이 강좌는 컴퓨테이셔널 사회과학 특화 과정의 일부입니다.

4.7
별점
267개의 평가

Martin Hilbert

11,059명이 이미 등록했습니다.

제공자:

컴퓨테이셔널 사회과학 특화 과정캘리포니아 대학교 데이비스 캠퍼스

이 강좌에 대하여

최근 조회 13,966회

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.
In this course we answer three questions:
I.    Why Computational Social Science (CSS) now? 
II.    What does CSS cover?
III.    What are examples of CSS?

In this last part, we take a bird’s-eye view on four main applications of CSS. First, Prof. Blumenstock from UC Berkeley discusses how we can gain insights by studying the massive digital footprint left behind today’s social interactions, especially to foster international development. Second, Prof. Shelton from UC Riverside introduces us to the world of machine learning, including the basic concepts behind this current driver of much of today's computational landscape. Prof. Fowler, from UC San Diego introduces us to the power of social networks, and finally, Prof. Smaldino, from UC Merced, explains how computer simulation help us to untangle some of the mysteries of social emergence.

유연한 마감일

일정에 따라 마감일을 재설정합니다.

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:

컴퓨테이셔널 사회과학 특화 과정

초급 단계

완료하는 데 약 11시간 필요

영어

자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 영어, 스페인어

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.

유연한 마감일

일정에 따라 마감일을 재설정합니다.

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:

컴퓨테이셔널 사회과학 특화 과정

초급 단계

완료하는 데 약 11시간 필요

영어

자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 영어, 스페인어

강사

강사 평가

4.84/5 (94개의 평가)

Martin Hilbert

Professor and Chair DE Computational Social Science

Communication, Graduate Group Computer Science Chair Emphasis Computational Social Science

36,665명의 학습자

5개의 강좌

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 계획표 - 이 강좌에서 배울 내용

콘텐츠 평가96%(1,119개의 평가)

주

주 1

완료하는 데 4시간 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 4시간 필요

14개 동영상 (총 124분), 3 개의 읽기 자료, 1 개의 테스트

14개의 동영상

What is this Specialization About?18m

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

주

주 2

완료하는 데 4시간 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 4시간 필요

7개 동영상 (총 75분), 3 개의 읽기 자료, 3 개의 테스트

주

주 3

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

주

주 4

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)

검토

4.7

69개의 리뷰

5 stars
80.14%
4 stars
13.97%
3 stars
1.83%
2 stars
2.20%
1 star
1.83%

COMPUTATIONAL SOCIAL SCIENCE METHODS의 최상위 리뷰

TR 제공2021년 2월 5일

The course was very well planned. The course does not need any prior specialization and anybody with diligence and intent can acquire the skill taught through this course with ease

DA 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.

MB 제공2022년 3월 24일

Great course. Very well designed and a nice balance in delivering information and assessing knowledge acquired.

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.

모든 리뷰 보기

컴퓨테이셔널 사회과학 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

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재정 지원을 받을 수 있나요?
예. 등록금을 지불할 여유가 없는 학습자는 일부 학습 프로그램에 대해 재정 지원 또는 장학금을 신청할 수 있습니다. 재정 지원 또는 장학금을 선택한 학습 프로그램에서 신청할 수 있는 경우, 신청 링크는 설명 페이지에서 확인할 수 있습니다.
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.

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Computational Social Science Methods