Zum Hauptinhalt springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Introduction to Modeling and Simulation with MATLAB® and Python
Taschenbuch von Steven I. Gordon (u. a.)
Sprache: Englisch

55,80 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Aktuell nicht verfügbar

Kategorien:
Beschreibung
Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models.

The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a "just-in-time" approach so that by the end of the book, students can take on relatively simple modeling example on their own.



Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics.



The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students.



The companion website at [...] provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors.

Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models.

The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a "just-in-time" approach so that by the end of the book, students can take on relatively simple modeling example on their own.



Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics.



The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students.



The companion website at [...] provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors.

Inhaltsverzeichnis
Chapter 1 Introduction to Computational Modeling Chapter 2 Introduction to Programming Environments Chapter 3 Deterministic Linear Models Chapter 4 Array Mathematics in MATLAB (R) and Python Chapter 5 Plotting Chapter 6 Problem Solving Chapter 7 Conditional Statements Chapter 8 Iteration and Loops Chapter 9 Nonlinear and Dynamic Models Chapter 10 Estimating Models from Empirical Data Chapter 11 Stochastic Models Chapter 12 Functions Chapter 13 Verification, Validation, and Errors Chapter 14 Capstone Projects
Details
Medium: Taschenbuch
ISBN-13: 9780367573362
ISBN-10: 0367573369
Sprache: Englisch
Autor: Gordon, Steven I.
Guilfoos, Brian
Hersteller: Taylor & Francis
Chapman and Hall/CRC
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 11 x 156 x 234 mm
Von/Mit: Steven I. Gordon (u. a.)
Gewicht: 0,329 kg
Artikel-ID: 130027019
Inhaltsverzeichnis
Chapter 1 Introduction to Computational Modeling Chapter 2 Introduction to Programming Environments Chapter 3 Deterministic Linear Models Chapter 4 Array Mathematics in MATLAB (R) and Python Chapter 5 Plotting Chapter 6 Problem Solving Chapter 7 Conditional Statements Chapter 8 Iteration and Loops Chapter 9 Nonlinear and Dynamic Models Chapter 10 Estimating Models from Empirical Data Chapter 11 Stochastic Models Chapter 12 Functions Chapter 13 Verification, Validation, and Errors Chapter 14 Capstone Projects
Details
Medium: Taschenbuch
ISBN-13: 9780367573362
ISBN-10: 0367573369
Sprache: Englisch
Autor: Gordon, Steven I.
Guilfoos, Brian
Hersteller: Taylor & Francis
Chapman and Hall/CRC
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 11 x 156 x 234 mm
Von/Mit: Steven I. Gordon (u. a.)
Gewicht: 0,329 kg
Artikel-ID: 130027019
Sicherheitshinweis