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.
本课程是 Accelerated Computer Science Fundamentals 专项课程 专项课程的一部分
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伊利诺伊大学香槟分校
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授课大纲 - 您将从这门课程中学到什么
Orientation; Hashing
Disjoint Sets
Graph Data Structures
Graph Algorithms
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来自UNORDERED DATA STRUCTURES的热门评论
A lot of new concepts learned. However I would have like to do more programming, exploring more features of C++. Changing only one or two lines of an existing code does not help much in our learning.
Overall, great course. Slightly obscure challenges sometimes, but homeworks were awesome because of how well commented all the provided code was. Instructor and videos were also amazing!
Could have been a bit more explanatory for people not from CS background. Typos and mistakes should have been eliminated to the largest possible extent. Leaving these aside, nice course.
This course had good coverage on hashing, disjoint sets, graphs. This course will improve coding skills. I'm happy with material, coding practices, quiz and projects.
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.
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