This course gives you an overview of the current opportunities and the omnipresent reach of computational social science. The results are all around us, every day, reaching from the services provided by the world’s most valuable companies, over the hidden influence of governmental agencies, to the power of social and political movements. All of them study human behavior in order to shape it. In short, all of them do social science by computational means.
Computational Social Science 특화 과정캘리포니아 대학교 데이비스 캠퍼스이 강좌에 대하여
최근 조회 26,871회
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 1번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 12시간 필요
영어
자막: 영어
배울 내용
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.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 1번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 12시간 필요
영어
자막: 영어
제공자:
캘리포니아 대학교 데이비스 캠퍼스
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
Computational Social Science (CSS)
In this module, you will be able to examine the history and current challenges faced by social science through the digital revolution. You will be able to discuss the mystery at the core of society: social emergence. You will be able to recall the fundamental building blocks of the scientific method and how they apply to the new computational tools we now have available. You will be able to defend what people mean when they say that ‘social studies’ are currently maturing to become a ‘real science’.
완료하는 데 3시간 필요
14개 동영상 (총 124분), 3 개의 읽기 자료, 1 개의 테스트
14개의 동영상
Course Introduction5m
Optional: Study Suggestions (not required)17m
Module 1 Introduction3m
The Digital Revolution13m
First Ever UC-wide Online Course1m
A Very Short History of Science5m
A Very Simplistic Hierarchy of Science5m
Social Emergence (Part 1)4m
Social Emergence (Part 2)7m
The Scientific Method Revisited13m
Limitations of Induction and Deduction15m
Glass of Red Wine Theorizing5m
Social Science Challenges7m
3개의 읽기 자료
About UCCSS10m
A Note From UC Davis10m
Optional/Complementary10m
1개 연습문제
Module 1 Quiz45m
완료하는 데 5시간 필요
Example of Computational Social Science: Data Science
In this module, you will be presented with an example of how computational social science is applied in the real world through a case study. You will be able to discuss examples of digital footprint and describe how computational social science is applied. You will practice an activity and be able to configure a machine to create a database that can later be used for analysis.
완료하는 데 5시간 필요
7개 동영상 (총 75분), 3 개의 읽기 자료, 3 개의 테스트
7개의 동영상
Overview of Big Data10m
Fighting Poverty with Data7m
Extracting Features8m
Predicting Poverty10m
Who Cares?9m
Webscraping Lab How-To28m
3개의 읽기 자료
Welcome to the Web Scraping Lab10m
Welcome to Peer Review Assignments!10m
Optional/ Complementary10m
2개 연습문제
Web Scraping Assigned Task5m
Module 2 Quiz45m
완료하는 데 2시간 필요
Examples of CSS: Machine Learning & AI
In this module, you will be able to discover how artificial intelligence can convert news stories into a real-time observatory of global unrest and potential terror attacks, and how brain scans can be used to reveal aspects of your moral values. You will be able to practice interacting with artificial intelligence that can interpret your art skills.
완료하는 데 2시간 필요
7개 동영상 (총 39분), 1 개의 읽기 자료, 1 개의 테스트
7개의 동영상
Overview of Artificial Intelligence (Part 1)5m
Overview of Artificial Intelligence (Part 2)7m
Machine Learning6m
Overfitting4m
Training, Validation, Testing7m
A Common Difficulty in ML5m
1개의 읽기 자료
Optional/Complementary10m
1개 연습문제
Module 3 Quiz30m
완료하는 데 2시간 필요
Examples of CSS: Social Networks and Computer Simulations
In this module, you will be able to discover how social networks and human dynamics create systems that are larger than you and me: social systems. You will be able to discuss how social networks and human dynamics follow recognizable patterns. You will be able to identify how social network analysis and computer simulations are currently quite successful in untangling some of the mysteries of social emergence.
완료하는 데 2시간 필요
10개 동영상 (총 67분)
10개의 동영상
Overview of Social Networks10m
Connected3m
From Obesity to Generosity7m
Get Your Friends Involved!8m
Overview of Computer Simulations11m
Models7m
Why Model?6m
Cultural Boundaries8m
Course Summary1m
1개 연습문제
Module 4 Quiz45m
검토
COMPUTATIONAL SOCIAL SCIENCE METHODS의 최상위 리뷰
AB 제공2020년 7월 6일
Excellent course and the instructor(s) make it even more engaging. I love Martin Hilbert and his explanations, examples. I enjoyed course 1 alot and continuing course 2 at the moment.
PT 제공2020년 7월 11일
This is a great course to take as an introduction to Computational Social Science. I hope the rest of the Specialization is just as engaging, relevant, and informative.
MM 제공2020년 6월 30일
Excellent course for beginners, or those curious to learn more on computational social sciences that don't have a strong technical background.
MV 제공2020년 4월 21일
Got a rudimentary level understanding of the power of computational tools like ML, SNA and ABM can help in analysis of human dynamics
Computational Social Science 특화 과정 정보
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.
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
강의 및 과제 이용 권한은 등록 유형에 따라 다릅니다. 청강 모드로 강좌를 수강하면 대부분의 강좌 자료를 무료로 볼 수 있습니다. 채점된 과제를 이용하고 수료증을 받으려면 청강 도중 또는 이후에 수료증 경험을 구매해야 합니다. 청강 옵션이 표시되지 않는 경우:
- 강좌에서 청강 옵션을 제공하지 않을 수 있습니다. 대신 무료 평가판을 사용하거나 재정 지원을 신청할 수 있습니다.
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.
환불 규정은 어떻게 되나요?
구독하는 경우, 취소해도 요금이 청구되지 않는 7일간의 무료 평가판을 이용할 수 있습니다. 해당 기간이 지난 후에는 환불이 되지 않지만, 언제든 구독을 취소할 수 있습니다. 전체 환불 정책 보기.
재정 지원을 받을 수 있나요?
예, Coursera에서는 수업료를 낼 수 없는 학습자를 위해 재정 지원을 제공합니다. 왼쪽에 있는 등록 버튼 아래 재정 지원 링크를 클릭하면 지원할 수 있습니다. 신청서를 작성하라는 메시지가 표시되며 승인되면 알림을 받습니다. 성취 프로젝트를 포함하여 전문 분야의 각 강좌에서 이 단계를 완료해야 합니다. 자세히 알아보기.
What do students say after completion?
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."
Since this Specialization is a collective effort from all UC campuses, who teaches it?
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.
강좌를 수료하면 대학 학점을 받을 수 있나요?
이 강좌는 대학 학점을 제공하지 않지만, 일부 대학에서 선택적으로 강좌 수료증을 학점으로 인정할 수도 있습니다. 자세한 내용은 해당 기관에 문의하세요. Coursera의 온라인 학위 및 Mastertrack™ 수료증은 대학 학점을 취득할 기회를 제공합니다.
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