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Computer Simulations

Learn to create and analyze agent-based models and artificial societies using computational tools for social science research.

Learn to create and analyze agent-based models and artificial societies using computational tools for social science research.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Computational Social Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.4

(80 ratings)

8,686 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 2 more

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Computer Simulations

This course includes

12 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Create agent-based models using NetLogo

  • Analyze complex social systems through simulation

  • Develop theoretical models of social phenomena

  • Implement and modify artificial societies

  • Evaluate computational social science theories

Skills you'll gain

Computer Simulation
Agent-Based Modeling
Social Science
NetLogo
Artificial Societies
Computational Modeling
Model Thinking
Social Systems
Theory Development
Sugarscape

This course includes:

6.3 Hours PreRecorded video

5 quizzes, 1 peer review

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Certificate

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There are 4 modules in this course

This comprehensive course introduces students to computer simulations in social science research. The curriculum covers agent-based modeling, artificial societies, and theoretical exploration through computational tools. Students learn to use NetLogo to create and analyze social simulations, including famous models like Schelling's segregation model and Sugarscape. The course emphasizes hands-on experience with building artificial societies and understanding complex social phenomena through simulation.

Getting Started and Computer Simulations

Module 1 · 3 Hours to complete

Artificial Societies: Sugarscape

Module 2 · 2 Hours to complete

Computer Simulations and Characteristics of ABM

Module 3 · 1 Hours to complete

Model Thinking and Coding Artificial Societies

Module 4 · 4 Hours to complete

Fee Structure

Instructor

Martin Hilbert
Martin Hilbert

4.8 rating

178 Reviews

62,293 Students

9 Courses

Professor and Chair DE Computational Social Science

Martin Hilbert is a distinguished Professor at the University of California, Davis, specializing in the intersection of digital information and algorithms within complex social systems. He holds dual doctorates in Economics and Social Sciences (2006) and Communication (2012). His academic contributions include pioneering studies on the global information landscape and developing the first digital action plan for Latin America and the Caribbean during his tenure as an Economic Affairs Officer at the United Nations. Hilbert's foresight in recognizing the implications of digital manipulation was evident when he alerted the public about Cambridge Analytica's involvement in political campaigns a year before it became widely known.In addition to his research, Dr. Hilbert teaches various courses, including Big Data, Artificial Intelligence, and Ethics, as well as Computational Social Science methods. His work has been published in leading academic journals and featured in prominent media outlets such as The Wall Street Journal and The Economist. With a rich background that includes providing technical assistance to over 20 countries, he is fluent in five languages and has traveled extensively across four continents, bringing a global perspective to his research and teaching.

Computer Simulations

This course includes

12 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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4.4 course rating

80 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.