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.
本課程是 Accelerated Computer Science Fundamentals 專項課程 專項課程的一部分
Ordered Data Structures
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課程信息
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學習Course的學生是
- Machine Learning Engineers
- Data Scientists
- Scientists
- Technical Solutions Engineers
- Software Engineers
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 8 小時
Orientation; Linear Structures
6 個視頻 （總計 64 分鐘）, 3 個閱讀材料, 4 個測驗
6 個視頻
1.1 Arrays11分鐘
1.2 Linked Memory11分鐘
1.3 Run Time Analysis13分鐘
1.4 Array and List Operations10分鐘
1.5 Queue (Data Structure)8分鐘
1.6 Stack (Data Structure)8分鐘
3 個閱讀材料
Syllabus10分鐘
Additional References for C++10分鐘
Week 1 Overview10分鐘
3 個練習
Orientation Quiz5分鐘
Week 1 Quiz30分鐘
Week 1 Challenge30分鐘
週
2完成時間為 2 小時
Introduction to Tree Structures
5 個視頻 （總計 54 分鐘）, 1 個閱讀材料, 2 個測驗
5 個視頻
2.2 Binary Trees8分鐘
2.3 Tree Traversals8分鐘
2.4 Binary Search Trees19分鐘
2.5 BST Analysis9分鐘
1 個閱讀材料
Week 2 Overview10分鐘
2 個練習
Week 2 Quiz30分鐘
Week 2 Challenge30分鐘
週
3完成時間為 7 小時
Advanced Tree Structures
5 個視頻 （總計 34 分鐘）, 1 個閱讀材料, 3 個測驗
5 個視頻
3.1.2 AVL Analysis8分鐘
3.2.1 B-Tree Introduction3分鐘
3.2.2 B-Tree Insert7分鐘
3.2.3 B-Tree Search4分鐘
1 個閱讀材料
Week 3 Overview10分鐘
2 個練習
Week 3 Quiz30分鐘
Week 3 Challenge30分鐘
週
4完成時間為 2 小時
Heap Structures
5 個視頻 （總計 30 分鐘）, 1 個閱讀材料, 2 個測驗
5 個視頻
4.2 Heap Insert6分鐘
4.3 Heap - RemoveMIN5分鐘
4.4 Heap - buildHeap5分鐘
4.5 Heap - Runtime Analysis3分鐘
1 個閱讀材料
Week 4 Overview10分鐘
2 個練習
Week 4 Quiz30分鐘
Week 4 Challenge30分鐘
4.8
17 個審閱來自Ordered Data Structures的熱門評論
My favorite Coursera specialization! Responsive staff, lectures are very clear, assignments are both challenging and educational (closely related to lecture materials). Thank you!
Great course - well balanced and structured, no issues with grader, great support from instructors. THANK YOU!
講師
Wade Fagen-Ulmschneider
Teaching Assistant ProfessorComputer Science
關於 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.
關於 Accelerated Computer Science Fundamentals 專項課程
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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