Skip to navigation Skip to content
Your Cart

mooc-course.com is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

MOOC Course
  • My Account
  • Wishlist
  • Customer Help
  • Home
  • All Courses
  • Courses by Subject
    • Computer Science
    • Business
    • Humanities
    • Data Science
    • Personal Development
    • Art & Design
    • Programming
    • Engineering
    • Health & Medicine
    • Mathematics
    • Science
    • Social Sciences
    • Education & Teaching
    • All Subjects
  • Courses by Providers
    • Coursera
    • edX
    • FutureLearn
    • Swayam
    • Udacity
    • All Providers
  • Courses by School
    • British Council
    • Galileo University
    • IBM
    • Massachusetts Institute of Technology
    • Stanford University
    • University of Birmingham
    • All Schools
  • Coupons
    • Coursera Coupons
    • edX Coupons
  • Blog
Home / Computer Science / Computer Simulations (Coursera)
Computer Simulations course Coursera
free Software Security Coursera course Software Security (Coursera)
Cloud Computing Concepts, Part 1 Coursera course Cloud Computing Concepts, Part 1 (Coursera)

Computer Simulations (Coursera)

Computer Simulations is a free online MOOC Course, Offered by the University of California, Davis via Coursera. This course 4 of 5 in the Computational Social Science Specialization.

Enroll In Course

Add to wishlist

Be ahead to learn something new Today

  • Flexible Online Learning
  • Verified Certificate*
  • Add powers to your Resume
  • Access course Anytime, Anywhere
  • Description
  • Additional information
  • Reviews 0

Overview

Big data and artificial intelligence get most of the press about computational social science, but maybe the most complex aspect of it refers to using computational tools to explore and develop social science theory. This course shows how computer simulations are being used to explore the realm of what is theoretically possible. Computer simulations allow us to study why societies are the way they are, and to dream about the world we would like to live in.

This can be as intuitive as playing a video game. Much like the well-known video game SimCity is used to build and manage an artificial city, we use agent-based models to grow and study artificial societies. Without hurting anyone in the real world, computer simulations allow us to explore how to make the world a better place.

We play hands-on with several practical computer simulation models and explore how we can combine hypothetical models with real-world data. Finally, you will program a simple artificial society yourself, bottom-up. This will allow you to feel the complexity that arises when designing social systems, while at the same time experiencing the ease with which our new computational tools allow us to pursue such daunting endeavors.

Syllabus

WEEK 1 – Getting Started and Computer Simulations

In this module, you will be able to define theoretical computer simulations, specifically agent-based models (ABM). You will be able to recall how and why agent-based models can be useful and you’ll be able to examine Schelling’s famous segregation model.

WEEK 2 – Artificial Societies: Sugarscape

In this module, you will be able to identify how to mix different models to create new and more complex models. You will be able to explore how to create sophisticated versions of artificial societies. You’ll also be able to examine an artificial society called Sugarscape.

WEEK 3 – Computer Simulations and Characteristics of ABM

In this module, you will be able to discover how one uses computer simulations to solve practical problems. You will be able to discuss agent-based models (ABM) and identify how ABM can be used in social science.

WEEK 4 – Model Thinking and Coding Artificial Societies

In this module, you will be able to describe what agent-based models are. You will be able to identify their capabilities and limitations. You will be able to define and use vocabulary and terminology around model thinking. You’ll also be able to code using NetLogo and be able to grow your own artificial society.

Teacher

  • Martin Hilbert

Additional information

Course Delivery

Online

Course Efforts

8-12 Hours a Week

Course Enrollment

Free

Course Language

English

Course Length

4 Weeks

Course Level

Beginner

Course Provider

Coursera

Course School

University of California, Davis

Course Subtitles

English, French, Portuguese, Russian, Spanish

Flexible Learning

Yes

Verified Certificate

Paid

Reviews

There are no reviews yet.

Be the first to review “Computer Simulations (Coursera)” Cancel reply

Your email address will not be published. Required fields are marked *

Categories: Computer Science, Social Sciences Tags: ABM, Agent-Based Models, Artificial Societies, Computational Social Science, Computational Social Science Specialization, Computer Simulation, Machine Learning, Model Thinking, Sugarscape

Related Courses you should see

  • Introduction to OpenCL on FPGAs Coursera Online MOOC Course

    Computer Science

    Introduction to OpenCL on FPGAs (Coursera)
    Enroll In Course
  • Cybersecurity Fundamentals course edx

    Computer Science, Cybersecurity, Network Security

    Cybersecurity Fundamentals (edX)
    Enroll In Course
  • AI and Big Data in Global Health Improvement FutureLearn course

    Computer Science, Healthcare Informatics, Information Technology, Public Health

    AI and Big Data in Global Health Improvement (FutureLearn)
    Enroll in Course
  • Alternative Mobility Narratives Coursera

    Social Sciences

    Alternative Mobility Narratives (Coursera)
    Enroll in Course
Free Worldwide Courses

Learn online for free

Enroll in Multiple Courses

Learn whatever your want from anywhere, anytime

International Language

Courses offered in multiple languages & Subtitles

Verified Certificate

Claim your verified certificate

About

“MOOC Course” is an aggregator (directory)
of Massive Open Online Courses
and Free Online Courses from different providers.

Help
  • Privacy Policy
  • Terms
  • Cookie Policy
  • Customer Help
  • Contact Us
Follow
  • Facebook
  • Twitter
  • Instagram
  • LinkedIn
Sign Up