.4 Graphing Logarithmic Functions 

5.2.5 Applications of Exponentials and Logarithms 

Closure

Chapter 6: Triangles and Vectors

Section 6.1

6.1.1 The Law of Sines and Area

6.1.2 The Law of Cosines 

6.1.3 The Ambiguous Case of the Law of Sines 

Section 6.2

6.2.1 An Introduction to Vectors 

6.2.2 Operations with Vectors 

6.2.3 Applications of Vectors 

6.2.4 The Dot Product 

Closure

Chapter 7: Limits and Rates

Section 7.1

7.1.1 An Introduction to Limits 

7.1.2 Working With One-Sided Limits 

7.1.3 The Definition of a Limit 

7.1.4 Limits and Continuity 

7.1.5 Special Limits 

Section 7.2

7.2.1 Rates of Change from Data 

7.2.2 Slope and Rates of Change 

7.2.3 Average Velocity and Rates of Change 

7.2.4 Moving from AROC to IROC 

7.2.5 Rate of Change Applications 

Closure

Chapter 8: Extending Periodic Functions

Section 8.1

8.1.1 Graphing y = asin(b(x – h)) + k 

8.1.2 Modeling With Periodic Functions 

8.1.3 Improving the Spring Problem 

Section 8.2

8.2.1 Graphing Reciprocal Trigonometric Functions 

8.2.2 Trigonometric Functions, Geometrically 

Section 8.3

8.3.1 Simplifying Trigonometric Expressions 

8.3.2 Proving Trigonometric Identities 

8.3.3 Angle Sum and Difference Identities 

8.3.4 Double-Angle and Half-Angle Identities 

8.3.5 Solving Complex Trigonometric Equations 

Closure

Chapter 9: Matrices

Section 9.1

9.1.1 Introduction to Matrices 

9.1.2 Matrix Multiplication 

9.1.3 Determinants and Inverse Matrices

9.1.4 Solving Systems Using Matrix Equations 

Section 9.2

9.2.1 Linear Transformations 

9.2.2 Compositions of Transformations 

9.2.3 Properties of Linear Transformations Closure

Chapter 10: Conics and Parametric Functions

Section 10.1

10.1.1 Circles and Completing the Square 

10.1.2 Ellipses 

10.1.3 Hyperbolas 

10.1.4 Parabolas 

10.1.5 Identifying and Graphing Conic Sections 

Section 10.2

10.2.1 Parametrically-Defined Functions 

10.2.2 Applications of Parametrically-Defined Functions 

10.2.3 Conic Sections in Parametric Form

Closure

Chapter 11: Polar Functions and Complex Numbers

Section 11.1

11.1.1 Plotting Polar Coordinates 

11.1.2 Graphs of Polar Functions 

11.1.3 Families of Polar Functions 

11.1.4 Converting Between Polar and Rectangular Forms 

Section 11.2

11.2.1 Using the Complex Plane 

11.2.2 Operations with Complex Numbers Geometrically 

11.2.3 Polar Form of Complex Numbers 

11.2.4 Operations with Complex Numbers in Polar Form 

11.2.5 Powers and Roots of Complex Numbers 

Closure

Chapter 12: Series and Statistics

Section 12.1

12.1.1 Arithmetic Series 

12.1.2 Geometric Series 

12.1.3 Infinite Geometric Series 12.1.4 Applications of Geometric Series 

12.1.5 The Sum of the Harmonic Series 

Section 12.2

12.2.1 The Binomial Theorem 

12.2.2 Binomial Probabilities 

Section 12.3

12.3.1 Expected Value of a Discrete Random Variable 

12.3.2 Expected Value and Decision Making 

Closure

Chapter 13: Precalculus Finale

Section 13.1

13.1.1 A Race to Infinity 

13.1.2 Limits to Infinity 

13.1.3 Evaluating Limits at a Point Algebraically 

13.1.4 Another Look at e 

Section 13.2

13.2.1 Trapping Area With Trapezoids 

13.2.2 Area as a Function 

13.2.2A Going all to Pieces: Writing an Area Program 

13.2.3 Rocket Launch 

Section 13.3

13.3.1 Velocity and Position Graphs 

13.3.2 Instantaneous Velocity 

13.3.3 Slope Functions 

13.3.4 The Definition of Derivative 

13.3.5 Slope and Area Under a Curve 

Closure

Calculus
Third Edition

Chapter 1:A Beginning Look at Calculus

