Computer algebra systems allow students to work thorough mathematical models much more efficiently and with fewer errors than with pencil and paper and to work with much more complex and computationally intensive models. Aimed at undergraduates in their second or third year, this book is filled with examples from a wide variety of disciplines, including biology, economics, medicine, engineering, game theory, physics, chemistry. The text includes a large number of Maple(R) recipes.

From the reviews:

"In the book, the authors are showing the reader what they can do with Maple 6, and they can do a lot. Simply flipping the pages of the book, the reader might get very inspired by the formulas and pictures. Most of the text I covered up to now contains useful and exciting examples . the book is definitely very useful for educators ." (L. Kocbach, Computer Physics Communications, Vol. 144, 2002)

"This book captures the essence of the CAS approach and it is the best book of its kind that I am aware of. The level of mathematics, the eclectic, abundant and carefully selected problem set, the friendly and expansive text and the clear demonstration of the power of the CAS approach all add up to a first rate book. I highly recommend that you get your library to order a copy." (B.I. Henry, The Physicist, Vol. 39 (2), 2002)

"This book is a readable introduction to Maple, a computer algebra system. The authors present real life situations, describe them in the language of mathematics, and then use Maple to find or deduce conclusions, predictions and classifications of each of these situations." (Václav Koubek, Zentralblatt MATH, Vol. 976, 2002)

Inhalt
From the contents: Introduction: 0.1. Computer Algebra Systems. 0.2. The Spiral Staircase to Learning. 0.3. How to Climb the Spiral Staircase.- I. THE APPETIZERS: 1. The Pictures of Science: 1.1. Introduction. 1.2. Data and Function Plots: 1.2.1. Correcting for Inflation; 1.2.2. The Plummeting Badminton Bird; 1.2.3. Minimizing the Travel Time. 1.3. Log-log (Power Law) Plots: 1.3.1. Chimpanzee Brain Size; 1.3.2. Scaling Arguments and Gulliver's Travels. 1.4. Contour and Gradient Plots: 1.4.1. The Secret Message; 1.4.2. Designing a Ski Hill. 1.5. Animated Plots: 1.5.1. Waves are Dynamic; 1.5.2. The Sands of Time. 2. Deriving Model Equations: 2.1. Introduction. 2.2. Linear Correlation: 2.2.1. What is Linear Correlation? 2.2.2. The Corn Palace. 2.3. Lease Squares Derivation of Model Equations: 2.3.1. Regression Analysis; 2.3.2. Will You Be Better Off Than Your Parents? 2.3.3. What was the Heart Rate of a Brachiosaurus? 2.3.4. Senate Renewal; 2.3.5. Bikini Sales and the Logistic Curve; 2.3.6 Following the Dow Jones Index; 2.3.7. Variation of 'g' with Latitude; 2.3.8. Finding Romeo a Juliet. 2.4. Deriving Multiple Regression.