Key Information
About the content
The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).
Syllabus
- Week 1 - Week 1
Two motivating applications; selected review; introduction to greedy algorithms; a scheduling application; Prim's MST algorithm. - Week 2 - Week 2
Kruskal's MST algorithm and applications to clustering; advanced union-find (optional). - Week 3 - Week 3
Huffman codes; introduction to dynamic programming. - Week 4 - Week 4
Advanced dynamic programming: the knapsack problem, sequence alignment, and optimal binary search trees.
Instructors
Tim Roughgarden
Professor
Computer Science
Content Designer
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
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