À propos de ce cours

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Sous-titres : Anglais

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Université de Californie à Davis

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1

Semaine 1

4 heures pour terminer

Getting Started and Computer Simulations

4 heures pour terminer
11 vidéos (Total 85 min), 3 lectures, 2 quiz
11 vidéos
Course Introduction5 min
Theoretical Simulations4 min
Modeling and Mapping6 min
Extending Thoughts Computationally (Part 1)6 min
Extending Thoughts Computationally (Part 2)5 min
Schelling's Segregation Model (Part 1)8 min
Schelling's Segregation Model (Part 2)6 min
Reflecting on Schelling5 min
Expanding on Schelling (Part 1)6 min
Expanding on Schelling (Part 2)9 min
3 lectures
About UCCSS10 min
A Note From UC Davis10 min
Agent Based Models (ABM)10 min
2 exercices pour s'entraîner
ABM Quiz1 h
Module 1 Quiz30 min
Semaine
2

Semaine 2

3 heures pour terminer

Artificial Societies: Sugarscape

3 heures pour terminer
13 vidéos (Total 101 min), 1 lecture, 1 quiz
13 vidéos
Sugarscape9 min
Sugarscape Components4 min
Sugarscape 24 min
Sugarscape 3: Inequality (Part 1)7 min
Sugarscape 3: Inequality (Part 2)11 min
Sugarscape 4: Sex6 min
Sugarscape 5: Inheritance7 min
Sugarscape 6: Das Kapital10 min
Sugarscape 7-10: Pressured to Move13 min
Sugarscape 11-12: Sugar & Spice6 min
Life on the Brink4 min
The Generativist Motto12 min
1 lecture
Resources40 min
1 exercice pour s'entraîner
Module 2 Quiz30 min
Semaine
3

Semaine 3

2 heures pour terminer

Computer Simulations and Characteristics of ABM

2 heures pour terminer
12 vidéos (Total 75 min)
12 vidéos
CSS for Your Choices5 min
Code You Can Live By7 min
Gambling High or Low5 min
More Risk in Your Life!8 min
Today's Questions3 min
Agent-Based Emergence (Part 1)7 min
Agent-Based Emergence (Part 2)7 min
Social Bursts5 min
Intuitive Presentation4 min
Context Sensitivity5 min
Probabilistic Humbleness13 min
1 exercice pour s'entraîner
Module 3 Quiz30 min
Semaine
4

Semaine 4

5 heures pour terminer

Model Thinking and Coding Artificial Societies

5 heures pour terminer
15 vidéos (Total 118 min), 2 lectures, 2 quiz
15 vidéos
Four Model Outcomes (Part 1)5 min
Four Model Outcomes (Part 2)10 min
Analytical and Numerical10 min
All Models Are Wrong10 min
Occam's Razor5 min
Science: Pure Creativity10 min
Agent Based Models Lab Introduction47s
First Turtle7 min
Moving Turtle9 min
Communicating Turtles12 min
Social Epidemiology8 min
Conceptual Model6 min
Changing People's Health9 min
Computer Simulations of the Dead7 min
2 lectures
Welcome to Peer Review Assignments!10 min
Optional / Voluntary / Complementary50 min
1 exercice pour s'entraîner
Module 4 Quiz30 min

À propos du Spécialisation 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

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

  • Si vous vous abonnez, vous bénéficiez d'une période d'essai gratuite de 7 jours, durant laquelle vous pouvez annuler votre abonnement sans pénalité. Ensuite, nous n'accordons plus de remboursements, mais vous pouvez annuler votre abonnement à tout instant. Consultez notre politique de remboursement complète.

  • Oui, Coursera offre une Aide Financière aux étudiants qui n'ont pas les moyens d'acquitter les frais. Demandez-la en cliquant sur le lien Aide Financière sous le bouton S'inscrire situé à gauche. Vous devrez remplir un formulaire de demande et vous serez averti(e) si elle est acceptée. Vous devrez répéter cette procédure pour chaque cours de la Spécialisation, y compris pour le Projet Final. En savoir plus.

  • 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.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.