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Danilo Oliveira Vaz
In this 1-hour long project-based course, you will create an interactive multi-elements relationship map, as well as design visualizations for a real-world social network, based on metrics analyses.
Read more
In this 1-hour long project-based course, you will create an interactive multi-elements relationship map, as well as design visualizations for a real-world social network, based on metrics analyses.
Read more
In this 1-hour long project-based course, you will create an interactive multi-elements relationship map, as well as design visualizations for a real-world social network, based on metrics analyses.
Besides helping you to make sense of complex data, relationship maps like the ones we will build here are a great medium to visually present Causal Loop and Stock and Flow diagrams, as well as non-linear dynamics within an ecosystem.
This project will also introduce you to some of the basic concepts behind network theory, which will inform the analyses and interpretations of the maps you will create.
The art and craft of creating and communicating relationship maps is applicable to a wide range of areas, from design and software engineering, to organization consultancy and community building. And this project is an accessible opportunity for anyone to get some hands-on practice and knowledge on this subject. So let's map!
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/fmqae2/introduction
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Syllabus
Introduction to Systems & Network Mapping with Kumu
By the end of this project, you will create an interactive multi-elements relationship map; and you will run network metrics analyses on a real-world social network. This project will also introduce you to some of the basic concepts behind network theory, which will inform the analyses and interpretations of the maps you will create. The art and craft of creating and communicating relationship maps is applicable to a wide range of areas, from design and software engineering, to organization consulting and community building. So I hope that you will enjoy learning more about this in the next hour.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores methods for visualizing complex data like Causual Loops, Stock and Flows, and ecosystem dynamics in addition to relationships
Introduces basic concepts behind network theory
Applies relationship maps to a range of fields including design, software engineering, organization consulting, and community building
Taught by research scientist and professor Danilo Oliveira Vaz
Creates interactive multi-element relationship maps
Facilitates network metrics analysis using a real-world social network
Save this course
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Reviews summary
Solid introduction to kumu
Learners say this course is worthwhile for those interested in learning or brushing up on Kumu mapping software. Students mention that the lectures are engaging and the cloud desktop feature is helpful in practicing concepts. However, some learners found issues with the quiz and with importing data sets.
Easy to follow
"Good"
"great experience"
"Fantastic Learning from Coursera"
Helpful for using Kumu
"A quick way to get comfortable with Kumu"
"the feature of having the cloud desktop is pretty legit"
Found quiz to be tedious
"the quiz was very tedious and a waste of time"
Issues with importing data
"Couldn't import the large dataset (the setting didn't appear at all...)"
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 Introduction to Systems and Network Mapping with Kumu with these
activities:
Organize and review course materials
Show steps
Enhance your ability to locate and access course materials efficiently, which will save you time and effort throughout the course.
Show steps
-
Create a dedicated folder for course materials.
-
Download and save all course materials.
-
Organize the materials into subfolders by topic.
-
Review the materials regularly to reinforce your learning.
Review basic concepts in statistics
Show steps
Ensure that you have a strong foundation in basic statistics, which will be essential for understanding the course material.
Browse courses on
Statistics
Show steps
-
Review your notes from a previous statistics course.
-
Take a practice quiz or exam.
-
Watch a tutorial video on basic statistics.
Read 'Network Analysis: Mapping and Measuring Relationships'
Show steps
Solidify your understanding of the basic concepts behind network theory, which will inform the analyses and interpretations of the maps you will create.
View
The SAGE Handbook of Social Network Analysis
on Amazon
Show steps
-
Acquire a copy of the book.
-
Read chapters 1-3.
-
Take notes on key concepts and definitions.
-
Complete the practice exercises at the end of each chapter.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice creating relationship maps with Kumu
Show steps
Gain hands-on experience in creating and manipulating relationship maps, which will help you complete the project-based course assignment.
Show steps
-
Sign up for a free Kumu account.
-
Create a new relationship map.
