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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來自UNORDERED DATA STRUCTURES的熱門評論
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.
Great course! Very interesting lecture material / content. I can't give this course a five however, as the assignments seem unnecessarily convoluted, and abstracted to demonstrate the material.
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.
關於 Accelerated Computer Science Fundamentals 專項課程
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.