Computer Science

Everything in a computer is zeros and ones, and grasping this explains why numbers and text behave as they do.

Programming is your tool for applying every theoretical concept, so master it early.

Discrete math is the language of CS — logic, sets, and probability that everything builds on.

Choosing the right structure for your data separates a fast program from a painfully slow one.

Algorithms are recipes for solving problems, and mastering them makes you think methodically.

Big-O notation lets you predict code performance before running it — a hallmark of an engineer.

Understanding processor architecture helps you write hardware-aware code and avoid subtle bugs.

The OS manages all resources, and understanding it is key to writing efficient memory- and process-aware programs.

The internet powers everything, and understanding how data travels is essential for any modern developer.

Nearly every app stores data, and understanding databases and SQL is an indispensable skill.

Understanding multiple paradigms broadens your thinking and helps you pick the right tool per problem.

Theory answers deep questions: what is even computable, and what are a computer's limits?

Understanding how code becomes machine instructions lets you grasp your language from its roots.

Git is an essential skill for any developer working in a team or even solo on serious projects.

The best way to cement everything you learned is to build a real project that ties the concepts together.