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.
Este curso forma parte de Programa Especializado - Accelerated Computer Science Fundamentals
ofrecido por
Programa Especializado - Accelerated Computer Science FundamentalsUniversidad de Illinois en Urbana-ChampaignAcerca de este Curso
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Fechas límite flexibles
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Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Illinois en 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.
Programa - Qué aprenderás en este curso
8 horas para completar
Orientation; Linear Structures
8 horas para completar
6 videos (Total 64 minutos), 6 lecturas, 4 cuestionarios
6 videos
1.1 Arrays11m
1.2 Linked Memory11m
1.3 Run Time Analysis13m
1.4 Array and List Operations10m
1.5 Queue (Data Structure)8m
1.6 Stack (Data Structure)8m
6 lecturas
Syllabus10m
Additional References for C++10m
Week 1 Overview10m
Downloading the Example C++ Source Code for Lecture with Git15m
Important Tips and Notes for All Challenge Problems10m
Guidelines for Asking for Help With Code10m
3 ejercicios de práctica
Orientation Quiz5m
Week 1 Quiz30m
Week 1 Challenge30m
2 horas para completar
Introduction to Tree Structures
2 horas para completar
5 videos (Total 54 minutos), 1 lectura, 2 cuestionarios
5 videos
2.2 Binary Trees8m
2.3 Tree Traversals8m
2.4 Binary Search Trees19m
2.5 BST Analysis9m
1 lectura
Week 2 Overview10m
2 ejercicios de práctica
Week 2 Quiz30m
Week 2 Challenge30m
7 horas para completar
Advanced Tree Structures
7 horas para completar
5 videos (Total 34 minutos), 1 lectura, 3 cuestionarios
5 videos
3.1.2 AVL Analysis8m
3.2.1 B-Tree Introduction3m
3.2.2 B-Tree Insert7m
3.2.3 B-Tree Search4m
1 lectura
Week 3 Overview10m
2 ejercicios de práctica
Week 3 Quiz30m
Week 3 Challenge30m
2 horas para completar
Heap Structures
2 horas para completar
5 videos (Total 30 minutos), 1 lectura, 2 cuestionarios
5 videos
4.2 Heap Insert6m
4.3 Heap - RemoveMIN5m
4.4 Heap - buildHeap5m
4.5 Heap - Runtime Analysis3m
1 lectura
Week 4 Overview10m
2 ejercicios de práctica
Week 4 Quiz30m
Week 4 Challenge30m
Reseñas
Principales reseñas sobre ORDERED DATA STRUCTURES
por MC26 de jul. de 2020
It covers a lot of material in a short span of time, so retention is key. Make sure to take a lot of notes and give yourself some time to really process all the material from each week.
por JT20 de ene. de 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.
por HN24 de ago. de 2019
My favorite Coursera specialization! Responsive staff, lectures are very clear, assignments are both challenging and educational (closely related to lecture materials). Thank you!
por RR15 de jul. de 2020
submitting the program assignments for the first time took long and the process was tideous . except that the course content and the instructors explaination all were excellent.
Acerca de Programa especializado: 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.
Preguntas Frecuentes
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