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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University of Illinois Urbana-Champaign
University of California San Diego
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Reviewed on Mar 9, 2021
Excellent Course really helpful and exercises enjoyable exercises!!!Very good teacher!5 star(You need to know C++ in advance).
Reviewed on May 28, 2020
Hard topics nicely explained. Wish the lectures cover more content. The assignments were a bit too straightforward.
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.
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