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.
Unordered Data Structures
This course is part of Accelerated Computer Science Fundamentals Specialization
Instructor: Wade Fagen-Ulmschneider
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There are 4 modules in this course
What's included
7 videos5 readings3 assignments1 programming assignment
What's included
6 videos2 readings2 assignments
What's included
5 videos1 reading2 assignments1 programming assignment
What's included
11 videos1 reading2 assignments
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Reviewed on Jul 14, 2021
It was a quick yet detailed intro to unordered data structures. A bit more advanced or difficult but very interesting. Enjoyed a lot.
Reviewed on Sep 2, 2020
Overall, great course. Slightly obscure challenges sometimes, but homeworks were awesome because of how well commented all the provided code was.
Reviewed on May 6, 2022
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.
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