Tutorials given as one of the TAs for the class "Algorithm Design and Analysis" at Nanjing University

My Solutions to basic Algorithms and Data Structures

Gebze Technical University - Computer Engineering Assignments

Breadth First Search & Depth First Search graph algorithms

This source code (in Python) is a preliminary implementation of my quadratic-time positive integer matrix multiplication.

Approximation Algorithm for the NP-Complete problem of finding a vertex cover of minimum weight in a graph with weighted vertices. Guarantees an answers at most 2 times the optimal minimum weighted vertex cover

Algorithm Design Solved Exercises

Some collection of codes that are used in data mining and data science related fields, developed by me

SmartChess is a Bluetooth enabled, smart Chessboard. SmartChess utilizes an integrated circuit to recognize where there are pieces on the board. That information is sent to the accompanying app, which provides the user with a live view of the board. The app can give hints, recommend moves, and enforces legal moves.

Actively solving LeetCode problems to enhance algorithmic skills and DSA knowledge. Consistently improving problem-solving abilities and preparing for competitive programming and technical interviews.

implementation of algorithm design

Sequence Alignment (Needleman–Wunsch Algorithm using Dynamic Programming) for aligning sequences (words, sentences, DNA etc.)

Greedy Algorithm to find the maximum number of mutually compatible jobs

Rock, Paper, Scissors is a simple game where two players choose one of three options: rock, paper, or scissors. The rules are: rock beats scissors, scissors beats paper, paper beats rock. If both choose the same option, it's a tie.

Python number guessing game: Computer picks a random number, user tries to guess it. Computer gives hints (too high/low). Repeat until correct. Add difficulty levels, limited tries, or scoring for more challenge.

📐 A desktop application practice and powered by JavaFx. (Curriculum design for algorithm)

Approximation Algorithm for the NP-Complete problem of balancing job loads on machines. Does not guarantee an optimal solution, but instead, a solution is within a factor of 1.5 of the optimal solution

Algorithms Analysis + Code in Python

Polynomial Multiplication using Karatsuba's Algorithm

Multi-pronged, multi-stage analysis of a 3.5M-sentences science fiction corpus using optimized NLP, with NER techniques, LDA modeling and LLM integration. After final commit, will be able to run a main file to generate a visualization of results on-demand. Modularized and documented code that can easily be reused/refitted for other kinds of corpii.