This book has been completely rewritten compared to the first edition with not many problems intersecting. So a good complement to the first editon and also a good standalone book if one takes it alone.
A physics course for 9th to 11th grade covering essential physics concepts. Introductory Physics is a mastery-oriented text specially designed to foster content mastery and retention when used with the companion resource materials available on CD from Centripetal Press. Another key feature of Centripetal Press texts is the integration of related subjects: history, mathematics, language skills, epistemology (the philosophy of knowledge) as well as frequent references from the humanities. Fresh pedagogical ideas and presentation make this text a superior choice for all learning environments where rigor and lucidity are desired in a text.
This reissued version of the classic text Basic Physics will help teachers at both the high-school and college levels gain new insights into, and deeper understanding of, many topics in both classical and modern physics that are commonly taught in introductory physics courses. All of the original book is included with new content added. Short sections of the previous book (174 in number) are labeled 'Features.' These Features are highlighted in the book, set forth in a separate Table of Contents, and separately indexed.Many teachers will value this book as a personal reference during a teaching year as various topics are addressed. Ford's discussions of the history and meaning of topics from Newton's mechanics to Feynman's diagrams, although written first in 1968, have beautifully withstood the test of time and are fully relevant to 21st-century physics teaching.
This book grew out of the notes for a one-semester basic graduate course in probability. As the title suggests, it is meant to be an introduction to probability and could serve as textbook for a year long text for a basic graduate course. It assumes some familiarity with measure theory and integration so in this book we emphasize only those aspects of measure theory that have special probabilistic uses.The book covers the topics that are part of the culture of an aspiring probabilist and it is guided by the author's personal belief that probability was and is a theory driven by examples. The examples form the main attraction of this subject. For this reason, a large book is devoted to an eclectic collection of examples, from classical to modern, from mainstream to 'exotic'. The text is complemented by nearly 200 exercises, quite a few nontrivial, but all meant to enhance comprehension and enlarge the reader's horizons.While teaching probability both at undergraduate and graduate level the author discovered the revealing power of simulations. For this reason, the book contains a veiled invitation to the reader to familiarize with the programing language R. In the appendix, there are a few of the most frequently used operations and the text is sprinkled with (less than optimal) R codes. Nowadays one can do on a laptop simulations and computations we could only dream as an undergraduate in the past. This is a book written by a probability outsider. That brings along a bit of freshness together with certain 'naiveties'.