Gordon, Steven I.

Introduction to modeling and simulation with MATLAB and Python - Boca Raton CRC Press 2017 - xviii, 191 p.

Table of Contents:

Introduction to computational modeling
Introduction to programming environments
Deterministic linear models
Array mathematics in matlab and python
Problem solving
Conditional statements
Iteration and loops
Non-linear and dynamic models
Estimating models from empirical data
Stochastic models
Verification, validation, and errors
Capstone projects

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.



Computer simulation
Python (Computer program language)
MATLAB (Computer program language)
Engineering mathematics - Data processing
Computer programming

005.13​3 / G6I6

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