Über diesen Kurs

27,092 kürzliche Aufrufe
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100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
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Stufe „Anfänger“
Ca. 12 Stunden zum Abschließen
Untertitel: Englisch

Was Sie lernen werden

  • 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.

Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Anfänger“
Ca. 12 Stunden zum Abschließen
Untertitel: Englisch


University of California, Davis-Logo

University of California, Davis

Lehrplan - Was Sie in diesem Kurs lernen werden


Woche 1

3 Stunden zum Abschließen

Computational Social Science (CSS)

3 Stunden zum Abschließen
14 Videos (Gesamt 124 min), 3 Lektüren, 1 Quiz
14 Videos
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
3 Lektüren
About UCCSS10m
A Note From UC Davis10m
1 praktische Übung
Module 1 Quiz45m

Woche 2

5 Stunden zum Abschließen

Example of Computational Social Science: Data Science

5 Stunden zum Abschließen
7 Videos (Gesamt 75 min), 3 Lektüren, 3 Quiz
7 Videos
Overview of Big Data10m
Fighting Poverty with Data7m
Extracting Features8m
Predicting Poverty10m
Who Cares?9m
Webscraping Lab How-To28m
3 Lektüren
Welcome to the Web Scraping Lab10m
Welcome to Peer Review Assignments!10m
Optional/ Complementary10m
2 praktische Übungen
Web Scraping Assigned Task5m
Module 2 Quiz45m

Woche 3

2 Stunden zum Abschließen

Examples of CSS: Machine Learning & AI

2 Stunden zum Abschließen
7 Videos (Gesamt 39 min), 1 Lektüre, 1 Quiz
7 Videos
Overview of Artificial Intelligence (Part 1)5m
Overview of Artificial Intelligence (Part 2)7m
Machine Learning6m
Training, Validation, Testing7m
A Common Difficulty in ML5m
1 Lektüre
1 praktische Übung
Module 3 Quiz30m

Woche 4

2 Stunden zum Abschließen

Examples of CSS: Social Networks and Computer Simulations

2 Stunden zum Abschließen
10 Videos (Gesamt 67 min)
10 Videos
Overview of Social Networks10m
From Obesity to Generosity7m
Get Your Friends Involved!8m
Overview of Computer Simulations11m
Why Model?6m
Cultural Boundaries8m
Course Summary1m
1 praktische Übung
Module 4 Quiz45m



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Über den Spezialisierung 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

Häufig gestellte Fragen

  • Der Zugang zu Vorlesungen und Aufgaben hängt von der Art Ihrer Anmeldung ab. Wenn Sie einen Kurs im Gastmodus belegen, können Sie die meisten Kursmaterialien kostenlos einsehen. Um auf benotete Aufgaben zuzugreifen und ein Zertifikat zu erhalten, müssen Sie während oder nach Ihrer Gastphase das Zertifikat erwerben. Wenn Sie die Gastoption nicht sehen:

    • Der Kurs bietet möglicherweise keine Gastoption an. Sie können stattdessen eine kostenlose Testversion ausprobieren oder finanzielle Unterstützung beantragen.
    • Der Kurs kann stattdessen "Vollständiger Kurs ohne Zertifikat" anbieten. Mit dieser Option können Sie alle Kursmaterialien einsehen, die erforderlichen Aufgaben einreichen und eine Endnote erhalten. Dies bedeutet auch, dass Sie kein Zertifikat erwerben können.
  • Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.

  • Wenn Sie ein Abonnement abgeschlossen haben, erhalten Sie eine 7-tägige, kostenlose Testversion, die Sie gebührenfrei wieder kündigen können. Danach gewähren wir keine Rückerstattungen mehr, aber Sie können Ihr Abonnement jederzeit kündigen. Lesen Sie unsere vollständige Rückerstattungsrichtlinie.

  • Ja, Coursera bietet für Kursteilnehmer, die sich die Kursgebühr nicht leisten können, finanzielle Unterstützung an. Bewerben Sie sich dafür, indem Sie auf den Link für finanzielle Unterstützung links unter der Schaltfläche „Anmelden“ klicken. Sie werden zum Ausfüllen eines Antrags aufgefordert und werden bei Genehmigung benachrichtigt. Diesen Schritt müssen Sie für jeden Kurs der Spezialisierung ausführen, auch für das Abschlussprojekt. Mehr erfahren

  • 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.

Haben Sie weitere Fragen? Besuchen Sie das Hilfe-Center für Teiln..