Course Description

Computational Social Science, CMN 150V

Nontechnical survey of modern computational research methods. Web scraping, artificial intelligence, visualizing social networks, and computer simulations. Hands-on use of diverse software applications. Professors from all ten UC campuses contribute.

Key Information

Credit: 4 quarter units / 2.67 semester units credit
UC Davis, COMM

Course Credit:

Upon successful completion, all online courses offered through cross-enrollment provide UC unit credit. Some courses are approved for GE, major preparation and/or, major credit or can be used as a substitute for a course at your campus.

If "unit credit" is listed by your campus, consult your department, academic adviser or Student Affairs division to inquire about the petition process for more than unit credit for the course.

UC Berkeley:
Unit Credit

UC Davis:
General Education: SocSci | ACGH, VL, SS. - III. (III.)
Major Requirement: required course for the Communication Major

UC Irvine:
Unit Credit

UC Los Angeles:
Unit Credit

UC Merced:
Units toward degree (see your advisor)

UC Riverside:
General Education: Elective units

UC San Diego:
General Education: ERC Formal Skills; TMC 1 course toward upper division disciplinary breadth if noncontiguous to major; Sixth - None
Major Requirement: The Cognitive Science department at UC San Diego has approved CMN 150V from UC Davis to count as an upper-division elective towards the Machine Learning & Neural Computation Specialization.

UC San Francisco:
Unit Credit

UC Santa Barbara:
General Education: This course will apply to Area D automatically upon completion

UC Santa Cruz:
General Education: PE-T
Major Requirement: Sociology: Can be used as an elective course substitution

More About The Course

This is the first online course collectively taught by Professors from all 10 UC-campuses. It's content has also been adapted as a publicly available online Specialization by Coursera, https://www.coursera.org/specializations/computational-social-science-ucdavis, where some 40,000 learners have been learning about modern computational social science research approaches, including web-scraping, network analysis, artificial intelligence, and computer simulations.

Relevant Website

Course Creator

Martin Hilbert

Martin Hilbert is Professor at the University of California, Davis. He studies the role of digital information and algorithms in the development of complex social systems. He holds doctorates in Economics and Social Sciences (2006) and in Communication (2012), is associated with Communication and Computer Science at UCD, and chairs the campus’s designated emphasis in Computational Social Science. Before joining academia, he created and coordinated the Information Society Programme of the United Nations Secretariat in Latin America and the Caribbean (http://www.cepal.org/SocInfo). In his 15 years as United Nations Economic Affairs Officer he provided hands-on technical assistance in the field of digital development in over 20 countries. He has been Principal Investigator of several dozen projects, summing over $25M. His work is published in the most recognized academic journals, such as Science, Psychological Bulletin, Trends in Ecology and Evolution, and World Development, and regularly features in popular outlets, including The Wall Street Journal, Washington Post, The Economist, NPR, NatGeo, Discovery, PBS, BBC, Die Welt, among others. More: www.martinhilbert.net

 

Martin Hilbert is Professor at the University of California, Davis. He studies the role of digital information and algorithms in the development of complex social systems. He holds doctorates in Economics and Social Sciences (2006) and in Communication (2012), is associated with Communication and Computer Science at UCD, and chairs the campus’s designated emphasis in Computational Social ...

Martin Hilbert is Professor at the University of California, Davis. He studies the role of digital information and algorithms in the development of complex social systems. He holds doctorates in Economics and Social Sciences (2006) and in Communication (2012), is associated with Communication and Computer Science at UCD, and chairs the campus’s designated emphasis in Computational Social Science. Before joining academia, he created and coordinated the Information Society Programme of the United Nations Secretariat in Latin America and the Caribbean (http://www.cepal.org/SocInfo). In his 15 years as United Nations Economic Affairs Officer he provided hands-on technical assistance in the field of digital development in over 20 countries. He has been Principal Investigator of several dozen projects, summing over $25M. His work is published in the most recognized academic journals, such as Science, Psychological Bulletin, Trends in Ecology and Evolution, and World Development, and regularly features in popular outlets, including The Wall Street Journal, Washington Post, The Economist, NPR, NatGeo, Discovery, PBS, BBC, Die Welt, among others. More: www.martinhilbert.net

 


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