Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
The theory of computation is often viewed as one of the most abstract areas of computer science, mostly reserved for university courses. Yet its ideas power much of modern software: from regular expressions and compilers to animation systems and game AI. This book aims to bridge the gap between the formal world of the theory of computation and the realities of everyday programming practice.
Written in a clear, approachable style, it introduces the essential concepts of automata, formal languages, and computability. Through examples and practical connections, readers will see how theoretical models translate into the tools and systems developers work with every day. The book is designed for both students, taking basic computer science courses, and practicing developers who want to understand the theory behind the technologies they use but are not ready to dive into a fully formal academic text.
Covering material aligned with the ACM/IEEE Computer Science Curricula, this book can serve both as a gentle textbook and a self-contained crash course for curious professionals. Striking a balance between rigor and intuition, it presents the theory of computation as a practical foundation of how software and computation really work.
Maxim Mozgovoy is a senior associate professor at the University of Aizu, Japan. He earned his PhD in Applied Mathematics from St. Petersburg State University and his PhD in Computer Science from the University of Joensuu. His main research interests are focused on educational technologies, natural language processing, and artificial intelligence for games and interactive environments. Maxim has a record of over 100 published papers and industrial-level software development experience. He is a co-founder of Helium9 Games studio, a regular reviewer for IEEE Transactions on Games and Entertainment Computing, and a program committee member of the IEEE Conference on Games, FedCSIS, Foundations of Digital Games, and other international conferences.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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