-
Add nodes and edges to your map.
-
Experiment with different visualization options.
-
Share your map with others for feedback.
Participate in a peer review session
Show steps
Gain feedback on your work from your peers, which can help you identify areas for improvement and ensure that you are meeting the course learning objectives.
Show steps
-
Find a peer who is also taking the course.
-
Schedule a time to meet and discuss your work.
-
Provide feedback to your peer on their work.
-
Incorporate feedback into your own work.
Design visualizations for a real-world social network
Show steps
Apply your newfound skills in network analysis and visualization to a practical problem, which will help you master the course material.
Show steps
-
Choose a real-world social network to analyze.
-
Collect data on the network.
-
Use Kumu to create visualizations of the network.
-
Analyze the visualizations to identify patterns and insights.
-
Present your findings in a report or presentation.
Mentor a new student in the course
Show steps
Reinforce your understanding of the course material by helping others, which can deepen your own learning.
Show steps
-
Identify a new student who is struggling in the course.
-
Offer to help them with their work.
-
Meet with the student regularly to provide guidance and support.
-
Encourage the student to ask questions and seek help.
Connect with an expert in network analysis
Show steps
Gain access to valuable insights and guidance from an expert in the field, which can accelerate your learning and help you achieve your goals.
Show steps
-
Identify potential mentors through professional networking or online platforms.
-
Reach out to your mentors and express your interest in their expertise.
-
Schedule a meeting to discuss your goals and seek their guidance.
Contribute to an open-source project on network analysis
Show steps
Apply your skills in network analysis to a real-world problem while contributing to the community, which can enhance your learning and boost your professional profile.
Show steps
-
Identify an open-source project related to network analysis.
-
Review the project's documentation and codebase.
-
Identify an area where you can contribute your skills.
-
Submit a pull request with your contributions.
-
Collaborate with other contributors to refine your work.
Organize and review course materials
Show steps
Enhance your ability to locate and access course materials efficiently, which will save you time and effort throughout the course.
Show steps
Show steps
Show steps
- Create a dedicated folder for course materials.
- Download and save all course materials.
- Organize the materials into subfolders by topic.
- Review the materials regularly to reinforce your learning.
Review basic concepts in statistics
Show steps
Ensure that you have a strong foundation in basic statistics, which will be essential for understanding the course material.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes from a previous statistics course.
- Take a practice quiz or exam.
- Watch a tutorial video on basic statistics.
Read 'Network Analysis: Mapping and Measuring Relationships'
Show steps
Solidify your understanding of the basic concepts behind network theory, which will inform the analyses and interpretations of the maps you will create.
View
The SAGE Handbook of Social Network Analysis
on Amazon
Show steps
Show steps
Show steps
- Acquire a copy of the book.
- Read chapters 1-3.
- Take notes on key concepts and definitions.
- Complete the practice exercises at the end of each chapter.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice creating relationship maps with Kumu
Show steps
Gain hands-on experience in creating and manipulating relationship maps, which will help you complete the project-based course assignment.
Show steps
Show steps
Show steps
- Sign up for a free Kumu account.
- Create a new relationship map.
- Add nodes and edges to your map.
- Experiment with different visualization options.
- Share your map with others for feedback.
Participate in a peer review session
Show steps
Gain feedback on your work from your peers, which can help you identify areas for improvement and ensure that you are meeting the course learning objectives.
Show steps
Show steps
Show steps
- Find a peer who is also taking the course.
- Schedule a time to meet and discuss your work.
- Provide feedback to your peer on their work.
- Incorporate feedback into your own work.
Design visualizations for a real-world social network
Show steps
Apply your newfound skills in network analysis and visualization to a practical problem, which will help you master the course material.
Show steps
Show steps
Show steps
- Choose a real-world social network to analyze.
- Collect data on the network.
- Use Kumu to create visualizations of the network.
- Analyze the visualizations to identify patterns and insights.
