Informações sobre o curso
31,263 visualizações recentes

Learner Career Outcomes

36%

comecei uma nova carreira após concluir estes cursos

39%

consegui um benefício significativo de carreira com este curso

20%

recebi um aumento ou promoção

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 20 horas para completar

Sugerido: 5 weeks of study, 1-3 hours/week...

Inglês

Legendas: Inglês

Habilidades que você terá

GraphsSearch AlgorithmGraph AlgorithmsGraph Data Structures

Learner Career Outcomes

36%

comecei uma nova carreira após concluir estes cursos

39%

consegui um benefício significativo de carreira com este curso

20%

recebi um aumento ou promoção

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 20 horas para completar

Sugerido: 5 weeks of study, 1-3 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
2 horas para concluir

Introduction to the Course

4 vídeos (Total 17 mín.), 10 leituras, 3 testes
4 videos
Your path through this course5min
Concept challenges3min
Project Prototype5min
10 leituras
After completing this course, you will be able to ...5min
Is this course right for me?10min
Up Next: A short survey
If you want more practice before you begin...2min
The structure of this course2min
Welcome from the Google engineers3min
Project Overview10min
Setting up Java and Eclipse10min
Getting and Setting up the Starter Code10min
Project: Orientation to the Starter Code, Data Files and Front-end10min
3 exercícios práticos
Pre-course quiz20min
Survey: Your goals for the course8min
Course Structure and Starter Code Quiz (make sure you can run the starter code first)12min
Semana
2
5 horas para concluir

Introduction to Graphs

17 vídeos (Total 92 mín.), 7 leituras, 4 testes
17 videos
Project: Introduction to Graphs Project Overview3min
Core: What's a graph?8min
Core: Graph definitions4min
In the real world: Graphs at Google2min
In the real world: More graphs at Google55s
Core: Implementing graphs in Java3min
Core: Adjacency matrix12min
Core: Adjacency list7min
Concept Challenge: Comparing implementations of graphs3min
In the real world: Performance considerations2min
When I struggled: Analyzing implementations47s
Core: Neighbors5min
Support: Coding getNeighbors7min
Support: Coding 2-Hop Neighbors7min
Support: Multiplying Adjacency Matrices4min
Project: Programming Assignment Walkthrough15min
7 leituras
A note about week numbers10min
By the end of this week, you will be able to...5min
(Read only AFTER finishing Graphs Quiz)10min
Graph definitions and implementation: a glossary10min
Week 2: Additional Resources2min
Programming Assignment FAQ10min
Graph definitions and implementations Quiz Answer explanations (Read ONLY after you pass the quiz)10min
3 exercícios práticos
Graphs5min
Where to next?2min
Graph definitions and implementation20min
Semana
3
8 horas para concluir

Class design and simple graph search

20 vídeos (Total 100 mín.), 3 leituras, 4 testes
20 videos
Project: Route Finding Project Overview4min
Core: Intro to Class Design4min
When I struggled: Building useful classes1min
In the Real World: Design patterns1min
Core: DFS, Part 16min
Core: DFS, Part 24min
Core: BFS6min
Support: Developing Small Examples to Test Your Code6min
When I struggled: Data structures jargon1min
When I struggled: The right data structure for the job1min
Concept Challenge: Performance of DFS and BFS5min
Core: Class Design8min
When I struggled: If you fail to plan ...1min
When I struggled: ... but don't forget to start!1min
In the real world: Planning ahead with design4min
Core: Refactoring12min
Support: Where to start the project design?10min
In the Real World: Why is code refactored?2min
Project: Programming Assignment Walk-through14min
3 leituras
By the end of this week, you will be able to ...5min
Week 3: Additional Resources1min
End of Week Quiz Answers10min
2 exercícios práticos
Where to next?2min
End of Week Quiz (complete project and peer review first)20min
Semana
4
6 horas para concluir

Finding shortest paths in weighted graphs

10 vídeos (Total 43 mín.), 4 leituras, 2 testes
10 videos
Project: Shortest Path Overview2min
Core: Shortest Path with BFS3min
Core: Geographic Maps4min
Core: Dijkstra's Algorithm8min
Concept Challenge: Performance of Dijkstra's Algorithm8min
Core: A* Search Algorithm5min
When I struggled: Tackling large programming projects1min
When I Struggled: Remembering classical algorithms31s
Project: Shortest Path Programming Assignment Walkthrough8min
4 leituras
By the end of this week, you will be able to ...5min
Week 4: Additional Resources1min
Test cases and debugging guide for the quiz30min
End of Week Quiz Answers10min
1 exercício prático
End of Week Quiz (very short, do programming assignment first)10min
4.8
244 avaliaçõesChevron Right

Principais avaliações do Estruturas de dados avançadas em Java

por DBOct 13th 2017

Great into to Java, instructors have clearly put thought in to the format with the choose your own learning style videos, and additional coverage where it may be needed. These have been very helpful.

por SUJun 8th 2017

Fantastic course! I would recommend to anyone interested in learning the graph data structure in a fun and hands-on and engaging way! Definitely one of the best courses I have followed on Coursera.

Instrutores

Avatar

Leo Porter

Associate Teaching Professor
Computer Science and Engineering
Avatar

Mia Minnes

Assistant Teaching Professor
Computer Science and Engineering
Avatar

Christine Alvarado

Associate Teaching Professor
Computer Science and Engineering

Sobre Universidade da Califórnia, San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

Sobre Programa de cursos integrados Object Oriented Java Programming: Data Structures and Beyond

This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment....
Object Oriented Java Programming: Data Structures and Beyond

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.