This text bridges the gap between introductory computer simulations and advanced research in statistical physics, while also providing a comprehensive introduction to computer algebra. The authors, drawing on extensive teaching experience, guide readers from simulating classical mechanical problems to exploring current research frontiers. The book emphasizes hands-on learning with exercises and programs for models like the Ising model, cellular automata, and percolation, aiming to empower students to develop their own code. A significant portion is dedicated to algebraic formula manipulation using the REDUCE system, offering a detailed course with practical examples and exercises, all without requiring prior programming language knowledge.

The book is structured as a series of lectures for beginners, designed to enable students to write their own programs through practical application. Its approach suggests a pedagogical focus, aiming to build foundational skills in computational physics and computer algebra. The inclusion of introductory programming languages in the appendix indicates an effort to make the material accessible to those without prior coding experience. The content covers a range of simulation models and algebraic manipulation techniques, pointing towards a comprehensive resource for students entering these fields.