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
Ordered Data Structures
ofrecido por
Programa Especializado - Accelerated Computer Science FundamentalsUniversidad de Illinois en Urbana-Champaign
Programa - QuƩ aprenderƔs en este curso
Semana
18 horas para completar
Orientation; Linear Structures
6 videos (Total 64 minutos), 3 readings, 4 quizzes
6 videos
1.1 Arrays11m
1.4 Array and List Operations10m
1.5 Queue (Data Structure)8m
1.6 Stack (Data Structure)8m
3 lecturas
Syllabus10m
Additional References for C++10m
Week 1 Overview10m
3 ejercicios de prƔctica
Orientation Quiz5m
Week 1 Quiz30m
Week 1 Challenge30m
Semana
22 horas para completar
Introduction to Tree Structures
5 videos (Total 54 minutos), 1 reading, 2 quizzes
5 videos
2.4 Binary Search Tree19m
2.5 BST Analysis9m
1 lectura
Week 2 Overview10m
2 ejercicios de prƔctica
Week 2 Quiz30m
Week 2 Challenge30m
Semana
37 horas para completar
Advanced Tree Structures
5 videos (Total 34 minutos), 1 reading, 3 quizzes
5 videos
3.2.2 B-Tree Insert7m
3.2.3 B-Tree Search4m
1 lectura
Week 3 Overview10m
2 ejercicios de prƔctica
Week 3 Quiz30m
Week 3 Challenge30m
Semana
42 horas para completar
Heap Structures
5 videos (Total 30 minutos), 1 reading, 2 quizzes
5 videos
4.4 Heap - buildHeap5m
4.5 Heap - Runtime Analysis3m
1 lectura
Week 4 Overview10m
2 ejercicios de prƔctica
Week 4 Quiz30m
Week 4 Challenge30m
4.9
6 revisionesPrincipales revisiones sobre Ordered Data Structures
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.
Instructor
Wade Fagen-Ulmschneider
Teaching Assistant ProfessorComputer Science
Acerca de 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.
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.
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.
Preguntas Frecuentes
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