Mathematics for the Fundamentals of Engineering Examination / Edition 1

Mathematics for the Fundamentals of Engineering Examination / Edition 1

by Max Kurtz
     
 

Conforming to the handbook provided during testing by the National Council of Examiners for Engineering and Surveying (NCEES), this is the first-ever study guide to the mathematics section of the exam. This thorough and eminently practical book gives the PE candidate a solid grounding in the principles of mathematics applied in the basic engineering sciences and… See more details below

Overview

Conforming to the handbook provided during testing by the National Council of Examiners for Engineering and Surveying (NCEES), this is the first-ever study guide to the mathematics section of the exam. This thorough and eminently practical book gives the PE candidate a solid grounding in the principles of mathematics applied in the basic engineering sciences and specialized areas of the discipline: chemical, civil, electrical, industrial, and mechanical engineering. With an emphasis on simple logic rather than abstract formulas, it clarifies concepts using every day terminology, 271 numerical examples, and 100 helpful diagrams. In addition, the book shows readers how to conserve time in the examination by making full use of the modern calculator. Reflecting the system that will be used exclusively in the PE Examination, this essential learning tool is written in SI Units.

Product Details

ISBN-13:
9780070360228
Publisher:
McGraw-Hill Professional
Publication date:
02/01/1997
Pages:
247
Product dimensions:
8.79(w) x 11.26(h) x 0.84(d)

Meet the Author

Table of Contents

Preface
Introduction
Recommendations to the Reader
Ch. 1Algebra1
Ch. 2Set Theory33
Ch. 3Matrix Algebra41
Ch. 4Statistics of Discrete Variables53
Ch. 5Probability of Discrete Variables65
Ch. 6Plane Geometry and Trigonometry83
Ch. 7Plane and Solid Analytic Geometry101
Ch. 8Differential Calculus127
Ch. 9Integral Calculus155
Ch. 10Properties of Areas, Volumes, and Masses187
Ch. 11Statistics and Probability of Continuous Variables211
Ch. 12Vector Analysis223
AppDerivatives, Integrals, and Laplace Transforms233
Index239

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