About the Course
This course provides a complete introduction to Graph Theory algorithms in computer science.
Topics covered in these videos include: how to store and represent graphs on a computer; common graph theory problems are seen in the wild; famous graph traversal algorithms (DFS & BFS); Dijkstra’s shortest path algorithm (both the lazy and eager version); what a topological sort is, how to find one, and places it’s used; learning about detecting negative cycles and finding shortest paths with the Bellman-Ford and Floyd-Warshall algorithms; discovering bridges and articulation points in graphs; understanding and detecting strongly connected components with Tarjan’s algorithm, and finally solving the traveling salesman problem with dynamic programming.
Who this course is for?
Anybody ready for a deep dive into graph theory!
- Exposure to computer science fundamentals (e.g: data structures, recursion, data types, classes, OOP)
- Some prior programming knowledge
What will you learn?
- Storage and representation of graphs (networks) on a computer
- Common graph theory problems
- Breadth-first search algorithm
- Depth-first search algorithm
- Dijkstra’s algorithm
- Topological sort algorithm
- Shortest/longest path on an acyclic graph
- Bellman Ford’s algorithm
- Floyd-Warshall all pairs shortest path algorithm
- Finding bridges/articulation points
- Finding strongly connected components (Tarjan’s)
- Traveling salesman problem (TSP)
To enroll in this course, click the link below.
Note: NoticeBard is associated with Simpliv through an affiliate programme.