## Request for consultation

## Overview

BIOCALCULUS: CALCULUS, PROBABILITY, AND STATISTICS FOR THE LIFE SCIENCES shows students how calculus relates to biology, with a style that maintains rigor without being overly formal. The text motivates and illustrates the topics of calculus with examples drawn from many areas of biology, including genetics, biomechanics, medicine, pharmacology, physiology, ecology, epidemiology, and evolution, to name a few. Particular attention has been paid to ensuring that all applications of the mathematics are genuine, and references to the primary biological literature for many of these has been provided so that students and instructors can explore the applications in greater depth. Although the focus is on the interface between mathematics and the life sciences, the logical structure of the book is motivated by the mathematical material. Students will come away with a sound knowledge of mathematics, an understanding of the importance of mathematical arguments, and a clear understanding of how these mathematical concepts and techniques are central in the life sciences.

- Real-World Data- In order to enhance interest and conceptual understanding, it's important for students to see and work with real-world data in both numerical and graphical form. Accordingly, the text uses actual data concerning biological phenomena to introduce, motivate, and illustrate the concepts of calculus.
- Graded Exercise Sets – Each exercise set is carefully graded, progressing from basic conceptual exercises and skill-development problems to more challenging problems involving applications and proofs.
- Conceptual Exercises – One of the goals of calculus instruction is conceptual understanding, and the most important way to foster conceptual understanding is through the problems that you assign. BIOCALCULUS includes a variety of problem types, with some exercise sets beginning with requests to explain the meanings of the basic concepts of the section. All review sections begin with a Concept Check and a True-False Quiz, and other exercises test conceptual understanding through graphs or tables, or use verbal descriptions to test conceptual understanding.
- Projects – One way of involving students and making them active learners is to have them work (perhaps in groups) on extended projects that give a feeling of substantial accomplishment when completed. This text provides 29 such projects. Drug Resistance in Malaria, for example, asks students to construct a recursion for the frequency of the gene that causes resistance to an antimalarial drug. The project Flapping and Gliding asks how birds can minimize power and energy by flapping their wings versus gliding. In The Tragedy of the Commons: An Introduction to Game Theory, two companies are exploiting the same fish population, and students determine optimal fishing efforts. The project Disease Progression and Immunity is a nice application of areas between curves. Students use a model for the measles pathogenesis curve to determine which patients will be symptomatic and infectious (or noninfectious), or asymptomatic and noninfectious.
- Biology Background – Biological background for each of the applications is given throughout the textbook. Additional information about how some biological phenomena were translated into the language of mathematics, along with animations and further references, is on the website www.stewartcalculus.com. Applications where such additional information is available are marked with the icon BB in the text.
- Technology – The availability of technology makes it more important to clearly understand the concepts that underlie the images on the screen. But, when properly used, graphing calculators and computers are powerful tools for discovering and understanding those concepts. This textbook can be used either with or without technology, and it uses two special symbols to indicate clearly when a particular type of machine is required. One indicates an exercise that definitely requires the use of such technology, but that is not to say that it can't be used on the other exercises as well. The other is reserved for problems in which the full resources of a computer algebra system (like Maple, Mathematica, or the TI-89/92) are required.
- Tools for Enriching Calculus (TEC) – TEC is a companion to the text and is intended to enrich and complement its contents. TEC uses a discovery-and-exploratory approach. In sections of the book where technology is particularly appropriate, marginal icons direct students to TEC modules that provide a laboratory environment in which they can explore the topic in different ways and at different levels. Visuals are animations of figures in text; Modules are more elaborate activities and include exercises. Instructors can choose to become involved at several different levels, ranging from simply encouraging students to use the Visuals and Modules for independent exploration, to assigning specific exercises from those included with each Module, or to creating additional exercises, labs, and projects that make use of the Visuals and Modules.
- Enhanced WebAssign – Up to 50% of the exercises in each section are assignable as online homework, including free response, multiple-choice, and multi-part formats. The system also includes Active Examples, in which students are guided in step-by-step tutorials through text examples, with links to the textbook and to video solutions. The system also includes a customizable YouBook, a Show Your Work feature, Just in Time review of precalculus prerequisites, an improved Assignment Editor, and an Answer Evaluator that accepts more mathematically equivalent answers and allows for homework grading in much the same way that an instructor grades.

CASE STUDIES.

Case Study 1: Kill curves and antibiotic effectiveness.

Case Study 2: Hosts, parasites, and time travel.

Chapter 1 Functions and Sequences.

1.1 Four Ways to Represent a Function.

1.2 A Catalog of Essential Functions.

1.3 New Functions from Old Functions.

Project: The Biomechanics of Human Movement.

1.4 Exponential Functions.

1.5 Logarithms; Semi-log and Log-log Plots.

Project: The Coding Function of DNA.

1.6 Sequences and Difference Equations.

Project: Drug Resistance in Malaria.

Review.

Case Study 1a: Kill curves and antibiotic effectiveness.

Chapter 2 Limits.

2.1 Limits of Sequences.

Project: Modeling the Dynamics of Viral Infections.

2.2 Limits of Functions at Infinity.

2.3 Limits of Functions at Finite Numbers.

2.4 Limits: Algebraic Methods.

2.5 Continuity.

Review.

Case Study 2a: Hosts, parasites, and time travel.

Chapter 3 Derivatives.

