MrComputerScience.com
Blog For Marketing And Tech Nerds
Computer science fundamentals give you the foundation needed to understand programming, algorithms, systems, and software at a deeper level. In this category, I write about core concepts, learning strategies, technical problem solving, and the mental models that help developers grow faster.
I am especially interested in helping readers move beyond scattered tutorials and build real understanding that lasts. If you are teaching yourself computer science, strengthening the basics, or trying to level up as a developer, this category is designed to help.
Browse the articles below to build a stronger computer science foundation.
Recursion is uncomfortable because it requires trusting that a function works before you have seen it work. Most beginners want to trace every step of execution, and recursive calls multiply those …
Continue Reading about Why Do Self-Taught Developers Skip Recursion and What Happens? →
Self-taught developers learn to build things. Algorithms courses teach you to analyze things. These are different skills built on different foundations. Most self-taught developers hit the algorithms …
Continue Reading about Why Do Self-Taught Developers Struggle With Algorithms and Data Structures? →
The most effective self-taught CS curriculum follows the same foundational sequence as an MIT computer science degree: computation theory, programming fundamentals, mathematics, algorithms, systems, …
Continue Reading about What MIT OpenCourseWare Curriculum Should You Follow to Self-Teach CS? →
I’m going to be honest: math has never been my strong suit. As a systems programmer and algorithmic coder, I often feel like a moron when staring at combinatorics, permutations, or probability. I can …
Continue Reading about Password Permutation Logic (password hardening) →
