Introduction to Scientific Programming: Computational Problem Solving Using Mathematica and C (no disk)

Joseph L. Zachary

ISBN 10: 0387982507 / ISBN 13: 9780387982502

Published by Springer, 1998

About this Item

Disk is missing. Usual ex-library features. The interior is clean and tight. Binding is good. Cover shows slight wear. 433 pages. Seller Inventory # 120284

Bibliographic Details

Title: Introduction to Scientific Programming: ...

Publisher: Springer

Publication Date: 1998

Binding: Hard Cover

Condition: Good

Dust Jacket Condition: No Jacket

Book Type: Ex-Library

About this title

Synopsis:

"Introduction to Scientific Programming" was developed over a period of two years at the University of Utah Department of Computer Science in conjunction with the U.S. Department of Energy-funded Undergraduate Computation in Engineering Science (UCES) program. To encourage the integration of computation into the science and engineering curricula, an introductory course in computing was designed expressly for science and engineering students. This course was created to satisfy the standard programming requirement, while preparing students to immediatly expliot the broad power of modern computing in their sicence and engineering courses. The course has at least four distinguishing features: - It uses a sumbolic mathematics package (Mathematica) in combination with a conventional programming language (C). - It teaches programming concepts in parallel with a scientific problem-solving methodology. - It draws upon a variety of computational problems from the breadth of science and engineering to interest students and establish the relevance of the computational problem-solving approach. - The author has developed an extensive suite of interactive, on-line laboratory materials that students can use via any HTML viewer. All of the "Introduction to Scientific Programming" notes are available on -line and contain a number of embedded interactive URLs.

About the Author:

Joseph L. Zachary is an Associate Professor of Computer Science at the University of Utah.