Computer Simulations

Go to Course: https://www.coursera.org/learn/computer-simulations

Introduction

**Course Review: Computer Simulations on Coursera** In an era where big data and artificial intelligence dominate the discourse in computational social science, the "Computer Simulations" course on Coursera stands as a refreshing deep dive into the theoretical underpinnings of social science through the lens of computational tools. This course is a must for anyone interested in understanding how computer simulations can help us model, analyze, and envision the complexities of societal structures. ### Overview "Computer Simulations" offers a unique perspective by emphasizing the importance of simulations in exploring and developing social science theories. It challenges participants to think critically about the theoretical possibilities that simulations can unveil, allowing them to not only analyze current societal models but also to dream about future ones. This focus on theory coupled with computational practice makes the course particularly engaging. ### Syllabus Breakdown #### Module 1: Getting Started and Computer Simulations The introductory module sets the foundation by defining theoretical computer simulations, primarily through the lens of agent-based models (ABM). Learners will delve into how and why these models are instrumental in social science research. A critical examination of Schelling's famous segregation model provides a concrete example of the power of simulations in understanding social dynamics. #### Module 2: Artificial Societies: Sugarscape Building on the foundational concepts, this module introduces learners to the creation of sophisticated artificial societies. By engaging with the Sugarscape model, students will learn to mix and match different models to produce more complex simulations, thus deepening their understanding of societal interactions and structures. #### Module 3: Computer Simulations and Characteristics of ABM Continuing from the earlier discussions, this module focuses on practical applications of computer simulations. Students will explore the versatility of agent-based models, gaining insights into how they can be employed to tackle real-world social science challenges. #### Module 4: Model Thinking and Coding Artificial Societies The final module is where theory meets hands-on practice. Here, students will learn to code using NetLogo, one of the leading platforms for agent-based modeling. By understanding the capabilities and limitations of ABM, learners will gain the skills necessary to create their own artificial societies, cementing their knowledge and empowering them to apply it in their respective fields. ### Course Strengths 1. **Interdisciplinary Approach**: The course remarkably bridges the gap between computational methodologies and social science theory, making it suitable for individuals from diverse academic backgrounds. 2. **Hands-On Learning**: The practical coding component ensures that learners don't just consume theory but also gain tangible skills that can be applied in real-world contexts. 3. **Notable Examples**: Utilizing renowned models such as Schelling's segregation model and Sugarscape helps contextualize learning, making it relatable and applicable. 4. **Expert Instruction**: The instructors bring a wealth of experience, ensuring a high-quality learning environment where students receive valuable insights into both theoretical and practical aspects of computer simulations. ### Who Should Enroll The "Computer Simulations" course is ideal for students, researchers, and professionals in social sciences, data science, computational sociology, urban studies, public policy, and related fields who wish to enhance their analytical skills and broaden their understanding of societal dynamics through simulation techniques. ### Recommendation I wholeheartedly recommend the "Computer Simulations" course on Coursera for anyone eager to explore the intersection of social science theory and computational modeling. With its comprehensive syllabus, hands-on approach, and insightful discussions, this course not only equips you with the skills to navigate and contribute to the field of computational social science but also inspires you to engage in thoughtful dialogues about what our societies could aspire to become in the future. Enroll today and step into the fascinating world of computer simulations—where imagination meets analytical rigor!

Syllabus

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.

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.

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.

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.