Informações sobre o curso

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Nível iniciante
Aprox. 14 horas para completar
Inglês
Legendas: Inglês
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 14 horas para completar
Inglês
Legendas: Inglês

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Universidade da Califórnia, Davis

Programa - O que você aprenderá com este curso

Semana
1

Semana 1

4 horas para concluir

Getting Started and Computer Simulations

4 horas para concluir
11 vídeos (Total 85 mín.), 3 leituras, 2 testes
11 videos
Course Introduction5min
Theoretical Simulations4min
Modeling and Mapping6min
Extending Thoughts Computationally (Part 1)6min
Extending Thoughts Computationally (Part 2)5min
Schelling's Segregation Model (Part 1)8min
Schelling's Segregation Model (Part 2)6min
Reflecting on Schelling5min
Expanding on Schelling (Part 1)6min
Expanding on Schelling (Part 2)9min
3 leituras
About UCCSS10min
A Note From UC Davis10min
Agent Based Models (ABM)10min
2 exercícios práticos
ABM Quiz1h
Module 1 Quiz30min
Semana
2

Semana 2

3 horas para concluir

Artificial Societies: Sugarscape

3 horas para concluir
13 vídeos (Total 101 mín.), 1 leitura, 1 teste
13 videos
Sugarscape9min
Sugarscape Components4min
Sugarscape 24min
Sugarscape 3: Inequality (Part 1)7min
Sugarscape 3: Inequality (Part 2)11min
Sugarscape 4: Sex6min
Sugarscape 5: Inheritance7min
Sugarscape 6: Das Kapital10min
Sugarscape 7-10: Pressured to Move13min
Sugarscape 11-12: Sugar & Spice6min
Life on the Brink4min
The Generativist Motto12min
1 leituras
Resources40min
1 exercício prático
Module 2 Quiz30min
Semana
3

Semana 3

2 horas para concluir

Computer Simulations and Characteristics of ABM

2 horas para concluir
12 vídeos (Total 75 mín.)
12 videos
CSS for Your Choices5min
Code You Can Live By7min
Gambling High or Low5min
More Risk in Your Life!8min
Today's Questions3min
Agent-Based Emergence (Part 1)7min
Agent-Based Emergence (Part 2)7min
Social Bursts5min
Intuitive Presentation4min
Context Sensitivity5min
Probabilistic Humbleness13min
1 exercício prático
Module 3 Quiz30min
Semana
4

Semana 4

5 horas para concluir

Model Thinking and Coding Artificial Societies

5 horas para concluir
15 vídeos (Total 118 mín.), 2 leituras, 2 testes
15 videos
Four Model Outcomes (Part 1)5min
Four Model Outcomes (Part 2)10min
Analytical and Numerical10min
All Models Are Wrong10min
Occam's Razor5min
Science: Pure Creativity10min
Agent Based Models Lab Introduction47s
First Turtle7min
Moving Turtle9min
Communicating Turtles12min
Social Epidemiology8min
Conceptual Model6min
Changing People's Health9min
Computer Simulations of the Dead7min
2 leituras
Welcome to Peer Review Assignments!10min
Optional / Voluntary / Complementary50min
1 exercício prático
Module 4 Quiz30min

Sobre Programa de cursos integrados Computational Social Science

For more information please view the Computational Social Science Trailer Digital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics. An increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world. This specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behavior. It is the first online specialization collectively taught by Professors from all 10 University of California campuses....
Computational Social Science

Perguntas Frequentes – FAQ

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 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.

  • Se você se inscrever, terá 7 dias para testar sem custo e, durante este período, pode cancelar sem multa. Depois disso, não reembolsamos, mas você pode cancelar sua inscrição a qualquer momento. Veja nossa política para o reembolso total.

  • Sim, a Coursera oferece auxílio financeiro ao aluno que não possa pagar a taxa. Faça a solicitação clicando no link Auxílio Financeiro, abaixo do botão "Inscreva-se" à esquerda. Preencha uma solicitação e será notificado caso seja aprovado. Você terá que completar esta etapa para cada curso na Especialização, incluindo o Trabalho de Conclusão de Curso. Saiba mais .

