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
Hope the professor could teach more about hashing and give a detailed implementation of some data structures or supply some interface template code.
Tim really did an awesome job preparing the lectures for this course. Material was presented quickly, efficiently, and engagingly. I highly recommend this class.
Learning algorithms is a must for all computer scientists. This course propels you on the path and kindles the spirit of inquiry and knack for finding better solutions.
Good course, but instructor does start to move fast and a few walk-throughs in certain spots would be beneficial . However the lack of it makes you do your own research, which is also beneficial.
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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