module specification, Assignments of Mathematics

Complete course notes for the whole calculus 1 notes

Typology: Assignments

2019/2020

Uploaded on 04/08/2020

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et) ion to Computation and Programming Using Python, Revised ded Edition uttag, troduces students with little or no prior programming experience to mputational problem solving using Python and various Python i luding PyLab. It provides students with skills that will enable them to uctive use of computational techniques, including some of the tools and echniques of “data science” for using computation to model and interpret data. ‘t0:Comiputatio the,pook is based on an MIT course (which became the most popular course n offered through MIT’s OpenCourseWare) and was developed for use not only in a J classroom but in a massive open online course (or MOOC) offered by Aont 2 thé pioneering MIT-Harvard collaboration edX. John ¥. Guttag Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by Paperback | Out of Print | 320 pp. | 8.5 x 11 in | 117 b&w illus. | August 2013 | ISBN: 9780262525008 eBook | $30.00 X | ISBN: 9780262316644 Mouseover for Online mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. Attention Data }duction to Computation and Programming Using Python can serve as a ‘About MIT Press eBooks grounding in computational problem solving for students in other disciplines. About the Author Google CF Preview John V. Guttag is the Dugald C. Jackson Professor of Computer Science and Look Inside Electrical Engineering at MIT. Accompanying Code Endorsements Also by this Author “This is the ‘computational thinking’ book we have all been waiting for! With humor and historical anecdotes, John Guttag conveys the breadth and joy of computer science without compromise to technical detail. This book is perfect for Introduction to any student who wants to explore the essence of computer science.” re —Jeannette M. Wing, President's Professor of Computer Science and (Setters ht Department Head, Carnegie Mellon University “John Guttag is an extraordinary teacher and an extraordinary writer. (Perhaps having been an undergraduate English major—an uncommon stepping stone to the leadership of the world’s top EECS department—has something to do with this.) This is not ‘a Python book’—although you will learn Python. Nor is it a ‘programming book’—although you will learn to program. It is a rigorous but Introduction to eminently readable introduction to computational problem solving.” Computation and