- Present your findings in a report or presentation.
Mentor a new student in the course
Show steps
Reinforce your understanding of the course material by helping others, which can deepen your own learning.
Show steps
Show steps
Show steps
- Identify a new student who is struggling in the course.
- Offer to help them with their work.
- Meet with the student regularly to provide guidance and support.
- Encourage the student to ask questions and seek help.
Connect with an expert in network analysis
Show steps
Gain access to valuable insights and guidance from an expert in the field, which can accelerate your learning and help you achieve your goals.
Show steps
Show steps
Show steps
- Identify potential mentors through professional networking or online platforms.
- Reach out to your mentors and express your interest in their expertise.
- Schedule a meeting to discuss your goals and seek their guidance.
Contribute to an open-source project on network analysis
Show steps
Apply your skills in network analysis to a real-world problem while contributing to the community, which can enhance your learning and boost your professional profile.
Show steps
Show steps
Show steps
- Identify an open-source project related to network analysis.
- Review the project's documentation and codebase.
- Identify an area where you can contribute your skills.
- Submit a pull request with your contributions.
- Collaborate with other contributors to refine your work.
Career center
Learners who complete Introduction to Systems and Network Mapping with Kumu will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their understanding of network theory, statistics, and data visualization to extract insights from complex datasets. This course provides a foundation in network mapping and analysis techniques that can be directly applied to data science work. By learning how to create visual representations of relationships between data points, Data Scientists can gain a deeper understanding of the structure and dynamics of complex systems.
Market Researcher
Market Researcher
Market Researchers use network mapping to understand the relationships between consumers, brands, and products. This course provides a practical introduction to network mapping techniques that can be used to identify trends, segment markets, and develop marketing strategies. By learning how to create visual representations of consumer behavior, Market Researchers can gain a deeper understanding of the dynamics of the marketplace.
Business Analyst
Business Analyst
Business Analysts use network mapping to understand the relationships between different parts of a business. This course provides a foundation in network mapping and analysis techniques that can be used to identify inefficiencies, improve processes, and make better decisions. By learning how to create visual representations of business relationships, Business Analysts can gain a deeper understanding of the structure and dynamics of their organizations.
Systems Engineer
Systems Engineer
Systems Engineers use network mapping to understand the relationships between different components of a system. This course provides a foundation in network mapping and analysis techniques that can be used to design, build, and maintain complex systems. By learning how to create visual representations of system relationships, Systems Engineers can gain a deeper understanding of the structure and dynamics of the systems they work on.
Software Engineer
Software Engineer
Software Engineers use network mapping to understand the relationships between different parts of a software system. This course provides a foundation in network mapping and analysis techniques that can be used to design, build, and maintain complex software systems. By learning how to create visual representations of software relationships, Software Engineers can gain a deeper understanding of the structure and dynamics of the systems they work on.
Product Manager
Product Manager
Product Managers use network mapping to understand the relationships between different stakeholders in a product development process. This course provides a foundation in network mapping and analysis techniques that can be used to identify customer needs, develop product strategies, and manage product roadmaps. By learning how to create visual representations of stakeholder relationships, Product Managers can gain a deeper understanding of the dynamics of the product development process.
Project Manager
Project Manager
Project Managers use network mapping to understand the relationships between different tasks and resources in a project. This course provides a foundation in network mapping and analysis techniques that can be used to plan, execute, and control projects. By learning how to create visual representations of project relationships, Project Managers can gain a deeper understanding of the structure and dynamics of their projects.
Operations Manager
Operations Manager
Operations Managers use network mapping to understand the relationships between different parts of an operation. This course provides a foundation in network mapping and analysis techniques that can be used to improve efficiency, reduce costs, and increase productivity. By learning how to create visual representations of operational relationships, Operations Managers can gain a deeper understanding of the structure and dynamics of their operations.
