The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.
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来自UNORDERED DATA STRUCTURES的热门评论
Good class. I'm still a little mixed on the approach where the student just supplies a small amount of code in a large (mostly complete) class. Nevertheless, enjoyed.
Great Teacher, although there are still a lot that I need to learn on my own(I come from non-CS background), after hereing these lectures, I feel that I have already learnt a ton.
It was a quick yet detailed intro to unordered data structures. A bit more advanced or difficult but very interesting. Enjoyed a lot.
An insanely good course in which the instructors and professors put in the maximum possible amount of work for the student's benefit and clarity. Learnt a ton!
关于 Accelerated Computer Science Fundamentals 专项课程
Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.