The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).
This course is part of the Algorithms Specialization
Offered By
About this Course
Skills you will gain
- Data Structure
- Algorithms
- Np-Completeness
- Dynamic Programming
Offered by
Syllabus - What you will learn from this course
Week 1
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Week 4
Reviews
- 5 stars85.38%
- 4 stars12.83%
- 3 stars1.14%
- 2 stars0.50%
- 1 star0.12%
TOP REVIEWS FROM SHORTEST PATHS REVISITED, NP-COMPLETE PROBLEMS AND WHAT TO DO ABOUT THEM
This challenging course improves understanding of algorithms and is intellectually stimulating. I learnt the theory behind algorithms and how they are applied to solve real world problems.
Great Pace - good examples - always going to the point - clear and providing good information.
This is the most challenging course in this specialization. Assignments as well as test questions require good amount of thinking.
One of the best courses I did on Coursera.
I am very confident in the skills I learned. I have read some books on algorithms but this course makes the application so clear regardless of your programing language.
About the Algorithms Specialization

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