Section 1.1

1.1.1 Applying Rates and Distance 

Section 1.2

1.2.1 Piecewise-Defined Functions and Continuity 

1.2.2 End Behavior and Asymptotes 

1.2.3 Holes, Vertical Asymptotes, and Approach Statements 

1.2.4 Composite Functions and Inverse Functions 

1.2.5 Attributes of Even and Odd Functions 

1.2.6 Design a Flag 

Section 1.3

1.3.1 Finite Differences 

1.3.2 Slope Statements and Finite Differences of Non-Polynomials 

1.3.3 The Slope Walk 

Section 1.4

1.4.1 Distance and Velocity 

1.4.2 Average Velocity on a Position Graph 

1.4.3 Average Velocity on a Velocity Graph 

1.4.4 Acceleration 

Section 1.5

1.5.1 Area and Slope

Chapter 2: Rates, Sums, Limits, and Continuity

Section 2.1

2.1.1 Area Under a Curve Using Trapezoids 

2.1.2 Methods to Calculate Area Under a Curve 

2.1.3 Area Under a Curve as a Riemann Sum 

Section 2.2

2.2.1 Introduction to Limits as Predictions 

2.2.2 Intuitive Ideas of Continuity

2.2.3 Definition of Continuity 

2.2.4 Evaluating Limits 

Section 2.3

2.3.1 Ramp Lab 

2.3.2 Sudden Impact 

2.3.3 Local Linearity 

Section 2.4

2.4.1 Improving Approximation

Chapter 3: Slope and Curve Analysis

Section 3.1

3.1.1 The Power Rule 

3.1.2 Secants to Tangents, AROC to IROC 

Section 3.2

3.2.1 Definition of a Derivative 

3.2.2 Derivatives Using Multiple Strategies120

3.2.3 Derivatives of Sine and Cosine 

Section 3.3

3.3.1 Curve Constructor: Part One 

3.3.2 The Shape of a Curve 

3.3.3 Curve Sketching: Derivatives 

3.3.4 Ways to Describe f ′ and f ′′ 

Section 3.4

3.4.1 Conditions for Differentiability 

3.4.2 Curve Constructor: Part Two 

3.4.3 Differentiability of Specific Functions 

3.4.4 Intersection of Tangents

Chapter 4: The Fundamental Theorem of Calculus

Section 4.1

4.1.1 Definite Integrals 

4.1.2 Properties of Definite Integrals 

4.1.3 More Properties of Definite Integrals 

Section 4.2

4.2.1 Deriving “Area Functions” 

4.2.2 Indefinite and Definite Integrals 

4.2.3 The Fundamental Theorem of Calculus 

4.2.4 The Fundamental Theorem of Calculus 

4.2.5 Integrals as Accumulators 1

Section 4.3

4.3.1 Fast Times: Parts One & Two 

4.3.2 Fast Times: Parts Three & Four 

4.3.3 Fast Times: Part Five 

Section 4.4

4.4.1 Area Between Curves 197

4.4.2 More Area Between Curves 200

4.4.3 Multiple Methods for Calculating Area Between Curves 

Section 4.5

4.5.1 Newton’s Method

Chapter 5: Derivative Tools and Applications

Section 5.1

5.1.1 Distance, Velocity, and Acceleration Functions 

5.1.2 Optimization 

5.1.3 Using the Frist and Second Derivatives 

5.1.4 Applying the First and Second Derivative Tests 

Section 5.2

5.2.1 The Product Rule 

5.2.2 The Chain Rule and Application: Part One 

5.2.3 The Chain Rule and Application: Part Two 

5.2.4 The Quotient Rule 

5.2.5 More Trigonometric Derivatives 

Section 5.3

5.3.1 Optimization Problems: Part One 

5.3.2 Optimization Problems: Part Two 

5.3.3 Optimization Problems: Part Three 

Section 5.4

5.4.1 Chain Rule Extension of the Fundamental Theorem of Calculus 

Section 5.5

5.5.1 Evaluating Limits of Indeterminate Forms 

5.5.2 Using l’Hôpital’s Rule

Chapter 6: More Tools and Theorems

Section 6.1

6.1.1 Exponential Functions 

6.1.2 Derivatives of Exponential Functions 

6.1.3 Derivatives Using Multiple Tools 

6.1.4 Integrals of Exponential Functions 

Section 6.2

6.2.1 Implicit Differentiation 

6.2.2 Implicit Differentiation Practice 

Section 6.3

6.3.1 Inverse Trigonometric Derivatives 

6.3.2 Derivatives of Natural Logarithms 

