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.
Ce cours fait partie de la Spécialisation Accelerated Computer Science Fundamentals
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Spécialisation Accelerated Computer Science FundamentalsUniversité de l'Illinois à Urbana-ChampaignÀ propos de ce cours
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Approx. 19 heures pour terminer
Anglais
Sous-titres : Anglais
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 3 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Approx. 19 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Université de l'Illinois à Urbana-Champaign
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.
Programme du cours : ce que vous apprendrez dans ce cours
8 heures pour terminer
Orientation; Linear Structures
8 heures pour terminer
6 vidéos (Total 64 min), 6 lectures, 4 quiz
6 vidéos
1.1 Arrays11 min
1.2 Linked Memory11 min
1.3 Run Time Analysis13 min
1.4 Array and List Operations10 min
1.5 Queue (Data Structure)8 min
1.6 Stack (Data Structure)8 min
6 lectures
Syllabus10 min
Additional References for C++10 min
Week 1 Overview10 min
Downloading the Example C++ Source Code for Lecture with Git15 min
Important Tips and Notes for All Challenge Problems10 min
Guidelines for Asking for Help With Code10 min
3 exercices pour s'entraîner
Orientation Quiz5 min
Week 1 Quiz30 min
Week 1 Challenge30 min
2 heures pour terminer
Introduction to Tree Structures
2 heures pour terminer
5 vidéos (Total 54 min), 1 lecture, 2 quiz
5 vidéos
2.1 Tree Terminology7 min
2.2 Binary Trees8 min
2.3 Tree Traversals8 min
2.4 Binary Search Trees19 min
2.5 BST Analysis9 min
1 lecture
Week 2 Overview10 min
2 exercices pour s'entraîner
Week 2 Quiz30 min
Week 2 Challenge30 min
7 heures pour terminer
Advanced Tree Structures
7 heures pour terminer
5 vidéos (Total 34 min), 1 lecture, 3 quiz
5 vidéos
3.1.1 Balanced BST9 min
3.1.2 AVL Analysis8 min
3.2.1 B-Tree Introduction3 min
3.2.2 B-Tree Insert7 min
3.2.3 B-Tree Search4 min
1 lecture
Week 3 Overview10 min
2 exercices pour s'entraîner
Week 3 Quiz30 min
Week 3 Challenge30 min
2 heures pour terminer
Heap Structures
2 heures pour terminer
5 vidéos (Total 30 min), 1 lecture, 2 quiz
5 vidéos
4.2 Heap Insert6 min
4.3 Heap - RemoveMIN5 min
4.4 Heap - buildHeap5 min
4.5 Heap - Runtime Analysis3 min
1 lecture
Week 4 Overview10 min
2 exercices pour s'entraîner
Week 4 Quiz30 min
Week 4 Challenge30 min
Avis
Meilleurs avis pour ORDERED DATA STRUCTURES
par JT20 janv. 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.
par SF18 juin 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.
par DT7 avr. 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.
par EE10 avr. 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.
À propos du Spécialisation Accelerated Computer Science Fundamentals
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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