Informações sobre o curso: 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.
Desenvolvido por: University of California San Diego
Ministrado por: Christine Alvarado, Associate Teaching Professor
Computer Science and EngineeringMinistrado por: Mia Minnes, Assistant Teaching Professor
Computer Science and EngineeringMinistrado por: Leo Porter, Assistant Teaching Professor
Computer Science and Engineering
| Informações básicas | |
| Compromisso | 6 weeks of study, 3-5 hours/week |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
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, 4 leituras
- Reading: By the end of this capstone, you will be able to ...
- Reading: Specialization Completion Rewards
- Reading: Capstone Project Overview
- Vídeo: Capstone Project Exemplar
- Vídeo: Project overview and timeline
- Vídeo: Introduction to (some) social network data
- Vídeo: Representing social network data as a graph
- Vídeo: Warm up algorithm 1: Extracting egonets
- Vídeo: Warm up algorithm 2: Strongly Connected Components
- Vídeo: Warm up algorithm 2: Strongly connected components, part 2
- Reading: Capstone Warmup Assignment: Where to get help
- Discussion Prompt: What questions do you have about the project?
Nota atribuída: Capstone warm up
Nota atribuída: Warm-up Feedback
SEMANA 2
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, 2 leituras
- Reading: Preparing to watch the "Project ideas" videos
- Vídeo: Project idea: information flow in a social network
- Vídeo: Project idea: broadcasting to a Twitter network, part 1
- Vídeo: Project idea: broadcasting to a Twitter network, part 2
- Vídeo: Project idea: detecting communities
- Vídeo: Analyzing algorithms before implementing
- Reading: Example Report: Scope and Problem Definition
Nota atribuída: Scope and Problem Definition
Nota atribuída: End of Week Feedback
SEMANA 3
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, 1 leituras
- Vídeo: Overview of report
- Reading: Sample Project Reports
- Peer Review: Optional mini-project report
Nota atribuída: End of Week Feedback
SEMANA 4
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 vídeos, 1 leituras
- Reading: Content Links to Prevous Courses
- Peer Review: Optional progress report
SEMANA 5
Capstone Implementation: Full project final deadline
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.
2 videos
- Vídeo: Peer review best practices
Nota atribuída: Capstone Project Written Report and Code
Nota atribuída: End of Week Feedback
SEMANA 6
Capstone oral report
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!
3 videos
- Vídeo: Demo presentation
- Vídeo: End of Specialization message
Nota atribuída: Capstone Oral Report
Nota atribuída: End of Capstone Feedback
Nota atribuída: End of Specialization Feedback
Perguntas frequentes
Como funciona
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Desenvolvedores
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
The course will be learned a lot if you are fresh to Java
Definitely one of the best courses I've had the chance to take on Coursera!
If you want to learn how to define and delimit a project scope, learn how to predict and estimate risks that could arise in developing a software project, and, finally, get to combine all the skills learnt in the first five courses of this specialization to build powerful interactive software, then this course is for you!
Dive in, you won't regret it!
great course I learned lot things thank you for you efforts .
but I have tow observations , first about the capstone I waste a lot of time looking for dataset and thinking about an idea for the capstone ,
second observation is that Leo speaks fast and have a weird accent , it's not easy to follow him.
thanks again it was a wonderful course.
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RC
This is basically a do-it-yourself project...you can be lazy, not research and do the bare minimum, or you can take it seriously, read papers and search online and in books if you so please and end up with a beautiful project that is truly of your design, with algorithms that would have seemed impossible before the project but that you now see are not at all that hard and quite enlightening. If you working hard and not do things with a handicap, you can do something amazing wit this guidance!