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Overview: Introduction to Mathematical Modeling and Computer Simulations, Second Edition continues to serve as an engaging and accessible textbook for undergraduates studying mathematical modeling and computer simulations. The book is heavily focussed on applications, and so may have a particular appeal to applied mathematicians, engineers, and others working in applied quantitative disciplines. The book may also be useful as a reference text for reference text for early-career stage practitioners. Much has happened in mathematical modeling and computer simulation since the first edition of this book. A modern course in this field has to include Machine Learning and Artificial Intelligence (AI). To take into account this requirement we made this mathematical book less mathematical trying to find the common point: less pure mathematical theory and more constructive algorithms and rules. The new Chapter 10, Machine Learning and data analysis, has been added. Moreover, an elementary introduction to programming in the Python language can be found in Appendix A. We provide some example Python codes, however, it is a good exercise to rewrite the Mathematica and MATLAB codes into Python code to gain fluency.
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