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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课程信息
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第 2 门课程（共 3 门）
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完成时间大约为19 小时
英语（English）
字幕：英语（English）
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 3 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为19 小时
英语（English）
字幕：英语（English）
提供方
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.
教学大纲 - 您将从这门课程中学到什么
完成时间为 8 小时
Orientation; Linear Structures
完成时间为 8 小时
6 个视频 （总计 64 分钟）, 6 个阅读材料, 4 个测验
6 个视频
1.1 Arrays11分钟
1.2 Linked Memory11分钟
1.3 Run Time Analysis13分钟
1.4 Array and List Operations10分钟
1.5 Queue (Data Structure)8分钟
1.6 Stack (Data Structure)8分钟
6 个阅读材料
Syllabus10分钟
Additional References for C++10分钟
Week 1 Overview10分钟
Downloading the Example C++ Source Code for Lecture with Git15分钟
Important Tips and Notes for All Challenge Problems10分钟
Guidelines for Asking for Help With Code10分钟
3 个练习
Orientation Quiz5分钟
Week 1 Quiz30分钟
Week 1 Challenge30分钟
完成时间为 2 小时
Introduction to Tree Structures
完成时间为 2 小时
5 个视频 （总计 54 分钟）, 1 个阅读材料, 2 个测验
5 个视频
2.2 Binary Trees8分钟
2.3 Tree Traversals8分钟
2.4 Binary Search Trees19分钟
2.5 BST Analysis9分钟
1 个阅读材料
Week 2 Overview10分钟
2 个练习
Week 2 Quiz30分钟
Week 2 Challenge30分钟
完成时间为 7 小时
Advanced Tree Structures
完成时间为 7 小时
5 个视频 （总计 34 分钟）, 1 个阅读材料, 3 个测验
5 个视频
3.1.2 AVL Analysis8分钟
3.2.1 B-Tree Introduction3分钟
3.2.2 B-Tree Insert7分钟
3.2.3 B-Tree Search4分钟
1 个阅读材料
Week 3 Overview10分钟
2 个练习
Week 3 Quiz30分钟
Week 3 Challenge30分钟
完成时间为 2 小时
Heap Structures
完成时间为 2 小时
5 个视频 （总计 30 分钟）, 1 个阅读材料, 2 个测验
5 个视频
4.2 Heap Insert6分钟
4.3 Heap - RemoveMIN5分钟
4.4 Heap - buildHeap5分钟
4.5 Heap - Runtime Analysis3分钟
1 个阅读材料
Week 4 Overview10分钟
2 个练习
Week 4 Quiz30分钟
Week 4 Challenge30分钟
审阅
来自ORDERED DATA STRUCTURES的热门评论
由 JT 提供Jan 20, 2020
Really good course so far. Using VSC + git bash on a Windows 10 machine for the programming assignments, and the web-based compiler for the challenges. Really good experiences so far.
由 SF 提供Jun 18, 2020
Was a bit fast for me to catch at first, but I eventually got the hang of the pace. Loved the resources the instructor provided. Illinois is lucky to have such a great educator.
由 DT 提供Apr 7, 2020
Had to do the quizzes before realizing how much was went through in the short video lectures! Very compact and useful course in showing various data structures.
由 EE 提供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.
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.
This Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.
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