The strength of Engineering Computation is its combination of the two most important computational programs in the engineering marketplace today, MATLAB® and Excel®. Engineering students will need to know how to use both programs to solve problems.
The focus of this text is on the fundamentals of engineering computing: algorithm development, selection of appropriate tools, documentation of solutions, and verification and interpretation of results.
To enhance instruction, the companion website includes a detailed set of PowerPoint slides that illustrate important points reinforcing them for students and making class preparation easier.
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Joseph Musto holds a B.S. from Clarkson University, and an M.Eng. and Ph.D. from Rensselaer Polytechnic Institute, all in mechanical engineering. Before beginning his academic career, Dr. Musto worked in industry in held industrial positions with Brady Corporation (Milwaukee, WI) and Eastman Kodak Company (Rochester, NY). He is a registered professional engineer in the state of Wisconsin. He has been using and teaching solid modeling using SOLIDWORKS since 1998.
William "Ed" Howard holds a B.S. in civil engineering and an M.S. in engineering mechanics from Virginia Tech, and a Ph.D. in mechanical engineering from Marquette University. He is an associate professor in the East Carolina University Department of Engineering, where he teaches solid modeling, engineering computations, solid mechanics, and composite materials. Before beginning his academic career, Dr. Howard worked in industry for 14 years in design, analysis, and project engineering at Thiokol Corporation (Brigham City, UT), Spaulding Composites Company (Smyrna, TN), and Sta-Rite Industries (Delavan, WI). He is a registered professional engineer in the state of Wisconsin.
PART 1: COMPUTATIONAL TOOLS
Chapter 1: Computing Tools
Chapter 2: Excel Fundamentals
Chapter 3: MATLAB Fundamentals
Chapter 4: MATLAB Programming
Chapter 5: Plotting Data
PART 2: ENGINEERING APPLICATIONS
Chapter 6: Finding the Roots of Equations
Chapter 7: Matrix Mathematics
Chapter 8: Solving Simultaneous Equations
Chapter 9: Numerical Integration
Chapter 10: Optimization
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