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Engineering Computation An Introduction Using MATLAB and Excel 2026 Evergreen Release By Joseph Musto, William E. Howard

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Pages: 337
File size: 9.44 MB
Format: Digital PDF
Course: Engineering
Category: eBook[PDF]

About this ebook

Engineering Computation: An Introduction Using MATLAB and Excel (2026 Evergreen / 2026 Release) by Joseph Musto, William E. Howard, and Richard R. Williams is a premier foundational textbook published by McGraw-Hill LLC. It is designed specifically for first- and second-year engineering students to bridge the gap between theoretical engineering concepts and practical computational tools. [1, 2, 3]

Core Philosophy

The core objective of the text is to teach software-independent fundamentals of engineering computing—such as algorithm development, tool selection, data representation, and the verification of results. Instead of treating MATLAB and Excel just as "canned" application packages, the authors leverage them to teach structured programming logic and systematic data manipulation. [1, 2, 3]

Book Structure & Contents

The textbook is systematically split into two distinct, high-utility halves: [1, 2, 3]

🛠️ Part 1: Computational Tools

This section provides "keystroke-level" instructional tutorials to get students proficient with software mechanics. [1]

Introduction to Computational Theory: Understanding how computers store numbers (scalars, arrays, matrices) and interpret code. [1, 3]
Excel Fundamentals: Mastering the ubiquitous spreadsheet application for basic mathematical operations, layout organization, and rapid prototyping. [1, 2, 3]
MATLAB Fundamentals: Introduction to the MATLAB command window, matrix laboratory environment, and treating matrices as standard variables. [1, 2]
MATLAB Programming: Building robust algorithms using structured constructs like logical statements (if/else) and loops (for, while). [1, 2, 3, 4, 5]
Plotting Data: Creating analytical, professional, and visually accurate 2D and 3D graphs to present numerical results. [1, 2, 3]

🚀 Part 2: Engineering Applications

The second half applies the tools learned in Part 1 to solve practical, multi-disciplinary engineering problems. [1]

Root Finding: Solving for variables where f(x) = 0 using methods like bisection or Newton-Raphson. [1, 2]
Matrix Mathematics & Simultaneous Equations: Solving massive linear algebraic systems (Ax = B) standard in structural, electrical, and chemical systems. [1, 2]
Numerical Integration: Approximating areas under curves (e.g., calculating total work or center of mass) via Simpson's or Trapezoidal rules. [1, 2]
Optimization: Finding maximum efficiency or minimum costs within constrained systems. [1, 2]

Key Text Details

Metric / Detail	Product Specification
Authors	Joseph C. Musto, William E. Howard, Richard R. Williams
Publisher	McGraw-Hill LLC
Release Year	2026 (Evergreen Release / 2026 ISE)
Target Audience	Undergraduates / College Audience
Core Software Covered	MATLAB & Microsoft Excel

Why the Dual-Software Approach?

The book argues that modern engineers cannot rely on just one platform. It compares the unique advantages of both tools: [1, 2, 3, 4]

Excel is featured for its ubiquity in corporate environments, quick data filtering, and easy-to-read tabular outputs.
MATLAB is prioritized for complex matrix operations, custom script automation, and handling heavy computational algorithms. [1, 2, 3, 4, 5]