The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).
About this Course
Skills you will gain
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
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TOP REVIEWS FROM GRAPH SEARCH, SHORTEST PATHS, AND DATA STRUCTURES
Tim really did an awesome job preparing the lectures for this course. Material was presented quickly, efficiently, and engagingly. I highly recommend this class.
Very useful information for thorough programmers. Especially liked analysis of hash tables implementation and handling collisions in real applications.
I like the handwritten slides during the lecture. It reminds me of actually sitting in class and the professor developing the material on the chalk board live. Very cool.
This is an excellent course. Though the assignments are quite challenging, it is rewarding to complete them. Professor Roughgarden's explanations are wonderful.
About the Algorithms Specialization
Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.
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