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 HKUST
32,430 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(914 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.
AL
5
Reviewed on Mar 4, 2021
Nice course, challenging. A little bit dense and fast though. But I learned a lot of things for a person who has no computer science background.
MC
4
Reviewed on Jul 26, 2020
It covers a lot of material in a short span of time, so retention is key. Make sure to take a lot of notes and give yourself some time to really process all the material from each week.
Recommended if you're interested in Computer Science
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