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初級

完成時間大約為14 小時

英語(English)

字幕:英語(English)

可分享的證書

完成後獲得證書

100% 在線

立即開始,按照自己的計劃學習。

第 4 門課程(共 5 門)

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為14 小時

英語(English)

字幕:英語(English)

提供方

加州大学戴维斯分校 徽標

加州大学戴维斯分校

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 4 小時

Getting Started and Computer Simulations

完成時間為 4 小時
11 個視頻 (總計 85 分鐘), 3 個閱讀材料, 2 個測驗
11 個視頻
Course Introduction5分鐘
Theoretical Simulations4分鐘
Modeling and Mapping6分鐘
Extending Thoughts Computationally (Part 1)6分鐘
Extending Thoughts Computationally (Part 2)5分鐘
Schelling's Segregation Model (Part 1)8分鐘
Schelling's Segregation Model (Part 2)6分鐘
Reflecting on Schelling5分鐘
Expanding on Schelling (Part 1)6分鐘
Expanding on Schelling (Part 2)9分鐘
3 個閱讀材料
About UCCSS10分鐘
A Note From UC Davis10分鐘
Agent Based Models (ABM)10分鐘
2 個練習
ABM Quiz1小時
Module 1 Quiz30分鐘
2

2

完成時間為 3 小時

Artificial Societies: Sugarscape

完成時間為 3 小時
13 個視頻 (總計 101 分鐘), 1 個閱讀材料, 1 個測驗
13 個視頻
Sugarscape9分鐘
Sugarscape Components4分鐘
Sugarscape 24分鐘
Sugarscape 3: Inequality (Part 1)7分鐘
Sugarscape 3: Inequality (Part 2)11分鐘
Sugarscape 4: Sex6分鐘
Sugarscape 5: Inheritance7分鐘
Sugarscape 6: Das Kapital10分鐘
Sugarscape 7-10: Pressured to Move13分鐘
Sugarscape 11-12: Sugar & Spice6分鐘
Life on the Brink4分鐘
The Generativist Motto12分鐘
1 個閱讀材料
Resources40分鐘
1 個練習
Module 2 Quiz30分鐘
3

3

完成時間為 2 小時

Computer Simulations and Characteristics of ABM

完成時間為 2 小時
12 個視頻 (總計 75 分鐘)
12 個視頻
CSS for Your Choices5分鐘
Code You Can Live By7分鐘
Gambling High or Low5分鐘
More Risk in Your Life!8分鐘
Today's Questions3分鐘
Agent-Based Emergence (Part 1)7分鐘
Agent-Based Emergence (Part 2)7分鐘
Social Bursts5分鐘
Intuitive Presentation4分鐘
Context Sensitivity5分鐘
Probabilistic Humbleness13分鐘
1 個練習
Module 3 Quiz30分鐘
4

4

完成時間為 5 小時

Model Thinking and Coding Artificial Societies

完成時間為 5 小時
15 個視頻 (總計 118 分鐘), 2 個閱讀材料, 2 個測驗
15 個視頻
Four Model Outcomes (Part 1)5分鐘
Four Model Outcomes (Part 2)10分鐘
Analytical and Numerical10分鐘
All Models Are Wrong10分鐘
Occam's Razor5分鐘
Science: Pure Creativity10分鐘
Agent Based Models Lab Introduction47
First Turtle7分鐘
Moving Turtle9分鐘
Communicating Turtles12分鐘
Social Epidemiology8分鐘
Conceptual Model6分鐘
Changing People's Health9分鐘
Computer Simulations of the Dead7分鐘
2 個閱讀材料
Welcome to Peer Review Assignments!10分鐘
Optional / Voluntary / Complementary50分鐘
1 個練習
Module 4 Quiz30分鐘

關於 Computational Social Science 專項課程

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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  • 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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