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
About this Course
Skills you will gain
- Data Structure
- Dynamic Programming
Syllabus - What you will learn from this course
- 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 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.
Thanks a lot. It is time consuming, need a lot of thinking and practising to finish the homework. And it is worth taking. After this, we can go deep into cs.
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.
Great course, great explanation from instructor. I loved how Tim Roughgarden explains algorithms. Course Load was just right for me. Great experience!
About the Algorithms Specialization
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