We may earn an affiliate commission when you visit our partners.

NetLogo's BehaviorSpace + RAWGraphs

In this project-based course, you will be introduced to and explore one of the most relevant features of NetLogo: BehaviorSpace. The context behind such a feature is that a model's true insights arise when it runs multiple times with different combinations of settings (parameter values). This approach, sometimes referred to as parameter sweeping, allows the researcher to observe a large range of behaviors that the system is capable of producing. And that is exactly what you will be doing.

In addition to that, you will analyze the results of your BehaviorSpace experiments with an open and entry-level (codeless) data analysis tool: RAWGraphs 2.0. With it, you will create many insightful data visualizations, which can all be brought together in a project's report.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Here's a deal for you

Save money when you learn with a deal that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until August 30

Google AI App Builder

Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind

What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Builds foundation in important modeling tool, NetLogo

Strong for understanding modeling parameter space for NetLogo

Teaches important insights for model analysis via parameter sweeping

Develops model behaviors and combinations using BehaviorSpace

Utilizes RAWGraphs 2.0 for producing visualization of results

Requires knowledge of NetLogo prior to taking this course

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Netlogo behaviorspace and rawgraphs application

According to students, this course provides a practical introduction to NetLogo's BehaviorSpace for parameter sweeping, a crucial technique for understanding model behaviors. Many found the hands-on approach and the integration with RAWGraphs 2.0 for codeless data visualization particularly beneficial. While the course effectively teaches how to generate and analyze simulation data, some learners noted the regional restriction for optimal experience. Overall, it's considered a focused and valuable resource for those interested in agent-based modeling and data analysis.

Best suited for those with NetLogo interest.

"This course is highly specialized; it's most beneficial if you're already working with or plan to use NetLogo."

"I think prior familiarity with NetLogo models helps a lot, even though the course focuses on a specific feature."

"It's a very focused course on a specific tool combination, so learners should ensure it aligns with their goals."

Facilitates easy, codeless data visualization.

"Analyzing results with RAWGraphs was surprisingly intuitive and helped me visualize complex data without coding."

"The RAWGraphs part of the course was a great addition, making data interpretation accessible and clear."

"I appreciated the practical demonstration of using RAWGraphs 2.0 to create insightful data visualizations."

Focuses on practical parameter sweeping.

"This course provided a fantastic practical overview of NetLogo's BehaviorSpace for running simulations."

"I found the hands-on approach to exploring model behaviors through parameter sweeping extremely useful."

"The project clearly demonstrated how to use BehaviorSpace to gain insights from complex models."

Course experience best for North America.

"I noted the warning about the course working best in North America, which could be a concern for international learners."

"The course description mentions regional restrictions for the best experience, which is a key point for prospective students outside North America."

"As an international student, I would want to know more about how the North America region preference might affect my learning."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in NetLogo's BehaviorSpace + RAWGraphs with these activities:

Review concepts of BehaviorSpace

Show steps

Reviewing basic concepts of BehaviorSpace will help you build a strong foundation for exploring the parameter space of NetLogo models.

Show steps

Read the NetLogo documentation on BehaviorSpace.
Watch a tutorial on how to use BehaviorSpace.
Practice using BehaviorSpace on a simple NetLogo model.

Read "NetLogo by Example"

Show steps

This book provides a comprehensive overview of NetLogo and includes several examples of using BehaviorSpace.

View An Introduction to Agent-Based Modeling:... on Amazon

Show steps

Read the chapters on BehaviorSpace in "NetLogo by Example".
Follow the examples of using BehaviorSpace in "NetLogo by Example".
Experiment with the different features of BehaviorSpace using the examples provided in "NetLogo by Example".

Explore the NetLogo User Manual

Show steps

The NetLogo User Manual provides comprehensive information on all aspects of NetLogo, including BehaviorSpace. Exploring the manual will help you gain a deeper understanding of the capabilities of the software.

Show steps

Read the chapter on BehaviorSpace in the NetLogo User Manual.
Follow the tutorials on using BehaviorSpace in the NetLogo User Manual.
Experiment with the different features of BehaviorSpace using the examples provided in the NetLogo User Manual.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Discuss your BehaviorSpace experiments with others

Show steps

Discussing your BehaviorSpace experiments with others will help you gain feedback and insights from others.

