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.
本课程是 Accelerated Computer Science Fundamentals 专项课程 专项课程的一部分
Ordered Data Structures
提供方
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 8 小时
Orientation; Linear Structures
6 个视频 （总计 64 分钟）, 4 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
4 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
3 个练习
Orientation Quiz5分钟
Week 1 Quiz30分钟
Week 1 Challenge30分钟
周
2完成时间为 2 小时
Introduction to Tree Structures
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
周
3完成时间为 7 小时
Advanced Tree Structures
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
周
4完成时间为 2 小时
Heap Structures
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
4.8
30 条评论来自Ordered Data Structures的热门评论
My favorite Coursera specialization! Responsive staff, lectures are very clear, assignments are both challenging and educational (closely related to lecture materials). Thank you!
Good coverage. The lecturer and teaching stuff are knowledgeable and helpful. Would be better if the slides can have more details.
讲师
Wade Fagen-Ulmschneider
Teaching Assistant ProfessorComputer Science
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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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