6.3.3 Derivatives of Inverse Functions 

Section 6.4

6.4.1 Mean Value 

6.4.2 Mean Value Theorem 

6.4.3 Mean Value Theorem: Applications 

Section 6.5

6.5.1 Improper Integrals 

Chapter 7: Related Rates and Integration Tools

Section 7.1

7.1.1 Related Rates Introduction 

7.1.2 Related Rates Applications: The Pythagorean Theorem 

7.1.3 Related Rates Applications: Similar Triangles 323

7.1.4 Related Rates Applications: Choosing the Best Formula 

7.1.5 Related Rates Applications: Trigonometry 

Section 7.2

7.2.1 Undoing the Chain Rule 

7.2.2 Integration with u-Substitution 

7.2.3 Definite Integrals and u-Substitution 

7.2.4 Varied Integration Techniques 

Section 7.3

7.3.1 Solving Differential Equations 

7.3.2 Newton’s Law of Cooling 

7.3.3 Solving Separable Differential Equations 

7.3.4 Slope Fields with Parallel Tangents 

7.3.5 Plotting Slope Efficiently 

7.3.6 Differential Equation and Slope Field Applications 

Section 7.4

7.4.1 Euler’s Method

7.4.2 Integration By Parts 

7.4.3 Integration By Parts with Substitution 

7.4.4 Integration by Partial Fractions

Chapter 8: Volume

8.1.1 Volumes by Slicing 

8.1.2 The Disk Method 

8.1.3 The Washer Method 

8.1.4 Revolution About Horizontal and Vertical Lines 

8.1.5 Changing the Axis of Rotation 

8.1.6 Disk and Washer Problems 

Section 8.2

8.2.1 Shell Lab 

8.2.2 Comparing the Disk and Shell Methods 

8.2.3 Using an Appropriate Method to Calculate Volume 

Section 8.3

8.3.1 Cross-Sections Lab: General Case 

8.3.2 Cross-Sections Lab: Functions Given

8.3.3 Cross-Section Problems 

Section 8.4

8.4.1 Arc Length

Chapter 9: Pre-Calculus Review

Section 9.1

9.1.1 Infinite Geometric Series 

9.1.2 More Infinite Geometric Series 

9.1.3 Convergence and Divergence 

Section 9.2

9.2.1 Parametric Equations 

9.2.2 Converting Between Parametric and Rectilinear Form 

Section 9.3

9.3.1 Introduction to Vectors 

9.3.2 Vector Operations 

Section 9.4

9.4.1 Graphs of Polar Equations 

9.4.2 Converting Between Polar and Rectilinear Form 

9.4.3 Polar Families

Chapter 10: Convergence of Series

Section 10.1

10.1.1 Convergence of Series 

10.1.2 The Divergence Test 

10.1.3 The Alternating Series Test 

10.1.4 The Integral Test 

10.1.5 The p-Series Test 

10.1.6 The Comparison Test 

10.1.7 The Limit Comparison Test 

10.1.8 The Ratio Test 

Section 10.2

10.2.1 The Cootie Lab 

10.2.2 More Logistic Differential Equations 

Section 10.3

10.3.1 Power Series Convergence 

10.3.2 Using Polynomials to Approximate Curves 

Section 10.4

10.4.1 Absolute Convergence 

10.4.2 Regrouping and Rearranging Series

Chapter 11: Polar and Parametric Functions

Section 11.1

11.1.1 Area Bounded by a Polar Curve 

11.1.2 More Polar Area 

11.1.3 Area Between Polar Curves 

Section 11.2

11.2.1 Applied Calculus in Component Form 

11.2.2 Second Derivatives in Component Form 

11.2.3 Total Distance and Arc Length 

Section 11.3

11.3.1 Slopes of Polar Curves 

11.3.2 More Slopes of Polar Curves 

Section 11.4

11.4.1 Battling Robots

Chapter 12: Approximating Functions and Error

Section 12.1

12.1.1 Approximating with Polynomial Functions 

12.1.2 Taylor Polynomials About x = 0 

12.1.3 Taylor Polynomials About x = c 

12.1.4 Taylor Series 

12.1.5 Building Taylor Series Using Substitution 

Section 12.2

12.2.1 Interval of Convergence Using Technology 

12.2.2 Interval of Convergence Analytically 

Section 12.3

12.3.1 Error Bound for Alternating Taylor Polynomials 

12.3.2 Lagrange Error Bound 

