Computer Science / Algorithms
CS50x CS Solutions & Problem Sets
Algorithmic problem sets, data structure implementations, and low-level memory management solutions for Harvard University CS50x.
Problem Statement
Mastering fundamental computer science requires building algorithmic efficiency intuitions, managing memory at the byte level in compiled languages, and designing modular systems.
Methodology & Implementation
Solved and documented all problem sets across Harvard University premier introductory computer science program. Implementations explore pointer arithmetic, manual heap allocation with malloc/free, asymptotic complexity analysis (Big-O), binary search trees, hash tables, and full-stack web integration.
Technical Architecture Highlights
- Low-level C implementations: memory leak audits using valgrind, bitwise manipulation, and custom hash collision handling
- Sorting algorithm comparative benchmarking: Merge Sort, Quick Sort, Bubble Sort, and Selection Sort
- Modular transition from low-level systems programming in C to modern scripting in Python and database design with SQL
Results & Evaluation
01.29+ stars on GitHub from international students studying CS50x problem sets
02.Clean, thoroughly commented source code with asymptotic complexity annotations
03.Awarded the official Harvard CS50x Verified Certificate of Completion
Technologies & Tools
#C#Python#SQL#Algorithms#Data Structures#Linux CLI