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Introduction to Modeling and Simulation with MATLAB (R) and Python (Paperback)
Loot Price: R1,350
Discovery Miles 13 500
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Introduction to Modeling and Simulation with MATLAB (R) and Python (Paperback)
Series: Chapman & Hall/CRC Computational Science
Expected to ship within 12 - 17 working days
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Total price: R1,360
Discovery Miles: 13 600
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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 http://www.intromodeling.com
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.
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