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.
Informações sobre o curso
Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-Champaign
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- 5 stars79,61%
- 4 stars14,37%
- 3 stars4,50%
- 2 stars0,64%
- 1 star0,85%
Principais avaliações do UNORDERED DATA STRUCTURES
It was a quick yet detailed intro to unordered data structures. A bit more advanced or difficult but very interesting. Enjoyed a lot.
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.
The final course of this specialization, really useful, and I learned a lot. Just need more practices to understand some difficult concept.
Excellent course for reviewing important materials related to DSU and Graphs. The assignments are well documented and easy to understand.
Sobre Programa de cursos integrados Accelerated Computer Science Fundamentals
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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