Advanced Algorithms Course Introduction

In this video, I provide an overview to the Advanced Algorithms course. This is the second course in a two-part series. The first course is Introduction to Algorithms.
This course will provide a solid foundation and background to design and analysis of algorithms. In particular, upon successful completion of this course, students will be able to understand, explain and apply key algorithmic concepts and principles including the following ones:
• Greedy algorithms (Activity Selection, 0-1 Knapsack Problem, Fractional Knapsack Problem)

• Dynamic programming (Longest Common Subsequence, 0-1 Knapsack Problem)
• Minimum Spanning Trees (Prim’s Algorithm, Kruskal’s Algorithm)
• Graph Algorithms (Dijkstra’s Shortest Path Algorithm, Bipartite Graphs, Minimum Vertex Cover)
• Theory of NP and NP-completeness
If you want to obtain a certification and a Introduction to Algorithms Foundations badge from the State University of New York Binghamton based on the videos in this channel, please visit the link. For obtaining the certification, you will need to pass a multiple choice final exam based on these videos. The course also contains self-assessment quizzes to help you prepare for the finals and for obtaining the certificate.
www.binghamton...
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