Section outline
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Course Overview
Course Overview
This course is designed to explore the foundations of digital humanities, tailored for students engaging with the topic for the first time. It aims to provide learners with a clear understanding of what digital humanities is and its applications in research, incorporating practical exercises and activities to encourage engagement with its concepts and techniques.
Learning Outcomes
This course will help you to:
- Learn what digital humanities is and how it connects technology with humanities work
- Recognize real examples of how digital tools can help with humanities research and learning
- Identify key terms and ideas used in digital humanities
- Get to know common digital tools and how to use them for studying and teaching
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Course Instructor: Victoria María Taborelli
Course Instructor: Victoria María Taborelli
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Pre-Course Self Assessment
Pre-Course Self Assessment
Before you dive into this course, spend a few moments reflecting on your familiarity with the topic and your current level of skills confidence.
You will then re-visit the same questions in our Post-Course Self Assessment and reflect on how the course has helped you develop in confidence and grow your skills.
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Module One: What Is Digital Humanities?
This module will help you to:
- Define digital humanities and its interdisciplinary scope
- Assess existing humanities projects to recognize why they use digital methods
- Evaluate current debates of digital humanities in academia
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Module Two: Tools and Technologies
This module will help you to:
- Identify the key tools used in digital humanities
- Evaluate and choose suitable digital tools for specific projects and research questions
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Compare the potential uses and limitations of StoryMap JS, AcrGIS StoryMaps, Flourish, Palladio, and Voyant
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Module Three: How Do We Work With Textual Data?
This module will help you to:
- Identify basic aspects of what is and how to use textual data for humanistic inquiries
- Access existing datasets and create new ones for text analysis
- Analyze a textual dataset using Topic Modelling with Voyant
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Module Four: Data Management, Audience and Web Publishing Platforms
This module will help you to:
- Explain data management principles and the FAIR and CARE principles
- Reflect on project goals and audience considerations
- Evaluate the suitability of Omeka, Mukurtu, and Scalar for your project
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References and Glossary of Key Terms
References and Glossary of Key Terms
In addition to the glossary you’ll find woven throughout the course, you can find the full glossary collated in one place here.
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Post-Course Self Assessment
Post-Course Self Assessment
Now you’ve completed the course, spend a few moments reflecting on where your familiarity with the topics and your confidence skills levels are at now.
Has the course helped you develop new skills and grow your confidence?
You'll need to complete the Post-Course Self Assessment in order to download your certificate. If you didn't do the Pre-Course Self Assessment before starting the course, please go to the top of the page and reflect on your familiarity with the topic and your level of skills confidence before you started the course.
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Completion: Certificate
Completion: Certificate
Completing all modules (plus the pre and post-course assessments) will unlock the course certificate, which you can then download here. Your course certificate will only be made available once you have completed all these sections.
If you have difficulty accessing your certificate, please contact the Sage support team at: onlinesupport@sagepub.co.uk. You can also check out this FAQ page which may be helpful.
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Give Feedback About This Course
Give Feedback About This Course
Did you enjoy the course? Please take two minutes to share your feedback. We use learner feedback in future course updates and developments to provide an excellent learning experience.
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Accessibility
Accessibility
We have high standards of accessibility on Sage Campus and as of May/June 2024 all activities within this course are keyboard and screen reader compatible. For more details on accessibility standards, please see the Sage Campus Accessibility Guide.
For those using assistive technology, please note that within this course:
- Tab components: JAWS and NVDA behave slightly differently. For NVDA to keep reading, it is best to exit focus mode and go back to browse mode.
- Matching: JAWS does not read out question label on dropdown focus.
Original Publication date: 03-2025Last Updated: 06-2026