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.
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伊利诺伊大学香槟分校
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
授课大纲 - 您将从这门课程中学到什么
Orientation; Linear Structures
Introduction to Tree Structures
Advanced Tree Structures
Heap Structures
审阅
- 5 stars83.79%
- 4 stars12.61%
- 3 stars2.39%
- 2 stars0.79%
- 1 star0.39%
来自ORDERED DATA STRUCTURES的热门评论
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.
Really good course, Makes you understand the intuition of the data structures pretty clear. The exams and assignment for week 4 seems a bit rushed, Could have been better
The lectures are good and elaborate. Some of the exercises are very confusing though. Overall a good introduction to data structures.
My favorite Coursera specialization! Responsive staff, lectures are very clear, assignments are both challenging and educational (closely related to lecture materials). Thank you!
关于 Accelerated Computer Science Fundamentals 专项课程
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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