Learning-Computer-Science

Dedicated to tracking my self-driven journey in computer science. This repository will document my exploration of programming fundamentals, data structures, algorithms, and advanced topics like AI

My Learning Journey in Computer Science

I am passionate about how computers work, artificial intelligence, and problem-solving. My goal is to build a strong foundation for future university studies in Computer Science and Information Technology, with aspirations in areas like Quality Assurance Engineering, Data Science, Software Engineering, Machine Learning, and AI creation.

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📂 My Project Portfolio

All source code is strictly organized by language for easy review:

• Python: Found in the projects/pysrc directory.
• C/C++: Found in the projects/csrc directory.

Featured Project: Currently exploring fundamental logic with projects like a ​Cipher Solver (Demonstrates string manipulation and algorithmic thinking) and a Card Validation script (Demonstrates the Luhn Algorithm).

My Learning Focus Areas:

• Programming Fundamentals: Getting to grips with core programming concepts and logic.
• Problem-Solving: Developing my skills in breaking down and solving complex problems using computational thinking.
• Data Science Basics: Exploring how data can be collected, analyzed, and used.
• Artificial Intelligence Concepts: Understanding the foundations of AI and machine Learning.

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Future Goals:

• To apply concepts by consistently building, documenting, and publishing small projects.
• To contribute to open-source projects (when ready!).
• To prepare thoroughly for university-level Computer Science.
• To transition into Data Science and AI concepts (like Linear Algebra and simple Classification models) later this year to bridge my current Python skills with my career aspirations.

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Thank you for visiting my learning space!