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Danilo Oliveira Vaz
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/5hego2/netlogo
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What's inside
Syllabus
BehaviorSpace + RawGraphs
Do you know what is the parameter space of a model? It is the whole set of possibilities a model have based on the range of values of its settings (sliders, switches, choices, or any global variable). The dimensions of the parameter space are the number of settings of the model, in which every point is a particular combination of values. Our approach in this project will be to explore the Ants model's "space" of possible behaviors and determine which combinations of settings cause the behaviors of interest. Let's go?
Good to know
Good to know
Know what's good ,
what to watch for , 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
Save NetLogo's BehaviorSpace + RAWGraphs to your list so you can find it easily later:
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Reviews summary
Beginner-level netlogo
According to students, NetLogo's BehaviorSpace + RAWGraphs is well-received among those who have provided feedback. It is a beginner-level course that introduces learners to the basics of NetLogo and RAWGraphs through engaging assignments. This course is self-paced and students report that the workload is reasonable.
Self-paced learning.
"I have a good function in the skills but need more practice to become proficient."
Reasonable workload.
"I have a good function in the skills but need more practice to become proficient."
Appropriate amount of practice.
"I have a good function in the skills but need more practice to become proficient."
Suitable for beginners.
"I have a good function in the skills but need more practice to become proficient."
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.
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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 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.
Data Visualization Specialist
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.
Systems Analyst
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.
Research Scientist
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.
Operations Research 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.
Data Analyst
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.
Statistician
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.
Management Consultant
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.
Sales 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.
Business Analyst
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.
Software Engineer
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.
Financial Analyst
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.
Marketing Analyst
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.
Product Manager
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.
Actuary
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.
For more career information including salaries, visit:
OpenCourser.com/course/5hego2/netlogo
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.
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.
Provides a comprehensive overview of agent-based modeling. It valuable resource for anyone who wants to learn more about this topic.
Save
Provides a comprehensive overview of complex adaptive systems. It valuable resource for anyone who wants to learn more about this topic.
Save
Provides a comprehensive overview of artificial life. It valuable resource for anyone who wants to learn more about this topic.
Classic work on the theory of evolution. It valuable resource for anyone who wants to learn more about this topic.
Classic work on the theory of evolution. It valuable resource for anyone who wants to learn more about this topic.
Save
Classic work on the theory of evolution. It valuable resource for anyone who wants to learn more about this topic.
Save
Classic work on the theory of evolution. It valuable resource for anyone who wants to learn more about this topic.
Save
Classic work on the theory of evolution. It valuable resource for anyone who wants to learn more about this topic.
Classic work on the theory of evolution. It valuable resource for anyone who wants to learn more about this topic.
Save
Classic work on the theory of evolution. It valuable resource for anyone who wants to learn more about this topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5hego2/netlogo
Share
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Danilo Oliveira Vaz
Language
English
Good to know
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
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