Essential Math Skills for Engineers

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Product Description

Just the math skills you need to excel in the study or practice of engineering

Good math skills are indispensable for all engineers regardless of their specialty, yet only a relatively small portion of the math that engineering students study in college mathematics courses is used on a frequent basis in the study or practice of engineering. That's why Essential Math Skills for Engineers focuses on only these few critically essential math skills that students need in order to advance in their engineering studies and excel in engineering practice.

Essential Math Skills for Engineers features concise, easy-to-follow explanations that quickly bring readers up to speed on all the essential core math skills used in the daily study and practice of engineering. These fundamental and essential skills are logically grouped into categories that make them easy to learn while also promoting their long-term retention. Among the key areas covered are:

• Algebra, geometry, trigonometry, complex arithmetic, and differential and integral calculus

• Simultaneous, linear, algebraic equations

• Linear, constant-coefficient, ordinary differential equations

• Linear, constant-coefficient, difference equations

• Linear, constant-coefficient, partial differential equations

• Fourier series and Fourier transform

• Laplace transform

• Mathematics of vectors</ul>

  With the thorough understanding of essential math skills gained from this text, readers will have mastered a key component of the knowledge needed to become successful students of engineering. In addition, this text is highly recommended for practicing engineers who want to refresh their math skills in order to tackle problems in engineering with confidence.

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  Essential Math Skills for Engineers Review

  Saves much time and effort by covering ONLY those mathematical techniques that are MOST OFTEN USED in engineering. Includes material on elementary math, simultaneous equations and matrices, derivatives and integrals, ODEs, PDEs, difference equations, Fourier series/transforms, the Laplace transform & vectors (including div, curl, grad, integral theorems, etc.). (No probability or statistics.) I have only one criticism, which is more of a missing theme. The author doesn't mention the importance of transforming to a frame of reference or coordinate system in which a problem is easier to solve. Thus no mention of spherical/cylindrical coordinates, matrix similarity transformation/diagonalization, etc. But this is by no means a fatal flaw. If this book interests you: Math Refresher for Scientists and Engineers The Mathematics Companion: Mathematical Methods for Physicists and Engineers Foundations of Science Mathematics (Oxford Chemistry Primers, 77) Foundations of Science Mathematics: Worked Problems (Oxford Chemistry Primers, 82)
  
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