Thinking Probabilistically

An introductory textbook on disordered systems and stochastic processes by Ariel, published with Cambridge University Press, is now available for purchase in digital and print formats (link).

See the table of contents: TOC and short description below.
For (known) typos, press here.
Course instructors interested in obtaining solutions for problems in the book are welcome to get in touch.
Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modelling and random processes, using examples from all these disciplines and more.
The reader learns via case studies and begins to recognise the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialised texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion - includes Markov processes and Random walks, Langevin and Fokker-Planck equations, Noise, Generalized Central Limit Theorem and Extreme Values Statistics, Random matrix theory, and Percolation theory.