Show steps

Find a peer to discuss your experiments with.
Share your findings with your peer.
Get feedback from your peer and discuss your insights.

Attend a workshop on BehaviorSpace

Show steps

Attending a workshop on BehaviorSpace will provide you with an opportunity to learn from experts and network with others who are interested in BehaviorSpace.

Show steps

Find a workshop on BehaviorSpace to attend.
Attend the workshop.
Participate in the discussions and ask questions.
Network with other attendees.

Conduct BehaviorSpace experiments

Show steps

Conducting BehaviorSpace experiments will allow you to explore the parameter space of NetLogo models and gain insights into their behavior.

Show steps

Design a BehaviorSpace experiment to test a hypothesis about a NetLogo model.
Run the BehaviorSpace experiment and analyze the results.
Draw conclusions from the results of the BehaviorSpace experiment.

Develop a NetLogo model that uses BehaviorSpace

Show steps

Developing a NetLogo model that uses BehaviorSpace will allow you to apply your knowledge of BehaviorSpace to a real-world problem.

Show steps

Choose a problem that you want to solve using a NetLogo model.
Design a NetLogo model to solve the problem.
Implement the NetLogo model.
Use BehaviorSpace to explore the parameter space of the NetLogo model.
Draw conclusions from the results of your BehaviorSpace experiments.
Use your NetLogo model to make predictions about the real-world problem.

Create a report on your BehaviorSpace experiments

Show steps

Creating a report on your BehaviorSpace experiments will help you synthesize your findings and communicate them to others.

Show steps

Write an introduction to your report, describing the purpose of your experiments.
Describe the methods you used to conduct your experiments.
Present your results in a clear and concise manner.
Draw conclusions from your results and discuss their implications.

Career center

Learners who complete NetLogo's BehaviorSpace + RAWGraphs will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use data to solve complex problems and make predictions. They use a variety of techniques, including data analysis, machine learning, and artificial intelligence. This course can help Data Scientists develop the skills they need to analyze data, visualize data, and build models. The course's focus on parameter sweeping can also help Data Scientists understand how different combinations of settings can affect the behavior of a system, which can be valuable in developing more accurate and effective models.

See salaries and explore the career path for Data Scientist

Data Visualization Specialist

Data Visualization Specialists create visual representations of data. They use a variety of techniques, including data analysis, modeling, and simulation, to create visualizations that help people understand data. This course can help Data Visualization Specialists develop the skills they need to create visual representations of data. The course's focus on parameter sweeping can also help Data Visualization Specialists understand how different combinations of settings can affect the behavior of a visualization, which can be valuable in creating more effective visualizations.

See salaries and explore the career path for Data Visualization Specialist

Systems Analyst

Systems Analysts design and implement computer systems. They use a variety of techniques, including data analysis, modeling, and simulation, to create systems that meet the needs of users. This course can help Systems Analysts develop the skills they need to design and implement computer systems. The course's focus on parameter sweeping can also help Systems Analysts understand how different combinations of settings can affect the behavior of a system, which can be valuable in designing more effective systems.

See salaries and explore the career path for Systems Analyst

Research Scientist

Research Scientists conduct research to advance knowledge in a particular field. They use a variety of methods, including data analysis, modeling, and simulation. This course can help Research Scientists develop the skills they need to design and conduct research studies, analyze data, and communicate their findings. The course's focus on parameter sweeping can also help Research Scientists understand how different combinations of settings can affect the behavior of a system, which can be valuable in designing more effective research studies.

See salaries and explore the career path for Research Scientist

Data Analyst

Data Analysts interpret data to help organizations make informed decisions. They use statistical analysis and data visualization techniques to identify trends and patterns in data. This course can help Data Analysts build a foundation in data analysis techniques and data visualization tools. The course's focus on parameter sweeping can also help Data Analysts understand how different combinations of settings can affect the behavior of a system, which can be valuable in identifying the most effective strategies for data analysis.

