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）, 3 个阅读材料, 4 个测验
6 个视频
1.1 Arrays11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
3 个阅读材料
Syllabus10分钟
Additional References for C++10分钟
Week 1 Overview10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
2.4 Binary Search Tree19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
3.2.2 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
4.4 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
4.9
5 个审阅来自Ordered Data Structures的热门评论
Great course - well balanced and structured, no issues with grader, great support from instructors. THANK YOU!
It's a great course with challenging but practical coding applications.
讲师
Wade Fagen-Ulmschneider
Teaching Assistant ProfessorComputer Science
关于 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.
About the 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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