Textbook
The Heart of Mathematics: An Invitation to Effective Thinking, 3rd EditionNovember 2009, ©2010

CHAPTER TWO: Number Contemplation
Section 2.1. Counting [Pigeonhole principle].
Section 2.2. Numerical Patterns in Nature: [Fibonacci
numbers].
Section 2.3. Prime cuts of numbers [Prime numbers].
Section 2.4. Crazy clocks and checking out bars [Modular
arithmetic].
Section 2.5. Secret Codes and How to Become a Spy [RSA public key
cryptography].
Section 2.6. The irrational side of numbers [Irrational
numbers].
Section 2.7. Get real [The real number line].
CHAPTER THREE: Infinity
Section 3.1. Beyond Numbers [An introduction to onetoone
correspondence].
Section 3.2. Comparing the Infinite [Examples of onetoone
correspondences].
Section 3.3. The Missing Member [Cantor's diagonalization proof
that N<R].
Section 3.4. Travels Toward the Stratosphere of Infinities [Power
set theorem].
Section 3.5. Straightening up the circle [Geometrical
correspondences].
CHAPTER FOUR: Geometric Gems
Section 4.1. Pythagoras and his hypotenuse [Blaskara's elegant
proof].
Section 4.2. A view of an art gallery [A viewobstruction question
from computational geometry].
Section 4.3. The sexiest rectangle [The Golden Rectangle].
Section 4.4. Soothing symmetry and spinning pinwheels [Aperiodic
tilings].
Section 4.5. The Platonic Solids Turn Amorous [Symmetry and duality
in the Platonic Solids].
Section 4.6. The shape of reality? [NonEuclidean
geometries].
Section 4.7. The Fourth Dimension [Geometry through analogy].
CHAPTER FIVE: Contortions of Space
Section 5.1. Rubber sheet geometry [Topological equivalence by
distortion].
Section 5.2. The Band That Wouldn't Stop Playing [Möbius Band
and Klein Bottle].
Section 5.3. Circuit training. [The Euler circuit theorem].
Section 5.4. Feeling edgy? [The Euler characteristic].
Section 5.5. Knots and links [A little knot theory].
Section 5.6. Fixed Points, Hot Loops, and Rainy Days [The Brouwer
Fixed Point Theorem].
CHAPTER SIX: Fractals and Chaos
Section 6.1. Images [A gallery of fractals].
Section 6.2. The infinitely detailed beauty of fractals [Creating
fractals through repeated processes].
Section 6.3. Between dimensions [Fractal dimension].
Section 6.4. The mysterious art of imaginary fractals [Julia and
Mandelbrot Sets].
Section 6.5. The Dynamics of Change [Repeated applications of
simple processes].
Section 6.6. Predetermined chaos [Deterministic chaos].
CHAPTER SEVEN: Taming Uncertainty
Section 7.1. Chance surprises [Unexpected scenarios involving
chance].
Section 7.2. Predicting the future in an uncertain world
[Probability].
Section 7.3. Random thoughts [Coincidences].
Section 7.4. Down for the count [Systematic counting].
Section 7.5. Dizzling, Defending, and Doctoring [Probability of
Precipitation, game theory, Bayesian probability]
CHAPTER EIGHT: Meaning from Data
Section 8.1. Stumbling Through a Minefield of Data [Pitfalls of
statistics].
Section 8.2. Getting Your Data to Shape Up [Organizing, describing,
and summarizing data]
Section 8.3. Looking at Super Models [Mathematically described
distributions]
Section 8.4. Go Figure [Making inferences from data, hypothesis
testing]
Section 8.5. War, Sports, and Tigers [Cause and effect and
correlation, Simpson's Paradox, famous applications of
inference]
CHAPTER NINE: Deciding Wisely
Section 9.1. Great Expectations [Expected value]
Section 9.2. Risk [Deciding personal and public safety]
Section 9.3. Money Matters [Compound interest]
Section 9.4. Peril at the polls [voting]
Section 9.5. Cutting cake for greedy people [fair division]
Michael Starbird Michael Starbird is a University
Distinguished Teaching Professor of Mathematics at The University
of Texas at Austin. He has received more than a dozen teaching
awards including the Mathematical Association of America’s
2007 national teaching award and several universitywide teaching
awards based largely on his course in mathematics for liberal arts
students. Starbird brings intriguing mathematics to general
audiences through his classes, lectures, books, and video courses.
In 1989, Starbird was UT’s Recreational Sports Super Racquets
Champion.
 A new section (5.3) called Circuit Training: From the Königsberg Bridge Conundrum to graphs demonstrates how a specific question can lead to a whole new branch of mathematics. Important concepts arise from isolating essential features from specific conundrum.

The new Section 5.3 Circuit Training combines well with the next Section 5.4 Feeling Edgy?: Exploring relationships among vertices, edges, and faces to give a nice introduction to graph theory.

The second edition’s Chapter 6, Chaos and Fractals, has been reorganized to create the new Chapter 6, Fractals and Chaos. The reorganization allows the reader to more clearly appreciate the various features of fractals separately from the conundrums of chaos.

The second edition’s Chapter 7, Taming Uncertainty, which dealt with probability and statistics has been greatly expanded and split into two new chapters: Chapter 7, Taming Uncertainty, focuses on probability while Chapter 8, Meaning from Data, treats statistical reasoning.

In Chapter 7, Taming Uncertainty, readers will find intriguing illustrations of what to expect from randomness. Visual examples and results from coin flips illustrate the wisdom that from randomness, we should learn to expect the unexpected.

A new section in Chapter 7 discusses several reallife issues involving probability:

the meaning of the surprisingly poorly understood phrase, “There is a 30% chance of rain tomorrow.”

some game theory including an application to decisionmaking on the football field, and

how a doctor can use probabilistic reasoning when new test results alter the diagnosis of a disease.

Probabilistic reasoning can help us all understand our world in a more nuanced manner. The new features of Chapter 7 explore that perspective.


The new Chapter 8, Meaning from Data, begins by presenting statistical ideas through statistical pitfalls. These examples of dubious reasoning expose the themes that sound statistical reasoning develops.

Chapter 8 emphasizes the challenge of taking a set of data and finding strategies for extracting meaning from those data.

The themes of organizing, describing, and summarizing a collection of data lead naturally to the concepts of descriptive statistics.

The goal of understanding what we can infer about an entire data set when all we actually see is a sample from that data set leads us to concepts of inferential statistics.

Commonsense is a fundamental tenet of sound statistical reasoning, and commonsense is front and center in our presentation.

An entirely new section presents statistical challenges in real life from estimating the numbers of Nazi tanks in World War II to understanding how great baseball players of the past might have been.

Throughout the book, new expanded hints illustrate for the student how to apply sound methods of reasoning to selected Mindscapes.

The expanded hints and many additional Mindscapes allow students to translate ideas into action and effective learning.

New Mindscapes that bolster mathematical techniques allow instructors who wish to do so to include more quantitative skill development in the course along with conceptual richness.
 accessible, studentfriendly writing style that encourages critical thinking
 "Life Lessons"effective methods of thinking that students will retain and apply beyond the classroom
 end of section Mindscape activities for the development of application, problemsolving, and argumentation skills
 activities that encourage collaborative learning and group work handson manipulative kit that directs students to model their thinking and actively explore the world around them
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