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Numerical and Statistical Methods for Bioengineering
Applications in MATLAB

$140.00 (X)

textbook

Part of Cambridge Texts in Biomedical Engineering

  • Date Published: November 2010
  • availability: Available
  • format: Hardback
  • isbn: 9780521871587

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  • The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are interweaved. A unique feature of the book is the inclusion of examples from clinical trials and bioinformatics, which are not found in other numerical methods textbooks for engineers. With a wealth of biomedical engineering examples, case studies on topical biomedical research, and the inclusion of end of chapter problems, this is a perfect core text for a one-semester undergraduate course.

    • The first numerical methods textbook specifically for bioengineers, with numerous examples drawn exclusively from biomedical engineering applications
    • Combines traditional engineering analysis topics with hypothesis testing, supporting the objectives and outcomes of biomedical engineering undergraduate programs
    • Includes implementation based on MATLAB, with many examples included, providing readers with analysis programs that are easy to understand and apply
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    Reviews & endorsements

    "The book is really easy to read and places frameworks for numerical analysis into realistic bioengineering concepts that students will find familiar and relevant. This is most evident in the excellent boxed examples, but also in many of the homework problems. I also really liked the “key points to consider” at the end of the chapters – these are useful reminders for the students. Finally, the book presents bioinformatics in a manageable fashion that should help demystify this subject for interested students."
    - K. Jane Grande-Allen, Rice University

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    Product details

    • Date Published: November 2010
    • format: Hardback
    • isbn: 9780521871587
    • length: 594 pages
    • dimensions: 250 x 190 x 30 mm
    • weight: 1.4kg
    • contains: 102 b/w illus.
    • availability: Available
  • Table of Contents

    1. Types and sources of numerical error
    2. Systems of linear equations
    3. Statistics and probability
    4. Hypothesis testing
    5. Root finding techniques for nonlinear equations
    6. Numerical quadrature
    7. Numerical integration of ordinary differential equations
    8. Nonlinear data regression and optimization
    9. Basic algorithms of bioinformatics
    Appendix A. Introduction to MATLAB
    Appendix B. Location of nodes for Gauss-Legendre quadrature.

  • Resources for

    Numerical and Statistical Methods for Bioengineering

    Michael R. King, Nipa A. Mody

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  • Instructors have used or reviewed this title for the following courses

    • Biomedical Computation and Statistics
    • Computational Methods in Biomedical Engineering
    • Math Methods Bioengineering
    • Methods of Analysis for Biomedical Engineering
    • Transport Processes in Biomedical Engineering
  • Authors

    Michael R. King, Cornell University, New York
    Michael R. King is an Associate Professor of Biomedical Engineering at Cornell University. He is an expert on the receptor-mediated adhesion of circulating cells, and has developed new computational and in vitro models to study the function of leukocytes, platelets, stem and cancer cells under flow. He has co-authored two books and received numerous awards, including the 2008 ICNMM Outstanding Researcher Award from the American Society of Mechanical Engineers and received the 2009 Outstanding Contribution for a Publication in the international journal Clinical Chemistry.

    Nipa A. Mody, Cornell University, New York
    Nipa A. Mody is currently a postdoctoral research associate at Cornell University in the Department of Biomedical Engineering. She received her Ph.D. in Chemical Engineering from the University of Rochester in 2008 and has received a number of awards including a Ruth L. Kirschstein National Research Service Award (NRSA) from the NIH in 2005 and the Edward Peck Curtis Award for Excellence in Teaching from the University of Rochester in 2004.

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