Section 12.4

12.4.1 Evaluating Indeterminate Forms Using Taylor Series

Statistics

Chapter 1: Representing Data

Section 1.1

1.1.1 Visualizing Information 

1.1.2 Histograms and Stem-and-Leaf Plots 

1.1.3 Types of Data and Variables 

Section 1.2

1.2.1 Choosing Mean or Median 

1.2.2 Variance and Standard Deviation 

1.2.3 Sample Variance and Sample Standard Deviation 

1.2.4 Investigating Data Representation 

Section 1.3

1.3.1 Percentiles 

1.3.2 z-Scores 

1.3.3 Linear Transformations

Chapter 2: Two-Variable Quantitative Data

Section 2.1

2.1.1 Scatterplots and Association 

2.1.2 Line of Best Fit 

2.1.3 Residuals 

2.1.4 The Least Squares Regression Line 

2.1.5 Using Technology to Find the LSRL 

Section 2.2

2.2.1 The Correlation Coefficient 

2.2.2 Behavior of Correlation and the LSRL 

2.2.3 Residual Plots 

2.2.4 Association is Not Causation 

2.2.5 Interpreting Correlation in Context

Chapter 3: Multivariable Categorical Data

Section 3.1

3.1.1 Probability and Two-Way Frequency Tables 

3.1.2 Association and Conditional Relative Frequency Tables 

3.1.3 Probability Notation 

3.1.4 Relative Frequency Tables and Conditional Probabilities 

3.1.5 Analyzing False Positives 

Section 3.2

3.2.1 Probability Trees 

3.2.2 Problem Solving with Categorical Data 

3.2.3 Simulations of Probability

Chapter 4:Studies and Experiments

Section 4.1

4.1.1 Survey Design I 

4.1.2 Samples and the Role of Randomness 

4.1.3 Sampling When Random is Not Possible 

4.1.4 Observational Studies and Experiments 

4.1.5 Survey Design II (optional) 

Section 4.2

4.2.1 Cause and Effect with Experiments 

4.2.2 Experimental Design I 

4.2.3 Experimental Design II 

4.2.4 Experimental Design III

Chapter 5: Density Functions and Normal Distributions

Section 5.1

5.1.1 Relative Frequency Histograms and Random Variables 

5.1.2 Introduction to Density Functions 

5.1.3 The Normal Probability Density Function 

Section 5.2

5.2.1 The Inverse Normal Function

5.2.2 The Standard Normal Distribution and z-Scores 

5.2.3 Additional Practice Problems

Chapter 6: Discrete Probability Distributions

Section 6.1

6.1.1 Mean and Variance of a Discrete Random Variable 

6.1.2 Linear Combinations of Independent Random Variables

6.1.3 Exploring the Variability of X – X 

Section 6.2

6.2.1 Introducing the Binomial Setting 

6.2.2 Binomial Probability Density Function 

6.2.3 Exploring Binomial pdf and cdf 

6.2.4 Shape, Center, and Spread of the Binomial Distribution 

6.2.5 Normal Approximation to the Binomial Distribution 

Section 6.3

6.3.1 Introduction to the Geometric Distribution 

6.3.2 Binomial and Geometric Practice

Chapter 7: Variability in Categorical Data Sampling

Section 7.1

7.1.1 Introduction to Sampling Distributions 

7.1.2 Simulating Sampling Distributions of Sample Proportions 

7.1.3 Formulas for the Sampling Distributions of Sample Proportions 

Section 7.2

7.2.1 Confidence Interval for a Population Proportion 

7.2.2 Confidence Levels for Confidence Intervals 

7.2.3 Changing the Margin of Error in Confidence Intervals 

7.2.4 Evaluating Claims with Confidence Intervals

Chapter 8: Drawing Conclusions From Categorical Data

Section 8.1

8.1.1 Introduction to Hypothesis Testing 

8.1.2 Hypothesis Tests for Proportions 

8.1.3 Alternative Hypotheses and Two-Tailed Tests 

Section 8.2

8.2.1 Types of Errors in Hypothesis Testing 

8.2.2 Power of a Test 

Section 8.3

8.3.1 The Difference Between Two Proportions 

