Posts
Check out these books below by Cambridge University Press.
Photo: JumpStory
Quantitative Reasoning - Thinking in Numbers
 |
| Quantitative Reasoning Thinking in Numbers |
Is college worth the cost? Should I worry about arsenic in my rice? Can we recycle pollution? Real questions of personal finance, public health, and social policy require sober, data-driven analyses. This unique text provides students with the tools of quantitative reasoning to answer such questions. The text models how to clarify the question, recognize and avoid bias, isolate relevant factors, gather data, and construct numerical analyses for interpretation...
The many detailed problems and worked solutions in the text and extensive appendices help the reader learn mathematical areas such as algebra, functions, graphs, and probability. End-of-chapter problem material provides practice for students, and suggested projects are provided with each chapter. A solutions manual is available online for instructors.
- Accessible, engaging and self-contained - a one-stop shop for the reader to review or learn basic mathematical skills while learning how to apply them to multi-step arguments in a quantitative way Tailored for courses in quantitative reasoning and critical reasoning
- Assumes only high-school mathematics, accommodating a wide range of preparation
Date Published: January 2020
How to Prove It - A Structured Approach
 |
| How to Prove It A Structured Approach |
Assuming no background beyond standard high school mathematics, this book will be useful to anyone interested in logic and proofs: computer scientists, philosophers, linguists, and, of course, mathematicians.
- Perfect for self-study, an introduction to proofs course, or as a supplementary text for a discrete mathematics course or foundations of computing course
- Systematic and thorough, showing how several techniques can be combined to construct a complex proof
- Covers logic, set theory, relations, functions, and cardinality
Date Published: July 2019
Combinatorial Mathematics
 |
| Combinatorial Mathematics |
Consistent notation and terminology are used throughout, allowing for a discussion of diverse topics in a unified language. The thorough bibliography, containing thousands of citations, makes this a valuable source for students and researchers alike.
- Can be used as a text for a one-year sequence, or as a one-semester introduction leading to an advanced course, with a complete solutions manual available online for instructors
- Contains more than 2200 exercises at various levels. Especially instructive, interesting, or valuable exercises are marked with a diamond symbol
- Includes several thousand references (with pointers to pages where cited) and many exercises, theorems, and proofs that have not previously appeared in textbooks
Date Published: July 2020
Climate Mathematics - Theory and Applications
Climate Mathematics
Theory and Applications
This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples...
Guidance is provided on how the book can support a variety of courses
at different levels, making it a highly flexible text for undergraduate
and graduate students, as well as researchers and professional climate
scientists who need to refresh or modernize their quantitative skills.
- Tailored specifically to the needs of climate science, combining all the relevant math topics into a single resource
- Accessible and self-contained, assuming only high school mathematical knowledge
- Presents each formula alongside relevant climate science examples to demonstrate the physical meaning and context
- Uses R and Python code to integrate computational techniques with mathematical methods – training students in the key skills of data analysis and visualization
Date Published: October 2019
Happy reading 📚books and drink ☕️coffee!
Source: Cambridge University Press.
