Bruce PollackJohnson and Audrey Fredrick Borchardt
A completely redesigned course, teaching the Entire Process of Problem Solving Using RealWorld Data and Technology.
Single Variable Problem Solving  Multivariable Problem Solving  
Chapter 1: Problem Solving, Functions and Models Chapter 2: Rates of Change Chapter 3: SingleVariable Optimization and Analysis Chapter 4: Continuous Probability and Integration Instructors Guide and Solution Manual Student Solution Manual Technology Manuals: TI83 Excel 
Chapter 5: Multivariable Models from Verbal Descriptions: Interest, NPV, SSE Chapter 6: Multivariate Models from Data: Regression and Statistics Chapter 7: Matrices and Solving Systems of Equations Chapter 8: Unconstrained Optimization of Multivariable Function Chapter 9: Constrained Optimization and Linear Programming 

Chapter 1 Introduction 1.0 The Process of Problem Solving 1.1 Functions 1.2 Mathematical Mocels and Formulation from Verbal Descriptions 1.3 Linear Functions and Models 1.4 Functions with One Concavity: Quadratic, Exponential, Power 1.5 Functions with Changing Concavity: Cubis, Quartic, Logistic Summary Chapter 2 2.1 Average and Percent Rate of Change Over an Interval 2.2 Instantaneous Rate of Change at a Point 2.3 Derivative Notation and Interpretation, Marginal Analysis 2.4 The Algebraic Definition of Derivative and Basic Derivative Rules 2.5 Composite Functions and the Chain Rule 2.6 The Product Rule Summary Chapter 3 SingleVariable Optimization and AnalysisIntroduction 3.1 Analysis of Graphs and Slope Graphs 3.2 Optimization – Algebraic Determination of Maxima and Minima 3.3 Testing of Critical Points, Concavity and Points of Inflection 3.4 PostOptimality Analysis 3.5* PerCent Rate of Change at a Point, Elasticity, Average Cost Summary Chapter 4 Continuous Probability and IntegrationIntroduction 4.1 Continuous Probability Distributions 4.2 Approximating Area under Curves (Subinterval Methods) 4.3 Finding Exact Areas Using Limits of Sums 4.4 Recovering Functions from their Derivatives 4.5 The Fundamental Theorem of Calculus 4.6 Variable Limits of Integration and Medians, Improper Integrals 4.7* Consumer and Producer Surplus Summary 
Chapter 5 Multivariable Models from Verbal Descriptions: Interest, NPV,SSEIntroduction 5.1 Multivariable Functions and Models, 3D Graphs 5.2 Formulating Models from Verbal Descriptions 5.3 Interest and Investments 5.4 The Time Value of Money (Present Value and Future Value) and Loans 5.5 Formulating SSE in Terms of Model Parameters Summary
Introduction 6.1 Multivariable Models from Data – Spreadsheets and Regression 6.2 Mean, Variance, Standard Deviation, MSE, Misuse of Statistics 6.3 R2, Standard Error, Misuse of Regression, Regression Assumptions 6.4* Investment Portfolios, RiskReturn Tradeoffs, Pareto Efficiency Summary Chapter 7 Matrices and Solving Systems of EquationsIntroduction 7.1 Introduction to Matrices and Basic Operations 7.2 Matrix Multiplication 7.3 Systems of Linear Equations and Augmented Matrices 7.4 Matrix Equations and Inverse Matrices 7.5* Markov Chains Summary Chapter 8 Unconstrained Optimization of Multivariable FunctionsIntroduction 8.1 Rates of Change of Multivariable Functions 8.2 Finding Local Extrema of Multivariable Functions 8.3 Optimization using a Spreadsheet 8.4 Testing for Local and Global Extrema 8.5 The Method of Least Squares Summary Chapter 9 Constrained Optimization and Linear ProgrammingIntroduction 9.1 Optimization with Equality Constraints: Lagrange Multipliers 9.2 Solving Linear Programs Graphically 9.3 The Simplex Method 9.4 Linear and Nonlinear Optimization on Spreadsheets Summary 