Overview
This two-part course will see participants build upon a general understanding of the Python language to develop specific analytical approaches to their humanities data — numerical, textual and visual.
Session 1, 5 April 1-3pm – Working with Visual Sources
Participants will put their introductory Python skills to work by acquiring, cleaning and performing a image analysis techniques on a variety of non-textual materials, allowing them to add quantitative detail and specificity to their interpretations of these sources.
Session 2, 6 April 1-3pm – Creating Visualisations of Non-Visual Sources
With a solid understanding of MatPlotLib and the other visual analysis libraries used in session one, participants will create their own visualisations of digital texts, ideal of for both further analysis and a final presentation of results.
>When booking onto this course, you will be automatically registered on both sessions. If you are unable to attend both sessions please do not apply.
About the Instructor
Dr Melodee Beals is a Senior Lecturer in Digital History in the School of Social Sciences and Humanities at Loughborough University, UK. Her research explores the ways in which the movement of peoples and ideas intersect and the practical traces of imagined communities within the Anglophone World.
As an advocate of the Digital Humanities and Open Research, she works to develop and promote computer-aided methodologies through her roles as history editor for the Open Library of Humanities and Fellow of the Software Sustainability Institute.
Applications
Applying for this workshop does not guarantee you will be offered a place. As part of the application process, you will be asked to provide a brief explanation of how attending this workshop will benefit your research. You may find it useful to write this piece before attempting to register for the event.
After the application deadline has passed, submissions will be considered, and successful applicants will be offered a place by e-mail. This process will help to ensure that each of the N8 universities are represented at, and benefit from the course.
This event is only open to those working or studying at one of the N8 Research Partnership universities. Please register using your academic (.ac.uk) e-mail address to help verify your eligibility for this course. If you do not use this address, your application may not be considered.
