In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.
Ordered Data Structures
Ordered Data Structures
This course is part of Accelerated Computer Science Fundamentals Specialization
Instructor: Wade Fagen-Ulmschneider
Sponsored by Coursera Learning Team
32,391 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(913 reviews)
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
91%
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Assessments
9 assignments
Taught in English
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This course is part of the Accelerated Computer Science Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
What's included
6 videos6 readings3 assignments1 programming assignment
What's included
5 videos1 reading2 assignments
What's included
5 videos1 reading2 assignments1 programming assignment
What's included
5 videos1 reading2 assignments
Instructor
Instructor ratings
4.8 (187 ratings)Offered by
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4.8
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DA
5
Reviewed on Apr 10, 2020
This is one of the best courses I have studied so far, the instructor's way is very easy to understand yet provides in-depth understanding of the material.
WQ
5
Reviewed on Dec 16, 2021
Very good course, the professor can taught key concept of basic data structure in these short videos very well. Those exercises are also very helpful.
FI
4
Reviewed on Jan 22, 2021
The material covered is explained very well, but it feels like these UIUC courses are light in terms of total material per course.
Recommended if you're interested in Computer Science
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