40 Fun-tabulous Puzzles for Multiplication, Division, Decimals, Fractions, & More (Grades 4-8)
"Practice makes perfect"—especially for building computation skills! And if your students find this practice dull and dreary, you've gotta have this book! Captivate your students with these fun-filled puzzles that strengthen essential computation skills. Students use basic operations—addition, subtraction, multiplication, and division—to solve unique puzzle problems with whole numbers, decimals, fractions, time and measurement, and more!
A book that brings mathematics to life in stories, puzzles and challenges. - Helps kids find out that mathematics is more than just computation. - - Lets them discover the world of mathematics.-
An Introduction to Statistical Inference and Data Analysis
Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples—not to perform entire analyses.experimental data.
A fantastic collection of problems for anyone who is curious about how human language works! These books take serious scientific questions and present them in a fun, accessible way. Readers exercise their logical thinking capabilities while learning about a wide range of human languages, linguistic phenomena, and computational models. This book brings together, for the first time in one collection, the best English-language problems created for students competing in the Computational Linguistics Olympiad.
Introduction to the Languages and the Theory Computation
Introduction to Languages and the Theory of Computation is an introduction to the theory of computation that emphasizes formal languages, automata and abstract models of computation, and computability; it also includes an introduction to computational complexity and NP-completeness. Through the study of these topics, students encounter profound computational questions and are introduced to topics that will have an ongoing impact in computer science. Once students have seen some of the many diverse technologies contributing to computer science, they can also begin to appreciate the field as a coherent discipline.