A Classroom-Tested, Alternative Approach to Teaching Math for Liberal Arts
Puzzles, Paradoxes, and Problem Solving: An Introduction to Mathematical Thinking uses puzzles and paradoxes to introduce basic principles of mathematical thought. The text is designed for students in liberal arts mathematics courses. Decision-making situations that progress from recreational problems to important contemporary applications develop the critical-thinking skills of non-science and non-technical majors.
The logical underpinnings of this textbook were developed and refined throughout many years of classroom feedback and in response to commentary from presentations at national conferences. The text’s five units focus on graphs, logic, probability, voting, and cryptography. The authors also cover related areas, such as operations research, game theory, number theory, combinatorics, statistics, and circuit design.
The text uses a core set of common representations, strategies, and algorithms to analyze diverse games, puzzles, and applications. This unified treatment logically connects the topics with a recurring set of solution approaches.
Requiring no mathematical prerequisites, this book helps students explore creative mathematical thinking and enhance their own critical-thinking skills. Students will acquire quantitative literacy and appreciation of mathematics through the text’s unified approach and wide range of interesting applications.
Graphs: Puzzles and Optimization
Graphical Representation and Search
Greedy Algorithms and Dynamic Programming
Shortest Paths, DNA Sequences, and GPS Systems
Routing Problems and Optimal Circuits
Traveling Salesmen and Optimal Orderings
Vertex Colorings and Edge Matchings
Logic: Rational Inference and Computer Circuits
Inductive and Deductive Arguments
Deductive Arguments and Truth-Tables
Deductive Arguments and Derivations
Deductive Logic and Equivalence
Modeling Using Deductive Logic
Probability: Predictions and Expectations
Probability and Counting
Counting and Unordered Outcomes
Independence and Conditional Probabilities
Bayes’ Law and Applications of Conditional Probabilities
Expected Values and Decision Making
Counting: Voting Methods and Apportionment
Fairness Criteria and Arrow’s Impossibility Theorem
Weighted Voting Systems and Voting Power
Assessing Apportionment Methods
Numbers: Cryptosystems and Security
Modular Arithmetic and Cryptography
Binary Representation and Symmetric Cryptosystems
Prime Numbers and Public-Key Cryptosystems
Appendix A: Applications
Appendix B: Classifications
"… an interesting approach to the world of mathematics. … The layout is good, as is the coverage. … The reinforcing exercises are excellent. Using logic and other techniques, the text lays out methods to help students learn to think in a mathematical manner. Summing up: Recommended. General readers, lower- and upper-division undergraduates."
—M. D. Sanford, Felician College, Lodi, New Jersey, USA for CHOICE, November 2015