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Introduction to modeling and numerical methods for biomedical and chemical engineers

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to modeling and numerical methods for biomedical and chemical engineersby Edward Gatzke.
Author:	Gatzke, Edward.
Published:	Cham :Springer International Publishing :2022.
Description:	xiii, 288 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Biomedical engineeringMathematical models.
Online resource:	https://doi.org/10.1007/978-3-030-76449-4
ISBN:	9783030764494$q(electronic bk.)

Introduction to modeling and numerical methods for biomedical and chemical engineers
Gatzke, Edward.

Introduction to modeling and numerical methods for biomedical and chemical engineers[electronic resource] /by Edward Gatzke. - Cham :Springer International Publishing :2022. - xiii, 288 p. :ill. (some col.), digital ;24 cm.

List of Examples -- List of Definitions -- Foreword -- Modern Engineering -- Mathematical Fundamentals -- Engineering Modeling -- Computational Problem Solving -- Introduction to MATLAB -- Linear Algebra -- Solving Problems Numerically -- Spreadsheets -- Basic Statistics and Probability -- Linearity -- Forces -- Classes of Numerical Problems -- Introduction to COMSOL -- Tips on Presenting Your Work -- Technical Writing Suggestions -- Lecture Notes.

This textbook introduces the concepts and tools that biomedical and chemical engineering students need to know in order to translate engineering problems into a numerical representation using scientific fundamentals. Modeling concepts focus on problems that are directly related to biomedical and chemical engineering. A variety of computational tools are presented, including MATLAB, Excel, Mathcad, and COMSOL, and a brief introduction to each tool is accompanied by multiple computer lab experiences. The numerical methods covered are basic linear algebra and basic statistics, and traditional methods like Newton's method, Euler Integration, and trapezoidal integration. The book presents the reader with numerous examples and worked problems, and practice problems are included at the end of each chapter. Focuses on problems and methods unique to biomedical and chemical engineering; Presents modeling concepts drawn from chemical, mechanical, and materials engineering; Ancillary materials include lecture notes and slides and online videos that enable a flipped classroom or individual study.

ISBN: 9783030764494$q(electronic bk.)

Standard No.: 10.1007/978-3-030-76449-4doiSubjects--Topical Terms:

278359
Biomedical engineering
--Mathematical models.

LC Class. No.: TA342 / .G38 2022

Dewey Class. No.: 620.00151

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505 0 $a List of Examples -- List of Definitions -- Foreword -- Modern Engineering -- Mathematical Fundamentals -- Engineering Modeling -- Computational Problem Solving -- Introduction to MATLAB -- Linear Algebra -- Solving Problems Numerically -- Spreadsheets -- Basic Statistics and Probability -- Linearity -- Forces -- Classes of Numerical Problems -- Introduction to COMSOL -- Tips on Presenting Your Work -- Technical Writing Suggestions -- Lecture Notes.
520 $a This textbook introduces the concepts and tools that biomedical and chemical engineering students need to know in order to translate engineering problems into a numerical representation using scientific fundamentals. Modeling concepts focus on problems that are directly related to biomedical and chemical engineering. A variety of computational tools are presented, including MATLAB, Excel, Mathcad, and COMSOL, and a brief introduction to each tool is accompanied by multiple computer lab experiences. The numerical methods covered are basic linear algebra and basic statistics, and traditional methods like Newton's method, Euler Integration, and trapezoidal integration. The book presents the reader with numerous examples and worked problems, and practice problems are included at the end of each chapter. Focuses on problems and methods unique to biomedical and chemical engineering; Presents modeling concepts drawn from chemical, mechanical, and materials engineering; Ancillary materials include lecture notes and slides and online videos that enable a flipped classroom or individual study.
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