  • These are some reflections shared by students who have worked through the content of the Specialization on Computational Social Science:

    • "Highly enjoyable and most importantly, giving me exceptionally important skills to fulfill my job requirements at a new position in Munich. You may be interested to know the impact of your course on salary and in my case, the knowledge and certification gained adds about another Euro 20.000 on the annual salary (taking it to about Euro 120.000 p.a.)."
    • "My overall impression of this was: I can't wait to use this for other stuff!!"
    • "I absolutely think that these tools could be used in my future jobs, or even as a personal reflection. If you scrape and analyze the comments/reactions that your business gets on Youtube, Twitter, Instagram, etc., what does their language use say about how they interact with your brand — or what your brand brings out in them?"
    • "Wow, this is cool and fun stuff. Even though I may not pursue anything social-science related in the near future, it is still nice to learn and get to experience all of these tools that computational social science offers and benefits in all kinds of careers and fields of study."
    • "I particularly enjoyed the web-scraping for some reason. It feels very advanced although its very easy. ...It seems to be a very fast and efficient way of grabbing data."
    • "I enjoyed playing around with machine learning! ...It was also amazing to me how quickly it was able to grasp and learn our input in seconds. It makes me wonder how much more technology will advance in these next few years... It's scary but fascinating."
    • "The fact that these tools are so easily usable and attainable is incredible in my mind. Not only do we have access to them like we have access to things like Facebook and Twitter, but they're FREE."
    • "The most interesting aspect was the fact that these tools are all free and online. In the past, only researchers at well-funded universities had access to programs like the ones we used in all of our labs. But now, even someone without much technical knowledge on complex software can use these tools."
    • "I am so surprised that these tools are available to anyone through a simple download, and even more so that they are very user friendly and easy to learn how to navigate. I plan on starting a clothing line company in the future and I think it will be really helpful for me to be able to analyze so much online data."
    • "As an Environmental Policy Analysis and Planning major, I was fascinated to learn that there is a feasible way to simulate policy implementation and impact multiple times within a short span of time."
    • "UCCSS has allowed me to feel more confident in my abilities with a computer and to better understand companies like Facebook or Twitter. ...these tools really are powerful but also dangerous. ...It allows powerful individuals to manipulate ideas."
    • "Throughout the course, the content was challenging, but when it was finally applied to the labs at the end of each module, it was really rewarding to see everything play out. It was even more rewarding when it made sense too! ... I'm really glad I took this course! It was definitely a challenge, but I'm glad I got to experience and learn about so many topics I never knew even existed."
    • "It was fun seeing the results of the code that I made, and I never thought that I would be doing something like this in my life. The results also showed me what the society would look like.... Social network analysis and web scraping could be the tools that I use in my future job as all the internship that I'm looking now all related to social media or digital media."
    • "My career aspiration is to be a digital marketing expert. These computational tools have enormous implications for the field."
    • "I really really loved that this class let me learn hands-on and gave me experience with tools that have real world application and combine STEM & social science. I think that a lot of these tools are useful far beyond homework activities."
    • "Best course I have taken. I wish more online courses structured like this would be offered."
  • This Specialization on Computational Social Science is the result of a collective effort with contributions from Professors from all 10 campuses of the University of California. It is coordinated by Martin Hilbert, from UC Davis, and counts with lectures from:

    1) UC Berkeley: Joshua Blumenstock, Prof. iSchool; Stuart Russell, Professor of Computer Science and Engineering.

    2) UC Davis: Martin Hilbert, Prof., Dpt. of Communication & Seth Frey, Prof., Dpt. of Communication & Cynthia Gates, Director of the IRB.

    3) UC Irvine: Lisa Pearl, Prof. Cognitive Sciences.

    4) UC Los Angeles: PJ Lamberson, Assistant Prof. Communication Studies.

    5) UC Merced: Paul Smaldino, Prof. Cognitive and Information Sciences.

    6) UC Riverside: Christian Shelton, Prof. Computer Science.

    7) UC San Diego: James Fowler, Prof. Global Public Health and Political Science.

    8) UC San Francisco: Maria Glymour, Associate Prof. School of Medicine, Social Epidemiology & Biostatistics.

    9) UC Santa Barbara: René Weber, Prof. Dpt. of Communication & Media Neuroscience Lab (with Frederic Hopp).

    10) UC Santa Cruz: Marilyn Walker, Prof. Computer Science, Director, Computational Media.

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