Risk Manager
Risk Manager
Risk Managers use network mapping to understand the relationships between different risks in an organization. This course provides a foundation in network mapping and analysis techniques that can be used to identify, assess, and mitigate risks. By learning how to create visual representations of risk relationships, Risk Managers can gain a deeper understanding of the structure and dynamics of their organizations.
Consultant
Consultant
Consultants use network mapping to understand the relationships between different stakeholders in a consulting project. This course provides a foundation in network mapping and analysis techniques that can be used to identify client needs, develop consulting strategies, and manage consulting projects. By learning how to create visual representations of stakeholder relationships, Consultants can gain a deeper understanding of the dynamics of the consulting process.
Teacher
Teacher
Teachers use network mapping to understand the relationships between different students in a classroom. This course provides a foundation in network mapping and analysis techniques that can be used to create a positive learning environment, manage student behavior, and assess student learning. By learning how to create visual representations of student relationships, Teachers can gain a deeper understanding of the dynamics of the classroom.
Nonprofit Manager
Nonprofit Manager
Nonprofit Managers use network mapping to understand the relationships between different stakeholders in a nonprofit organization. This course provides a foundation in network mapping and analysis techniques that can be used to identify donor needs, develop fundraising strategies, and manage nonprofit programs. By learning how to create visual representations of stakeholder relationships, Nonprofit Managers can gain a deeper understanding of the dynamics of the nonprofit sector.
Community Organizer
Community Organizer
Community Organizers use network mapping to understand the relationships between different people and organizations in a community. This course provides a foundation in network mapping and analysis techniques that can be used to identify community needs, develop community programs, and build community coalitions. By learning how to create visual representations of community relationships, Community Organizers can gain a deeper understanding of the dynamics of the community.
Policy Analyst
Policy Analyst
Policy Analysts use network mapping to understand the relationships between different stakeholders in a policy process. This course provides a foundation in network mapping and analysis techniques that can be used to identify policy needs, develop policy strategies, and analyze policy impacts. By learning how to create visual representations of stakeholder relationships, Policy Analysts can gain a deeper understanding of the dynamics of the policy process.
Journalist
Journalist
Journalists use network mapping to understand the relationships between different people and organizations in a story. This course provides a foundation in network mapping and analysis techniques that can be used to identify sources, develop story ideas, and write compelling stories. By learning how to create visual representations of relationships, Journalists can gain a deeper understanding of the dynamics of the stories they cover.
For more career information including salaries, visit:
OpenCourser.com/course/fmqae2/introduction
Reading list
We've selected nine 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
Introduction to Systems and Network Mapping with Kumu.
Save
An in-depth exploration of the history, theories, and applications of network analysis, and a valuable supplemental text for the course's exploration of network theory.
A core text in network science, providing a broad overview of network theory and practical applications.
A comprehensive overview of network science, providing additional depth to the course's exploration of network metrics and theories.
A concise introduction to network science, serving as a useful complement to the course's overview of network theory.
A practical guide to network analysis and visualization, providing valuable insights into the course's emphasis on creating clear and informative relationship maps.
A classic text in social network analysis, providing valuable background knowledge for the course's exploration of social networks.
Save
A comprehensive overview of social network analysis methods, providing additional depth to the course's exploration of network metrics and theories.
A specialized text on statistical methods for social networks, providing additional depth to the course's exploration of network metrics and theories.
A practical guide to network analysis, providing valuable insights into the course's focus on creating relationship maps.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fmqae2/introduction
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Effort
60 minutes
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Danilo Oliveira Vaz
Language
English
Good to know
Explores methods for visualizing complex data like Causual Loops, Stock and Flows, and ecosystem dynamics in addition to relationships
Introduces basic concepts behind network theory
Applies relationship maps to a range of fields including design, software engineering, organization consulting, and community building
Taught by research scientist and professor Danilo Oliveira Vaz
Creates interactive multi-element relationship maps
Facilitates network metrics analysis using a real-world social network
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