See salaries and explore the career path for Data Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve problems in a variety of industries. They use a variety of techniques, including data analysis, modeling, and simulation, to identify and solve problems. This course can help Operations Research Analysts develop the skills they need to solve problems and make decisions. The course's focus on parameter sweeping can also help Operations Research Analysts understand how different combinations of settings can affect the behavior of a system, which can be valuable in developing more effective solutions to problems.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians use mathematical and statistical techniques to collect, analyze, and interpret data. They use a variety of techniques, including data analysis, modeling, and simulation, to solve problems and make predictions. This course can help Statisticians develop the skills they need to collect, analyze, and interpret data. The course's focus on parameter sweeping can also help Statisticians understand how different combinations of settings can affect the behavior of a statistical model, which can be valuable in developing more accurate and effective models.

See salaries and explore the career path for Statistician

Marketing Analyst

Marketing Analysts use data to measure and evaluate marketing campaigns. They use a variety of techniques, including data analysis, modeling, and simulation, to identify and solve problems. This course can help Marketing Analysts develop the skills they need to measure and evaluate marketing campaigns. The course's focus on parameter sweeping can also help Marketing Analysts understand how different combinations of settings can affect the behavior of a marketing campaign, which can be valuable in developing more effective campaigns.

See salaries and explore the career path for Marketing Analyst

Sales Analyst

Sales Analysts use data to identify and solve problems related to sales. They use a variety of techniques, including data analysis, modeling, and simulation, to identify and solve problems. This course can help Sales Analysts develop the skills they need to identify and solve problems related to sales. The course's focus on parameter sweeping can also help Sales Analysts understand how different combinations of settings can affect the behavior of a sales team, which can be valuable in developing more effective sales strategies.

See salaries and explore the career path for Sales Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies to create software that meets the needs of users. This course can help Software Engineers develop the skills they need to design and develop software applications. The course's focus on parameter sweeping can also help Software Engineers understand how different combinations of settings can affect the behavior of a software application, which can be valuable in developing more robust and reliable software.

See salaries and explore the career path for Software Engineer

Management Consultant

Management Consultants help organizations improve their performance. They use a variety of techniques, including data analysis, modeling, and simulation, to identify and solve problems. This course can help Management Consultants develop the skills they need to analyze data, solve problems, and communicate their findings. The course's focus on parameter sweeping can also help Management Consultants understand how different combinations of settings can affect the behavior of an organization, which can be valuable in developing more effective strategies for improvement.

See salaries and explore the career path for Management Consultant

Financial Analyst

Financial Analysts use data to make investment decisions. They use a variety of techniques, including data analysis, modeling, and simulation, to analyze financial data and make recommendations. This course can help Financial Analysts develop the skills they need to analyze data and make investment decisions. The course's focus on parameter sweeping can also help Financial Analysts understand how different combinations of settings can affect the behavior of a financial system, which can be valuable in making more informed investment decisions.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They use a variety of techniques, including data analysis, modeling, and simulation, to develop insurance and pension plans. This course can help Actuaries develop the skills they need to assess risk and uncertainty. The course's focus on parameter sweeping can also help Actuaries understand how different combinations of settings can affect the behavior of an insurance or pension plan, which can be valuable in developing more effective plans.

See salaries and explore the career path for Actuary

Business Analyst

Business Analysts use data to make decisions about business operations. They use a variety of techniques, including data analysis, modeling, and simulation, to identify and solve problems. This course can help Business Analysts develop the skills they need to analyze data, solve problems, and communicate their findings. The course's focus on parameter sweeping can also help Business Analysts understand how different combinations of settings can affect the behavior of a business, which can be valuable in developing more effective strategies for improvement.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. They use a variety of techniques, including data analysis, modeling, and simulation, to develop and launch products that meet the needs of customers. This course can help Product Managers develop the skills they need to develop and launch products. The course's focus on parameter sweeping can also help Product Managers understand how different combinations of settings can affect the behavior of a product, which can be valuable in developing more successful products.

See salaries and explore the career path for Product Manager

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in NetLogo's BehaviorSpace + RAWGraphs.

An Introduction to Agent-Based Modeling

Save

Is the official NetLogo user manual. It provides a comprehensive overview of the NetLogo programming language and environment. It is an essential reference for anyone who wants to learn more about NetLogo.

An Introduction to Agent-Based Modeling: Modeling...

Paperback

$$$

An Introduction to Agent-Based Modeling: Modeling...

Kindle Edition

$$$