Mathematical modeling uses mathematical models to represent ideas derived from the real world in order to make computable and analyzable data. Models can be divided according to results such as deterministic models and stochastic models and the level of details of data of a model, such as mechanistic and empirical models. Mathematical modeling allows users to make informed decisions and develop a scientific understanding. This book is a valuable compilation of topics, ranging from the basic to the most complex advancements in the field of mathematical modeling. It will help the readers in keeping pace with the rapid changes in this field.