In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks!
The opportunities for learning are practically endless in a social network. Who are the “influential” members of the network? What are the sub-communities in the network? Who is connected to whom, and by how many links? These are just some of the questions you can explore in this project.
We will provide you with a real-world data set and some infrastructure for getting started, as well as some warm up tasks and basic project requirements, but then it’ll be up to you where you want to take the project. If you’re running short on ideas, we’ll have several suggested directions that can help get your creativity and imagination going. Finally, to integrate the skills you acquired in course 4 (and to show off your project!) you will be asked to create a video showcase of your final product.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Object Oriented Java Programming: Data Structures and Beyond
Capstone: Analyzing (Social) Network Data
von
Spezialisierung Object Oriented Java Programming: Data Structures and BeyondUniversity of California San Diego
992 Angemeldet
Lehrplan - Was Sie in diesem Kurs lernen werden
Woche
16 Stunden zum Abschließen
Introduction and Warm up
Welcome to our capstone project! In the last four courses in this specialization you've learned many core data structures and algorithms, and applied them to three different real-world projects. In this capstone project you'll be doing a project very much like the projects from these other courses, only it will be almost entirely directed by you! In this first week you'll get warmed up by playing around with the data that will form the backbone of this project: social network data. Then you'll get back into writing code by implementing a couple of graph algorithms to answer questions about this data.
8 Videos (Gesamt 43 min), 4 Lektüren, 2 Quiz
8 Videos
Capstone Project Exemplar10m
Project overview and timeline2m
Introduction to (some) social network data7m
Representing social network data as a graph2m
Warm up algorithm 1: Extracting egonets3m
Warm up algorithm 2: Strongly Connected Components5m
Warm up algorithm 2: Strongly connected components, part 210m
4 Lektüren
By the end of this capstone, you will be able to ...10m
Specialization Completion Rewards10m
Capstone Project Overview10m
Capstone Warmup Assignment: Where to get help10m
1 praktische Übungen
Warm-up Feedback4m
Woche
23 Stunden zum Abschließen
Project Definition and Scope
Now that you're warmed up, it's time to get started planning for the bulk of your capstone project. This week you will identify several questions you'd like to answer about the social network data. For each of these questions, you'll research and evaluate data structures and algorithms that would be useful in implementing a solution. Defining the scope of your project and anticipating bottlenecks and tricky spots is tough but extremely valuable. You'll use asymptotic analysis to guide and refine your design.
6 Videos (Gesamt 50 min), 2 Lektüren, 2 Quiz
6 Videos
Project idea: information flow in a social network12m
Project idea: broadcasting to a Twitter network, part 16m
Project idea: broadcasting to a Twitter network, part 26m
Project idea: detecting communities11m
Analyzing algorithms before implementing11m
2 Lektüren
Preparing to watch the "Project ideas" videos10m
Example Report: Scope and Problem Definition10m
1 praktische Übungen
End of Week Feedback5m
Woche
33 Stunden zum Abschließen
Capstone Implementation: Mini-project
Now that you've identified the two problems you want to solve, this week you'll work to solve the easier of the two. This week you are predominately on your own to work independently. To solve the problem, you'll likely create small datasets for testing, research existing solutions to related problems, implement a solution, test your solution, and analyze the algorithmic runtime of the solution. You can optionally write-up a report of your work for peer-review feedback.
2 Videos (Gesamt 12 min), 1 Lektüre, 2 Quiz
1 Lektüren
Sample Project Reports20m
1 praktische Übungen
End of Week Feedback5m
Woche
42 Stunden zum Abschließen
Capstone Implementation: Full project checkpoint
This week, you will work on your own on the larger problem you aim to solve. You'll have two weeks (this and the next) to solve the larger problem and submit a report for peer feedback. For this week, you should aim to create small test datasets, research exist solutions, and analyze the runtime of your potential solutions. You should also research datasets which might be particularly interesting for your problem.
1 Videos (Gesamt 3 min), 1 Lektüre, 1 Quiz
1 Videos
1 Lektüren
Content Links to Prevous Courses20m
50%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
67%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
25%
erhalten Sie eine Gehaltserhöhung oder Beförderung
Top-Bewertungen
I think this is a great specialization to learn more about Java programming and associated technologies such as the Eclipse IDE and Unit Testing.
Cannot express how grateful i am to this course series. Will recommend to anyone who has needs!
Dozenten
Christine Alvarado
Associate Teaching ProfessorComputer Science and Engineering
Mia Minnes
Assistant Teaching ProfessorComputer Science and Engineering
Leo Porter
Assistant Teaching ProfessorComputer Science and Engineering
Über 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.
Über die Spezialisierung 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.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Sobald Sie sich für ein Zertifikat angemeldet haben, haben Sie Zugriff auf alle Videos, Quizspiele und Programmieraufgaben (falls zutreffend). Aufgaben, die von anderen Kursteilnehmern bewertet werden, können erst dann eingereicht und überprüft werden, wenn Ihr Unterricht begonnen hat. Wenn Sie sich den Kurs anschauen möchten, ohne ihn zu kaufen, können Sie womöglich auf bestimmte Aufgaben nicht zugreifen.
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
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