Graph Theory Algorithms

4.8 Rating

(9 Reviews)

0 Students

Last updated: January 13, 2025
|
Language: English
|
Flexible Schedule

Explore the fascinating world of Graph Theory Algorithms, where logic and problem-solving converge to tackle some of the most complex challenges in mathematics and computer science. This course takes you step-by-step through critical aspects of graph theory, whether you’re intrigued by how networks function or looking to deepen your understanding of algorithms. From foundational concepts like Depth First Search and Breadth First Search to advanced topics such as Dijkstra’s Shortest Path Algorithm and the Travelling Salesman Problem, you’ll dive into an extensive range of strategies designed to solve graph-related problems. Master Graph Theory Algorithms by engaging with essential techniques, exploring the dynamics of trees and topological sorting, and navigating through shortest paths, network flows, and spanning trees. With an emphasis on theoretical knowledge, this course ensures that your grasp of Graph Theory Algorithms will be both comprehensive and enduring, empowering you to apply these concepts to a wide range of abstract challenges.

Learning Outcomes

  • Understand key concepts and algorithms in graph theory.
  • Analyze complex graph structures and find optimal solutions.
  • Apply shortest path algorithms to diverse problems.
  • Explore the structure and properties of trees and their applications.
  • Learn various network flow algorithms and their theoretical foundations.
  • Solve classic problems like the Travelling Salesman Problem with dynamic programming.

Why buy Graph Theory Algorithms course?

  1. Unlimited access to the course for forever
  2. Digital Certificate, Transcript, student ID all included in the price
  3. Absolutely no hidden fees
  4. Directly receive CPD accredited qualifications after course completion
  5. Receive one to one assistance on every weekday from professionals
  6. Immediately receive the PDF certificate after passing
  7. Receive the original copies of your certificate and transcript on the next working day
  8. Easily learn the skills and knowledge from the comfort of your home

Certification

After studying the course materials of the Graph Theory Algorithms there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8.

Who is this Graph Theory Algorithms for?

  • Students of computer science or mathematics.
  • Programmers looking to enhance their algorithmic knowledge.
  • Researchers working with complex networks.
  • Enthusiasts interested in algorithms and graph theory.
  • Professionals dealing with optimization problems.
  • Individuals seeking to improve problem-solving techniques in graph-related challenges.

Prerequisites

This Graph Theory Algorithms does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Graph Theory Algorithms was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

  • Data Scientist: £30,000 to £65,000 per year
  • Algorithm Engineer: £40,000 to £80,000 per year
  • Software Developer: £28,000 to £55,000 per year
  • Research Scientist (Computer Science): £35,000 to £70,000 per year
  • Operations Research Analyst: £30,000 to £60,000 per year
  • Machine Learning Engineer: £45,000 to £85,000 per year

Course Curriculum

Module 01: Introduction
Introduction 00:14:00
Module 02: Common Problem
Common Problem 00:10:00
Module 03: Depth First Search
Depth First Search 00:11:00
Module 04: Breadth First Search
Breadth First Search 00:10:00
Module 05: Breadth First Search Shortest Path on a Grid
Breadth First Search Shortest Path on a Grid 00:19:00
Module 06: Trees
Storage and Representation of Trees 00:10:00
Beginner Tree Algorithms 00:10:00
Rooting Tree 00:05:00
Center(s) of a Tree 00:06:00
Isomorphisms in Trees 00:11:00
Isomorphisms in Trees Source Code 00:10:00
Lowest Common Ancestor 00:11:00
Module 07: Topological Sort
Topological Sort 00:14:00
Shortest and Longest Paths on DAGs 00:10:00
Khan’s Algorithm 00:13:00
Module 08: Dijkstra
Dijkstra’s Shortest Path Algorithm 00:25:00
Dijkstra’s Shortest Path Algorithm Source Code 00:09:00
Module 09: Bellman-Ford Algorithm
Bellman-Ford Algorithm 00:15:00
Module 10: Floyd-Warshall Algorithm
Floyd-Warshall Algorithm 00:16:00
Floyd-Warshall Algorithm Source Code 00:09:00
Module 11: Bridge and Algorithm Points
Algorithm to Find Bridges and Articulation Points 00:20:00
Algorithm to Find Bridges and Articulation Points Source Code 00:09:00
Module 12: Tarjan Algorithm
Tarjan’s Algorithm for Finding Strongly Connected Components 00:17:00
Tarjan’s Algorithm for Finding Strongly Connected Components Source Code 00:07:00
Module 13: Travelling Salesman Problem (TSP)
Travelling Salesman Problem (TSP) with Dynamic Programming 00:21:00
Travelling Salesman Problem (TSP) with Dynamic Programming Source Code 00:14:00
Module 14: Eulerian Paths and Circuits
Existence of Eulerian Paths and Circuit 00:10:00
Finding Eulerian Paths and Circuits 00:16:00
Eulerian Paths Source Code 00:08:00
Module 15: Prim’s Minimum Spanning Tree Algorithm
Prim’s Minimum Spanning Tree Algorithm (Lazy Version) 00:15:00
Prim’s Minimum Spanning Tree Algorithm ( Eager Version) 00:15:00
Prim’s Minimum Spanning Tree Algorithm Source Code ( Eager Version) 00:09:00
Module 16: Network Flow
Max Flow Ford-Fulkerson Method 00:13:00
Max Flow Ford-Fulkerson Method Source Code 00:17:00
Network Flow: Unweighted Bipartite Graph Matching 00:11:00
Network Flow: Mice and Owls 00:08:00
Network Flow: Elementary Math 00:11:00
Network Flow: Edmond-Karp Algorithm Source Code 00:06:00
Network Flow: Edmond-Karp Algorithm Source Code 00:10:00
Network Flow: Capacity Scaling 00:10:00
Network Flow: Capacity Scaling Source Code 00:06:00
Network Flow: Dinic’s Algorithm 00:12:00
Network Flow: Dinic’s Algorithm Source Code 00:09:00
Graph Theory Algorithms
Original price was: $557.70.Current price is: $26. ex Vat

Exclusive Deal! 95% Off, Today Only!

Add to Cart
🔥 10 Units sold in last 6 Hours
cpdy aoht Qlc

This course includes:

  • level Skill Level
  • course_duration Duration
    8 hours, 32 minutes
  • studentsStudents
    0 Students