3.1 Derivatives and Rates of Change.

3.2 The Derivative as a Function.

3.3 Basic Differentiation Formulas.

3.4 The Product and Quotient Rules.

3.5 The Chain Rule.

3.6 Exponential Growth and Decay.

Project: Controlling Red Blood Cell Loss During Surgery.

3.7 Derivatives of the Logarithmic and Inverse Tangent Functions.

3.8 Linear Approximations and Taylor Polynomials.

Project: Harvesting Renewable Resources.

Review.

Case Study 1b: Kill curves and antibiotic effectiveness.

Chapter 4 Applications of Derivatives.

4.1 Maximum and Minimum Values.

Project: The Calculus of Rainbows.

4.2 How Derivatives Affect the Shape of a Graph.

4.3 L''Hopital''s Rule: Comparing Rates of Growth.

Project: Mutation-Selection Balance in Genetic Diseases.

4.4 Optimization.

Project: Flapping and Gliding.

Project: The Tragedy of the Commons: An Introduction to Game Theory.

4.5 Recursions: Equilibria and Stability.

4.6 Antiderivatives.

Review.

Chapter 5 Integrals.

5.1 Areas, Distances, and Pathogenesis.

5.2 The Definite Integral.

5.3 The Fundamental Theorem of Calculus.

Project: The Outbreak Size of an Infectious Disease.

5.4 The Substitution Rule.

5.5 Integration by Parts.

5.6 Partial Fractions.

5.7 Integration Using Tables and Computer Algebra Systems.

5.8 Improper Integrals.

Project: Drug Bioavailability.

Review.

Case Study 1c: Kill curves and antibiotic effectiveness.

Chapter 6 Applications of Integrals.

6.1 Areas Between Curves.

Project: Disease Progression and Immunity.

Project: The Gini Index.

6.2 Average Values.

6.3 Further Applications to Biology.

6.4 Volumes.

Review.

Case Study 1d: Kill curves and antibiotic effectiveness.

Case Study 2b: Hosts, parasites, and time travel.

Chapter 7 Differential Equations.

7.1 Modeling with Differential Equations.

Project: Chaotic Blowflies and the Dynamics of Populations.

7.2 Phase Plots, Equilibria, and Stability.

Project: Catastrophic Population Collapse: An Introduction to Bifurcation Theory.

7.3 Direction Fields and Euler''s Method.

7.4 Separable Equations.

Project: Why Does Urea Concentration Rebound After Dialysis?

7.5 Systems of Differential Equations.

Project: The Flight Path of Hunting Raptors.

7.6 Phase Plane Analysis.

Project: Determining the Critical Vaccination Coverage.

Review.

Case Study 2c: Hosts, parasites, and time travel.

Chapter 8 Vectors and Matrix Models.

8.1 Coordinate Systems.

8.2 Vectors.

8.3 The Dot Product.

Project: Microarray Analysis of Genome Expression.

Project: Vaccine Escape.

8.4 Matrix Algebra.

8.5 Matrices and the Dynamics of Vectors.

8.6 The Inverse and Determinant of a Matrix.

Project: Cubic Splines.

8.7 Eigenvalues and Eigenvectors.

8.8 Iterated Linear Transformations.

Project: The Emergence of Geometric Order in Proliferating Cells.

Review.

Chapter 9 Multivariable Calculus.

9.1 Functions of Several Variables.

9.2 Partial Derivatives.

9.3 Tangent Planes and Linear Approximations.

9.4 The Chain Rule.

9.5 Directional Derivatives and the Gradient Vector.

9.6 Maximum and Minimum Values.

Review.

Chapter 10 Systems of Linear Differential Equations.

10.1 Qualitative Analysis of Linear Systems.

10.2 Solving Linear Systems of Differential Equations.

10.3 Applications.

Project: Pharmacokinetics of Antimicrobial Dosing

10.4 Systems of Nonlinear Differential Equations.

Review.

Case Study 2d: Hosts, parasites, and time travel.

Chapter 11 Descriptive Statistics.

11.1 Numerical Descriptions of Data.

11.2 Graphical Descriptions of Data.

11.3 Relationships Between Variables.

11.4 Populations, Samples, and Inference.

Review.

Chapter 12 Probability.

12.1 Principles of Counting.

12.2 What is Probability?

12.3 Conditional Probability.

Project: Testing for Rare Diseases.

12.4 Discrete Random Variables.

Project: DNA Supercoiling.

Project: The Probability of an Avian Influenza Pandemic in Humans.

12.5 Continuous Random Variables.

Review.

Chapter 13 Inferential Statistics.

13.1 The Sampling Distribution.

13.2 Confidence Intervals.

13.3 Hypothesis Testing.

13.4 Contingency Table Analysis.

Review.

Appendixes.

A Intervals, Inequalities, and Absolute Values.

B Coordinate Geometry.

C Trigonometry.

D Precise Definitions of Limits.

E A Few Proofs.

F Sigma Notation.

G Complex Numbers.

H Sttistical Tables.

I Glossary of Biological Terms.

J Answers to Odd-Numbered Exercises.

List of Biological Applications.

Index.

Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

### FOR INSTRUCTORS

#### Complete Solutions Manual

ISBN: 9781305114074

#### Student Solutions Manual

ISBN: 9781305114067

Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving you a way to check your answers and ensure that you took the correct steps to arrive at an answer.

### FOR STUDENTS

#### Student Solutions Manual

ISBN: 9781305114067

Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving you a way to check your answers and ensure that you took the correct steps to arrive at an answer.