Graph: Pengantar Disjoint Set & Minimum Spanning Tree
Learn graph theory concepts: disjoint sets & minimum spanning trees. Master algorithms for network optimization & connectivity.
Course Content
Graph: Pengantar Disjoint Set & Minimum Spanning Tree is a beginner-level Udemy course taught by Bina Nusantara University. It runs 1h 15m and is taught in English. Learners rate it 4.5 out of 5 from 5 reviews, with 526 students enrolled. It is free to enroll, first published October 2019.
Explore the fundamentals of graph algorithms and data structures with this comprehensive course on Disjoint Sets and Minimum Spanning Trees (MST). This course delves into implementing the Kruskal's algorithm for finding the minimum spanning tree using C programming.
Before diving in, a basic understanding of algorithms and discrete mathematics is beneficial. A graph is an abstract data structure composed of nodes (vertices) and edges that connect them. Graphs are powerful tools for representing relationships in various domains – think of maps, family trees, social networks, and even chat applications! This course will equip you with the knowledge to transform interconnected data effectively.
Here's what you'll learn:
- Disjoint Sets: Master the use and implementation of the disjoint set data structure with C/C++. Understand how this structure efficiently manages sets of elements.
- Minimum Spanning Tree (MST): Grasp the concept of the Minimum Spanning Tree problem and learn to implement Kruskal's algorithm to find the most cost-effective way to connect all nodes in a graph.
The course is structured into several modules:
- Introduction to Disjoint Sets: A foundational overview of disjoint sets.
- Disjoint Set Implementation in C: Practical implementation of disjoint sets using the C programming language.
- Disjoint Set Optimization: Techniques to enhance the efficiency of disjoint set operations.
- Introduction to Minimum Spanning Tree: Understanding the core concepts of MSTs.
- Minimum Spanning Tree Implementation in C: Coding Kruskal's algorithm in C to solve MST problems.
By the end of this course, you will be able to:
- Comprehend the fundamental concepts of data structures and their applications in computer science.
- Visualize and explain the use of learned data structures in practical applications.
- Apply data structures effectively using C programming.
- Gain a solid understanding of Minimum Spanning Trees.
- Implement Kruskal's algorithm to determine the minimum spanning tree for a given graph.
Want AI in your product? Hire the team behind TutorialSearch.io
LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.