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Graph Theory Algorithms
CPDUK Accredited | 50% OFF Certificate & Transcript
6 Students enrolled on this course 4.7 (7 Reviews)
Last updated July 27, 2021
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Register on the Graph Theory Algorithms today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.
The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.
Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion.
The Graph Theory Algorithms is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.
The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!
What You Get With The Graph Theory Algorithms
- Receive a e-certificate upon successful completion of the course
- Get taught by experienced, professional instructors
- Study at a time and pace that suits your learning style
- Get instant feedback on assessments
- 24/7 help and advice via email or live chat
- Get full tutor support on weekdays (Monday to Friday)
Course Design
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
- Video lessons
- Online study materials
Certification
After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.
Who Is This Course For:
The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.
Requirements:
The online training is open to all students and has no formal entry requirements. To study the Graph Theory Algorithms, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.
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 | 00:08:00 | ||
| Module 05: Breadth First Search Shortest Path on a Grid | |||
| Breadth First Search Shortest Path on a Grid | 00:17:00 | ||
| 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 | 00:17:00 | ||
| 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 Source Code | 00:09:00 | ||
| Dijkstra’s Shortest Path Algorithm | 00:25:00 | ||
| 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 | ||
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Frequently asked questions
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There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course.
You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience.
For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.
Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks.
We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.
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