Overview
This comprehensive course on Computer Science: Graph Theory Algorithms will deepen your understanding on this topic.
After successful completion of this course you can acquire the required skills in this sector. This Computer Science: Graph Theory Algorithms comes with accredited certification, which will enhance your CV and make you worthy in the job market.
So enrol in this course today to fast track your career ladder.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is This course for?
There is no experience or previous qualifications required for enrolment on this Computer Science: Graph Theory Algorithms. It is available to all students, of all academic backgrounds.
Requirements
Our Computer Science: Graph Theory Algorithms is fully compatible with PC’s, Mac’s, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.
There is no time limit for completing this course, it can be studied in your own time at your own pace.
Career Path
Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc.
Course Curriculum
- 18 sections
- 45 lectures
- 8 hours, 37 minutes total length
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Promo 00:03:00
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Introduction 00:14:00
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Common Problem 00:10:00
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Depth First Search 00:11:00
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Breadth First Search 00:08:00
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Breadth First Search Shortest Path on a Grid 00:17:00
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Storage and Representation of Trees 00:10:00
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Beginner Tree Algorithms 00:10:00
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Rooting Tree 00:05:00
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Center(s) of a Tree 00:06:00
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Isomorphisms in Trees 00:11:00
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Isomorphisms in Trees Source Code 00:10:00
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Lowest Common Ancestor 00:17:00
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Topological Sort 00:14:00
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Shortest and Longest Paths on DAGs 00:10:00
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Khan’s Algorithm 00:13:00
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Dijkstra’s Shortest Path Algorithm 00:25:00
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Dijkstra’s Shortest Path Algorithm Source Code 00:09:00
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Bellman-Ford Algorithm 00:15:00
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Floyd-Warshall Algorithm 00:16:00
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Floyd-Warshall Algorithm Source Code 00:09:00
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Algorithm to Find Bridges and Articulation Points 00:20:00
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Algorithm to Find Bridges and Articulation Points Source Code 00:09:00
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Tarjan’s Algorithm for Finding Strongly Connected Components 00:17:00
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Tarjan’s Algorithm for Finding Strongly Connected Components Source Code 00:07:00
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Travelling Salesman Problem (TSP) with Dynamic Programming 00:21:00
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Travelling Salesman Problem (TSP) with Dynamic Programming Source Code 00:14:00
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Existence of Eulerian Paths and Circuit 00:10:00
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Finding Eulerian Paths and Circuits 00:16:00
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Eulerian Paths Source Code 00:08:00
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Prim’s Minimum Spanning Tree Algorithm (Lazy Version) 00:15:00
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Prim’s Minimum Spanning Tree Algorithm ( Eager Version) 00:15:00
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Prim’s Minimum Spanning Tree Algorithm Source Code ( Eager Version) 00:09:00
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Max Flow Ford-Fulkerson Method 00:13:00
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Max Flow Ford-Fulkerson Method Source Code 00:17:00
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Network Flow: Unweighted Bipartite Graph Matching 00:11:00
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Network Flow: Mice and Owls 00:08:00
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Network Flow: Elementary Math 00:11:00
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Network Flow: Edmond-Karp Algorithm 00:06:00
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Network Flow: Edmond-Karp Algorithm Source Code 00:10:00
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Network Flow: Capacity Scaling 00:10:00
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Network Flow: Capacity Scaling Source Code 00:06:00
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Network Flow: Dinic’s Algorithm 00:12:00
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Network Flow: Dinic’s Algorithm Source Code 00:09:00
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This course includes:
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Duration:8 hours, 37 minutes
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Access:1 year access
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Units:45
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Level:
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CPD Points:10
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Certificate:Yes
