About this Course
4.7
937 ratings
224 reviews
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 20 hours to complete

Suggested: 5 weeks of study, 1-3 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

GraphsSearch AlgorithmGraph AlgorithmsGraph Data Structures
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 20 hours to complete

Suggested: 5 weeks of study, 1-3 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 hours to complete

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 readings, 3 quizzes
Video4 videos
Your path through this course5m
Concept challenges3m
Project Prototype5m
Reading10 readings
After completing this course, you will be able to ...5m
Is this course right for me?10m
Up Next: A short survey
If you want more practice before you begin...2m
The structure of this course2m
Welcome from the Google engineers3m
Project Overview10m
Setting up Java and Eclipse10m
Getting and Setting up the Starter Code10m
Project: Orientation to the Starter Code, Data Files and Front-end10m
Quiz3 practice exercises
Pre-course quiz20m
Survey: Your goals for the course8m
Course Structure and Starter Code Quiz (make sure you can run the starter code first)12m
Week
2
Hours to complete
5 hours to complete

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 readings, 4 quizzes
Video17 videos
Project: Introduction to Graphs Project Overview3m
Core: What's a graph?8m
Core: Graph definitions4m
In the real world: Graphs at Google2m
In the real world: More graphs at Google55s
Core: Implementing graphs in Java3m
Core: Adjacency matrix12m
Core: Adjacency list7m
Concept Challenge: Comparing implementations of graphs3m
In the real world: Performance considerations2m
When I struggled: Analyzing implementations47s
Core: Neighbors5m
Support: Coding getNeighbors7m
Support: Coding 2-Hop Neighbors7m
Support: Multiplying Adjacency Matrices4m
Project: Programming Assignment Walkthrough15m
Reading7 readings
A note about week numbers10m
By the end of this week, you will be able to...5m
(Read only AFTER finishing Graphs Quiz)10m
Graph definitions and implementation: a glossary10m
Week 2: Additional Resources2m
Programming Assignment FAQ10m
Graph definitions and implementations Quiz Answer explanations (Read ONLY after you pass the quiz)10m
Quiz3 practice exercises
Graphs5m
Where to next?2m
Graph definitions and implementation20m
Week
3
Hours to complete
8 hours to complete

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 readings, 4 quizzes
Video20 videos
Project: Route Finding Project Overview4m
Core: Intro to Class Design4m
When I struggled: Building useful classes1m
In the Real World: Design patterns1m
Core: DFS, Part 16m
Core: DFS, Part 24m
Core: BFS6m
Support: Developing Small Examples to Test Your Code6m
When I struggled: Data structures jargon1m
When I struggled: The right data structure for the job1m
Concept Challenge: Performance of DFS and BFS5m
Core: Class Design8m
When I struggled: If you fail to plan ...1m
When I struggled: ... but don't forget to start!1m
In the real world: Planning ahead with design4m
Core: Refactoring12m
Support: Where to start the project design?10m
In the Real World: Why is code refactored?2m
Project: Programming Assignment Walk-through14m
Reading3 readings
By the end of this week, you will be able to ...5m
Week 3: Additional Resources1m
End of Week Quiz Answers10m
Quiz2 practice exercises
Where to next?2m
End of Week Quiz (complete project and peer review first)20m
Week
4
Hours to complete
6 hours to complete

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 readings, 2 quizzes
Video10 videos
Project: Shortest Path Overview2m
Core: Shortest Path with BFS3m
Core: Geographic Maps4m
Core: Dijkstra's Algorithm8m
Concept Challenge: Performance of Dijkstra's Algorithm8m
Core: A* Search Algorithm5m
When I struggled: Tackling large programming projects1m
When I Struggled: Remembering classical algorithms31s
Project: Shortest Path Programming Assignment Walkthrough8m
Reading4 readings
By the end of this week, you will be able to ...5m
Week 4: Additional Resources1m
Test cases and debugging guide for the quiz30m
End of Week Quiz Answers10m
Quiz1 practice exercise
End of Week Quiz (very short, do programming assignment first)10m
4.7
224 ReviewsChevron Right
Career direction

33%

started a new career after completing these courses
Career Benefit

27%

got a tangible career benefit from this course

Top Reviews

By 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.

By 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.

Instructors

Avatar

Leo Porter

Assistant Teaching Professor
Computer Science and Engineering
Avatar

Mia Minnes

Assistant Teaching Professor
Computer Science and Engineering
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Christine Alvarado

Associate Teaching Professor
Computer Science and Engineering

About 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....

About the Object Oriented Java Programming: Data Structures and Beyond Specialization

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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.