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).
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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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- 4 stars11.60%
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GRAPH SEARCH, SHORTEST PATHS, AND DATA STRUCTURES의 최상위 리뷰
There is very little hand-holding in this course and no code provided. This really challenges you to implement the ideas taught in the most efficient and appropriate manner possible.
One of the greatest courses on this website. However, I believe this course will be more approachable if it contains more practical guide such as sample solution for algorithms.
Interesting problems and explanations. But mathematical analysis is going off of my mind. It has very good explanation. Not sure, whether I can carry forward that knowledge or not.
Excellent video lectures. Great forums that discuss the problems and programming assignments. Challenging material, with satisfying rewards on finding solutions.
알고리즘 특화 과정 정보
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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