Graph Theory Algorithms

Graph Theory Algorithms

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    Overview

    Learn how to apply graph theory to solve problems and take your career to the next level with complex specialist skills!

    This course is the perfect introduction to graph theory for those looking to establish a career in the field of computer science. It explores how graphs are used in data science in detail, covering common graph theory problems, famous graph traversal algorithms, and much more, with step-by-step guidance on how to store and represent graphs on a computer.

    If you are looking to become a data scientist, computer programmer, or analytical chemist, then this course is the perfect stepping stone to a successful career in these fields. The Graph Theory Algorithms course is a fully accredited online qualification ideal for data science graduates.

    Why People Love and Enrol the Graph Theory Algorithms Course from One Education

    • Eligibility for an IAO & CPD-accredited certificate on successful completion of Introduction to Data Analytics with Tableau Course
    • Learning materials of our Introduction to Data Analytics with Tableau course contains engaging voiceover and visual elements for your comfort
    • Freedom to study at your own pace
    • 24/7 access to the Introduction to Data Analytics with Tableau course materials for 12 months
    • Full Tutor support on weekdays (Monday – 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

    Will I receive a certificate of completion?

    Upon successful completion, you will qualify for the UK and internationally-recognized professional qualification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hard Copy Certificate for £15.

    Why study this course

    Whether you’re an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge.

    The Graph Theory Algorithms is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to 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 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
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