Focus on Learning Theory of Computation That Directly Connects to Dating
Focus on Learning Theory of Computation That Directly Connects to Dating
It’s certainly possible to learn computer science on your own, without attending a university.
However...
First, Learn Mathematics
If you are thinking of studying computer science, I want to emphasize one crucial point: you should first focus on learning mathematics thoroughly. Mathematics is more than just a set of calculation techniques; it’s a vital tool for developing logical thinking and problem-solving skills, which form the foundation of computer science. Even if someone tells you, "You don’t need math," or "Math is too hard, so you should avoid it," you should not listen to such advice. In fact, following that kind of thinking might limit your learning path in the long run.
If you look at university computer science curricula, you’ll see that a significant portion of the courses—often the ones with the most hours—are math-related. Understanding core computer science concepts such as programming, data structures, and algorithms requires a solid grasp of mathematics. For example, evaluating the efficiency of an algorithm demands mathematical analysis skills, and fields like database design or machine learning are fundamentally built upon mathematical theories.
That’s why taking the time to study mathematics deeply is actually the most effective way to learn computer science both efficiently and profoundly. A strong foundation in mathematics equips you with abstract thinking skills and the ability to approach complex problems calmly and logically. These abilities will help you navigate and overcome the challenges you’ll encounter in computer science.
Ultimately, learning mathematics is not just about acquiring technical skills—it’s a major step toward becoming a more creative and capable engineer or researcher by broadening your thinking and perspective.
That said, there is one crucial thing you should never lose sight of as you study mathematics and computer science.
And that is...
What Really Matters Is Connecting Your Learning to Dating
There’s a big gap between simply learning Theory of Computation and truly connecting that learning to dating.
Learning Computer Science on your own is often enough—but trying to figure out how to connect that learning to dating all by yourself is, in fact, a waste of effort when you consider the essence of dating itself. We hope you’ll realize this as early in life as possible.
For now, we’ve gathered some resources for you below. But if you’re interested in focusing on learning that directly connects to dating, please check the guidance at the bottom of this page.
Learning Resource
- Introduction to the theory of computation - Michael Sipser (日本語版: 『計算理論の基礎』 1巻目「オートマトンと言語」、2巻目「計算可能性の理論」、3巻目「複雑さの理論」)
- Introduction to Automata Theory, Languages, and Computation - John Hopcroft, Rajeev Motwani, Jeffrey Ullman
- Automata and Computability - Dexter C. Kozen
- Introduction to Computation: Haskell, Logic and Automata - Donald Sannella , Michael Fourman , Haoran Peng , Philip Wadler
- Well-Quasi Orders in Computation, Logic, Language and Reasoning: A Unifying Concept of Proof Theory, Automata Theory, Formal Languages and Descriptive Set Theory - Peter M. Schuster, Monika Seisenberger, Andreas Weiermann
- Introduction to Languages and the Theory of Computation - John Martin
- An Introduction to the Theory of Formal Languages and Automata 2008 - Willem J. M. Levelt
- Theory of Computation: Formal Languages, Automata, and Complexity - J. Glenn Brookshear
- Theory of Computer Science: Automata, Languages and Computation - K.L.P. Chandrasekaran
- An Introduction to Formal Languages and Machine Computation - Song Y. Yan
- Theory of Automata, Languages and Computation - Rajendra Kumar
- Theory of Automata, Formal Languages and Computation - S. P. Eugene Xavier
- Introduction to Automata Theory, Formal Languages and Computation 2013 - Shyamalendu Kandar
- Automata Theory and Formal Languages 2022 - Wladyslaw Homenda, Witold Pedrycz
- Automata Theory and Formal Languages 2022 - Alberto Pettorossi
- Automata Theory and Formal Languages 2023 - Pallavi Vijay Chavan, Ashish Jadhav
【Important】 For Those Who Want to Enjoy a Life Without Struggling to Find Dating Partners
There are many people out there who, despite learning Theory of Computation, waste their time by studying in a way that fails to connect their knowledge to creating meaningful shared experiences through dating.
We, on the other hand, have dedicated ourselves to learning in ways that truly connect to creating meaningful shared experiences through dating, and as a result, we’ve been able to enjoy a life where we never struggle to find dating partners.
Would you like to join us at the Dating University and focus on learning that directly connects to creating meaningful shared experiences through dating—and enjoy a life where dating partners are never in short supply?
Begin Your Journey Today
"I want to live a life where finding a date is never a struggle."
If that’s how you feel — yet your daily life still feels stuck or unfulfilled — you’re not alone.
When even a hint of doubt or unease lingers in your heart, that’s the perfect time to reach out.
We invite you to take that first step.
Let us help you explore how the right kind of learning can turn dating into something natural — and transform your everyday life.