University of California San Diego
Capstone: Analyzing (Social) Network Data
University of California San Diego

Capstone: Analyzing (Social) Network Data

This course is part of Object Oriented Java Programming: Data Structures and Beyond Specialization

Taught in English

Some content may not be translated

Christine Alvarado
Mia Minnes
Leo Porter

Instructors: Christine Alvarado

6,378 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(99 reviews)

17 hours (approximately)
Flexible schedule
Learn at your own pace

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Assessments

6 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(99 reviews)

17 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Object Oriented Java Programming: Data Structures and Beyond Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 6 modules in this course

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.

What's included

8 videos4 readings1 quiz1 programming assignment1 discussion prompt

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.

What's included

6 videos2 readings1 quiz1 peer review

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.

What's included

2 videos1 reading1 quiz1 peer review

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.

What's included

1 video1 reading1 peer review

Now you get to finalize your project! This week, you will finish your solution to the larger problem and submit a report for peer feedback. This is also an opportunity for reflection about what went well and what went poorly in the process of completing the project. It is also an opportunity to reflect on how far your technical skills have advanced since the beginning of this specialization.

What's included

2 videos1 quiz1 peer review

In this week, you get to present your project to the learner community! This will combine all the skills you've learned in the specialization: algorithm analysis, object oriented programming, design and use of data structures, and presenting your work with confidence. We look forward to seeing what you've created!

What's included

3 videos2 quizzes1 peer review

Instructors

Instructor ratings
5.0 (5 ratings)
Christine Alvarado
University of California San Diego
5 Courses386,406 learners
Mia Minnes
University of California San Diego
5 Courses386,406 learners
Leo Porter
University of California San Diego
5 Courses386,406 learners

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