8.3.2 Two-Sample Proportion Hypothesis Tests 

8.3.3 More Proportion Inference

Chapter 9: Chi-Squared Inference Procedures

Section 9.1

9.1.1 Introduction to the Chi-Squared Distribution 

9.1.2 Chi-Squared Goodness of Fit 

9.1.3 More Applications of Chi-Squared Goodness of Fit 

Section 9.2

9.2.1 Chi-Squared Test for Independence 

9.2.2 Chi-Squared Test for Homogeneity of Proportions 

9.2.3 Practicing and Recognizing Chi-Squared Inference Procedures

Chapter 10: Drawing Conclusions From Quantitative Data

Section 10.1

10.1.1 Quantitative Sampling Distributions 

10.1.2 More Sampling Distributions 

Section 10.2

10.2.1 The Central Limit Theorem 

10.2.2 Using the Normal Distribution with Means 

Section 10.3

10.3.1 Introducing the t-Distribution 

10.3.2 Calculating Confidence Intervals for μ 

10.3.3 z-Tests and t-Tests for Population Means

Chapter 11:Comparing Means and Identifying Tests

Section 11.1

11.1.1 Paired and Independent Data from Surveys and Experiments 

11.1.2 Paired Inference Procedures 

11.1.3 Tests for the Difference of Two Means 6

11.1.4 Two-Sample Mean Inference with Experiments and Two-Sample Confidence Intervals

Section 11.2

11.2.1 Inference in Different Situations 

11.2.2 Identifying and Implementing an Appropriate Test

Chapter 12: Inference for Regression

Section 12.1

12.1.1 Sampling Distribution of the Slope of the Regression Line 

12.1.2 Inference for the Slope of the Regression Line 

Section 12.2

12.2.1 Transforming Data to Achieve Linearity 

12.2.2 Using Logarithms to Achieve Linearity

Chapter 13: ANOVA and Beyond!

Section 13.1

13.1.1 Modeling With the Chi-Squared Distribution 

13.1.2 Introducing the F-Distribution 

Section 13.2

13.2.1 One-Way ANOVA 

Section 13.3

13.3.1 Sign Test: Introduction to Nonparametric Inference 

13.3.2 Mood’s Median Test

JAVA

Chapter 1: Object Anatomy

Lesson 1.0

What Will I Learn?

Lesson 1.1

Using BlueJ and Submitting Programs

 

Lesson 1.2

Objects, Comments, and Identifiers

 

Lesson 1.3

Identifiers and Reserved Words

 

Lesson 1.4

Identifiers and More Data Types

 

Lesson 1.5

Writing Methods

 

Lesson 1.6

The Constructor

 

Lesson 1.7

Java Mathematics

 

Lesson 1.8

Four 4s
Writing Classes

 

Lesson 1.9.1

Time Conversions

 

Lesson 1.9.2

DollarsNcents

 

Chapter 2:Using Objects

Instantiating and Using Objects

 

Lesson 2.1.1

Instantiating Objects

 

Lesson 2.1.2

Four 4s V2

 

Lesson 2.2

System.out

 

Lesson 2.3

Error Types
User Interface

 

Lesson 2.4.1

Scanner

 

Lesson 2.4.2

Box Object

 

Lesson 2.4.3

Converter

 

Lesson 2.5

Car Dealership

Chapter 3: Classes from Libraries

Strings as Objects

 

Lesson 3.1.1

Strings Methods

 

Lesson 3.1.2

Strings Indexes

 

Lesson 3.2 

Rounding Numbers

 

Lesson 3.3 

Random Numbers

 

Lesson 3.4

Aliases and References

 

Lesson 3.5

Binary, Hexadecimal Conversions

Chapter 4: Iteration and Decisions

if else and or

 

Lesson 4.1.1

Cascading if else

 

Lesson 4.1.2

Multiple && ||

 

Lesson 4.1.3

Truth Tables
The while Loop

 

Lesson 4.2.1

while Loop Math

 

Lesson 4.2.2

while Loop Strings
The for Loop

 

Lesson 4.3.1

Word Analysis

 

Lesson 4.3.2

Sentence Analysis

 

Lesson 4.4

Nested Loops

 

Lesson 4.5

Working with GUIs

Chapter 5: Arrays

Lesson 5.1

Arrays of Primitives
Arrays of Objects

Lesson 5.2.1

Library of Books

 

Lesson 5.2.2

Deck of Cards

 

Lesson 5.3 

StuffMart Parking Lot

 

Chapter 6: Two-Dimensional Arrays

Two-Dimensional Arrays of Primitives

 

