Informações sobre o curso
4.7
936 classificações
223 avaliações
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

Horas para completar

Aprox. 20 horas para completar

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

Inglês

Legendas: Inglês

Habilidades que você terá

GraphsSearch AlgorithmGraph AlgorithmsGraph Data Structures
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

Horas para completar

Aprox. 20 horas para completar

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

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
2 horas para concluir

Introduction to the Course

Welcome to the first week in the third course of our Intermediate Java Programming Specialization. Once again start with introductions, and in particular introduce the unique structure of this course. Also, if you're not sure if this course is right for you, we've got an optional pre-course quiz coming right up that can help you figure out if you're in the right place. If you decide to stay with us (and we really hope you will!) we've got a great backbone project for you: your very own mapping application, inspired by Google Maps! The core data structure throughout this course is graphs, which may very well be the most fundamental data structure in all of computer science. Ready to begin? So are we!...
Reading
4 videos (Total 17 min), 10 leituras, 3 testes
Video4 videos
Your path through this course5min
Concept challenges3min
Project Prototype5min
Reading10 leituras
After completing this course, you will be able to ...5min
Is this course right for me?10min
Up Next: A short survey0
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
Quiz3 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
Horas para completar
5 horas para concluir

Introduction to Graphs

This week we'll start getting technical, introducing you to the central data structure in the course: Graphs. You'll learn the basics and then have a chance to dive in a little deeper into the code, getting ready to start building that Google Maps-like application....
Reading
17 videos (Total 92 min), 7 leituras, 4 testes
Video17 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 Googlemin
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 implementationsmin
Core: Neighbors5min
Support: Coding getNeighbors7min
Support: Coding 2-Hop Neighbors7min
Support: Multiplying Adjacency Matrices4min
Project: Programming Assignment Walkthrough15min
Reading7 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
Quiz3 exercícios práticos
Graphs5min
Where to next?2min
Graph definitions and implementation20min
Semana
3
Horas para completar
8 horas para concluir

Class design and simple graph search

This week you'll get the backbone of your map search engine up and running. In previous courses, including the previous courses in this specialization, you've probably been given most of the classes you needed to complete the assignments. But learning how to design classes from scratch is a key skill that you will need as you become a more sophisticated Java programmer. This week we'll give you the tools you need to create a robust and elegant class design for your map search engine. We'll introduce a similar problem and show you how it can be represented as a graph. Then we'll introduce two core search algorithms: depth-first search and breadth-first search. Finally, we'll turn our graph problem into a set of Java classes. Your task on the programming assignment this week will be to do the same thing, but in the context on the map search engine!...
Reading
20 videos (Total 100 min), 3 leituras, 4 testes
Video20 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
Reading3 leituras
By the end of this week, you will be able to ...5min
Week 3: Additional Resources1min
End of Week Quiz Answers10min
Quiz2 exercícios práticos
Where to next?2min
End of Week Quiz (complete project and peer review first)20min
Semana
4
Horas para completar
6 horas para concluir

Finding shortest paths in weighted graphs

In the past two weeks, you've developed a strong understanding of how to design classes to represent a graph and how to use a graph to represent a map. In this week, you'll add a key feature of map data to our graph representation -- distances -- by adding weights to your edges to produce a "weighted graph". Although this might seem like a small change, the algorithms that work for unweighted graphs may prove ineffective for weighted graphs. To address this problem, you'll explore more advanced shortest path algorithms. First, you'll see how to find the shortest path on a weighted graph, then you'll see how to find it more quickly. In the project, you'll apply these ideas to create the core of any good mapping application: finding the shortest route from one location to another....
Reading
10 videos (Total 43 min), 4 leituras, 2 testes
Video10 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 algorithmsmin
Project: Shortest Path Programming Assignment Walkthrough8min
Reading4 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
Quiz1 exercício prático
End of Week Quiz (very short, do programming assignment first)10min
4.7
223 avaliaçõesChevron Right
Direcionamento de carreira

33%

comecei uma nova carreira após concluir estes cursos
Benefício de carreira

83%

consegui um benefício significativo de carreira com este curso

Melhores avaliações

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

Assistant Teaching Professor
Computer Science and Engineering
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Mia Minnes

Assistant Teaching Professor
Computer Science and Engineering
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Christine Alvarado

Associate Teaching Professor
Computer Science and Engineering

Sobre University of California 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 o 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.

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