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第 1 门课程(共 5 门)
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初级
完成时间大约为12 小时
英语(English)
字幕:英语(English)

您将学到的内容有

  • Examine the history and current challenges faced by Social Science through the digital revolution.

  • Configure a machine to create a database that can be used for analysis.

  • Discuss what is artificial intelligence (AI) and train a machine.

  • Discover how social networks and human dynamics create social systems and recognizable patterns.

可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 1 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为12 小时
英语(English)
字幕:英语(English)

提供方

加州大学戴维斯分校 徽标

加州大学戴维斯分校

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 3 小时

Computational Social Science (CSS)

完成时间为 3 小时
14 个视频 (总计 124 分钟), 3 个阅读材料, 1 个测验
14 个视频
Course Introduction5分钟
Optional: Study Suggestions (not required)17分钟
Module 1 Introduction3分钟
The Digital Revolution13分钟
First Ever UC-wide Online Course1分钟
A Very Short History of Science5分钟
A Very Simplistic Hierarchy of Science5分钟
Social Emergence (Part 1)4分钟
Social Emergence (Part 2)7分钟
The Scientific Method Revisited13分钟
Limitations of Induction and Deduction15分钟
Glass of Red Wine Theorizing5分钟
Social Science Challenges7分钟
3 个阅读材料
About UCCSS10分钟
A Note From UC Davis10分钟
Optional/Complementary10分钟
1 个练习
Module 1 Quiz45分钟
2

2

完成时间为 5 小时

Example of Computational Social Science: Data Science

完成时间为 5 小时
7 个视频 (总计 75 分钟), 3 个阅读材料, 3 个测验
7 个视频
Overview of Big Data10分钟
Fighting Poverty with Data7分钟
Extracting Features8分钟
Predicting Poverty10分钟
Who Cares?9分钟
Webscraping Lab How-To28分钟
3 个阅读材料
Welcome to the Web Scraping Lab10分钟
Welcome to Peer Review Assignments!10分钟
Optional/ Complementary10分钟
2 个练习
Web Scraping Assigned Task5分钟
Module 2 Quiz45分钟
3

3

完成时间为 2 小时

Examples of CSS: Machine Learning & AI

完成时间为 2 小时
7 个视频 (总计 39 分钟), 1 个阅读材料, 1 个测验
7 个视频
Overview of Artificial Intelligence (Part 1)5分钟
Overview of Artificial Intelligence (Part 2)7分钟
Machine Learning6分钟
Overfitting4分钟
Training, Validation, Testing7分钟
A Common Difficulty in ML5分钟
1 个阅读材料
Optional/Complementary10分钟
1 个练习
Module 3 Quiz30分钟
4

4

完成时间为 2 小时

Examples of CSS: Social Networks and Computer Simulations

完成时间为 2 小时
10 个视频 (总计 67 分钟)
10 个视频
Overview of Social Networks10分钟
Connected3分钟
From Obesity to Generosity7分钟
Get Your Friends Involved!8分钟
Overview of Computer Simulations11分钟
Models7分钟
Why Model?6分钟
Cultural Boundaries8分钟
Course Summary1分钟
1 个练习
Module 4 Quiz45分钟

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关于 Computational Social Science 专项课程

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

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  • 是的,Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请,申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤,包括毕业项目。了解更多

  • These are some of the 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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