Lesson 6.1.1

Introduction to Two-Dimensional Arrays

 

Lesson 6.1.2

Matrix Objects
Two-Dimensional Arrays of Strings

 

Lesson 6.2.1

Seating Chart

 

Lesson 6.2.2

Flags R Fun

Chapter 7: The ArrayList and Sorting

Lesson 7.1

ArrayLists of Objects

Lesson 7.2

ArrayLists of Wrapped Primitives

 

Lesson 7.3

Box of Chocolates

 

Lesson 7.4

Sorting Activity

 

Lesson 7.5

Sorting ArrayLists

 

Lesson 7.6

Sorting Arrays

 

Chapter 8: Inheritance and Polymorphism

Lesson 8.1

ArrayLists of Objects

Lesson 8.2

ArrayLists of Wrapped Primitives

 

Lesson 8.3

Box of Chocolates

 

Lesson 8.4

Sorting Activity

 

Lesson 8.5

Interfaces

 

Chapter 9: Recursion

Lesson 9.1

Recursive Methods

Lesson 9.2

Stack Overflow
Recursive Applications

 

Lesson 9.3.1

Merge Sort

 

Lesson 9.3.2

Binary Search

 

Chapter 10: Additional Projects and Review

Lesson 10.1

Craps

Lesson 10.2

StuffMart Parking Lot V2

 

Lesson 10.3

Tic Tac Toe

 

Lesson 10.4

Recursive Rectangles

 

You are now leaving cpm.org.

Did you want to leave cpm.org?

I want to leave cpm.org.

No, I want to stay on cpm.org

Algebra Tiles Blue Icon

Algebra Tiles Session

  • Used throughout CPM middle and high school courses
  • Concrete, geometric representation of algebraic concepts.
  • Two-hour virtual session,
  •  Learn how students build their conceptual understanding of simplifying algebraic expressions
  • Solving equations using these tools.  
  • Determining perimeter,
  • Combining like terms,
  • Comparing expressions,
  • Solving equations
  • Use an area model to multiply polynomials,
  • Factor quadratics and other polynomials, and
  • Complete the square.
  • Support the transition from a concrete (manipulative) representation to an abstract model of mathematics..

Foundations for Implementation

This professional learning is designed for teachers as they begin their implementation of CPM. This series contains multiple components and is grounded in multiple active experiences delivered over the first year. This learning experience will encourage teachers to adjust their instructional practices, expand their content knowledge, and challenge their beliefs about teaching and learning. Teachers and leaders will gain first-hand experience with CPM with emphasis on what they will be teaching. Throughout this series educators will experience the mathematics, consider instructional practices, and learn about the classroom environment necessary for a successful implementation of CPM curriculum resources.

Page 2 of the Professional Learning Progression (PDF) describes all of the components of this learning event and the additional support available. Teachers new to a course, but have previously attended Foundations for Implementation, can choose to engage in the course Content Modules in the Professional Learning Portal rather than attending the entire series of learning events again.

Edit

Building on Instructional Practice Series

This series contains three different courses, taken in either order. The courses are designed for schools and teachers with a minimum of one year of experience teaching with CPM curriculum materials. Teachers will develop further understanding of strategies and tools for instructional practices and assessment.

Building on Equity

In this course, participants will learn how to include equitable practices in their  classroom and support traditionally underserved students in becoming leaders of their own learning. Participants will reflect on how their math identity and mindsets impact student learning. They will begin working on a plan for implementing Chapter 1 that creates an equitable classroom culture and curate strategies for supporting all students in becoming leaders of their own learning. Follow-up during the school year will support ongoing implementation of equitable classroom practices.

Building on Assessment

In this course, participants will apply assessment research to develop methods to provide feedback to students and to inform equitable assessment decisions. Participants will develop assessment action plans that will encourage continued collaboration within their learning community.

Building on Discourse

This professional learning builds upon the Foundations for Implementation Series by improving teachers’ ability to facilitate meaningful mathematical discourse. This learning experience will encourage participants to adjust their instructional practices in the areas of sharing math authority, developing independent learners, and the creation of equitable classroom environments. Participants will plan for student learning by using teaching practices such as posing purposeful questioning, supporting productive struggle, and facilitating meaningful mathematical discourse. In doing so, participants learn to support students collaboratively engaged with rigorous, team-worthy tasks with all elements of the Effective Mathematics Teaching Practices.