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.
Acerca de este Curso
- 5 stars79,87 %
- 4 stars14,28 %
- 3 stars4,22 %
- 2 stars0,60 %
- 1 star1 %
Principales reseñas sobre UNORDERED DATA STRUCTURES
Good class. I'm still a little mixed on the approach where the student just supplies a small amount of code in a large (mostly complete) class. Nevertheless, enjoyed.
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.
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.
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!
Acerca de Programa especializado: Accelerated Computer Science Fundamentals
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