Posts
All the articles I've posted.
CS3016/10. Implementing algorithms from geometry problems and large data sets
Published: 3.5 hours readExplore and implement classic algorithms from computational geometry and data-intensive problems. Emphasis on real-world applications and scalable solutions.
CS3016/03. Implement approximate algorithm techniques for Vertex Cover and Steiner Tree problems.
Updated: 3 hours readLearn and implement approximation algorithms for NP-hard problems like Vertex Cover and Steiner Tree. Understand their practical importance, strategies, and performance guarantees.
CS3014/01. Introduction | Application Development Tools
Updated: 2 hours readIntroduction to ASP.NET Web Framework, a web framework for building modern web apps and services with .NET.
CS3014/02. Basic Application | Application Development Tools
Updated: 2 hours readBuild a web-based TODO list using ASP.NET Core MVC and C#.
CS3014/03. Master Page and Modularity | Application Development Tools
Published: 2 hours readDevelop master pages and user controls for modularity and consistent UI design.
CS3014/04. Object Oriented Programming | Application Development Tools
Published: 2 hours readApply OOP principles in C# with design patterns for robust software architecture.
CS3014/05. Validation Controls | Application Development Tools
Published: 2 hours readImplement ASP.NET validation controls for multi-layered data integrity enforcement.
CS3016/02. Program graph theory reductions among clique, vertex cover, and independent set problems.
Updated: 4 hours readTo understand and implement polynomial-time reductions among the Clique, Vertex Cover, and Independent Set problems, which are fundamental in computational complexity and NP-completeness.
CS3016/01. Implement divide-and-conquer algorithms for binary search, merge sort, and quick sort.
Published: 4 hours readTo understand and implement divide-and-conquer algorithms - Binary Search, Merge Sort, and Quick Sort, and analyze their time and space complexities.
CSPCC5002. Notes - Machine learning
Updated: 4 hours readThese notes provide a detailed yet concise overview of the topics in Machine Learning as per the syllabus