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Digital Humanities Tools and Techniques I

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dc.contributor.author Wachowiak, Mark P.
dc.contributor.editor Carroll, Heather
dc.contributor.editor Charron, Kyle
dc.contributor.other Smolikova, Renata
dc.contributor.other Hehn, Ryan
dc.date.accessioned 2022-09-14T19:28:51Z
dc.date.available 2022-09-14T19:28:51Z
dc.date.issued 2022-02-28
dc.identifier 750bf7f8-e98d-469b-b51f-504091c555ef
dc.identifier.uri https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1634
dc.description.sponsorship This project is made possible with funding by the Government of Ontario and through eCampusOntario’s support of the Virtual Learning Strategy. en_US
dc.description.tableofcontents I. Introduction To Data Science in The Digital Humanities en_US
dc.description.tableofcontents II. What Is (Are) Data? en_US
dc.description.tableofcontents III. Big Data in The Digital Humanities en_US
dc.description.tableofcontents IV. Big Data And “Smart Data” In the Digital Humanities en_US
dc.description.tableofcontents V. An Introduction to and Overview Of Computer Programming Languages en_US
dc.description.tableofcontents VI. Machine Learning in The Digital Humanities en_US
dc.description.tableofcontents VII. The “R Vs. Python” Debate in The Digital Humanities en_US
dc.description.tableofcontents VIII. Information Visualization en_US
dc.description.tableofcontents IX. Interactive Visualization with Matplotlib And Plotly en_US
dc.description.tableofcontents X. Visual Analytics and Colour Models en_US
dc.description.tableofcontents XI. Introduction to Text Analysis In R en_US
dc.description.tableofcontents XII. Geographic Information Systems (GIS) en_US
dc.language.iso eng en_US
dc.publisher Teaching Hub, Nipissing University en_US
dc.relation.isformatof https://ecampusontario.pressbooks.pub/nudh2/ en_US
dc.rights CC BY-SA | https://creativecommons.org/licenses/by-sa/4.0/ en_US
dc.subject Digital Humanities en_US
dc.subject Programming en_US
dc.title Digital Humanities Tools and Techniques I en_US
dc.title.alternative Contemporary Digital Humanities en_US
dc.type Learning Object en_US
dcterms.accessRights Open Access en_US
dcterms.accessRights Open Access
dcterms.educationLevel University - Undergraduate en_US
dc.identifier.slug https://openlibrary.ecampusontario.ca/catalogue/item/?id=750bf7f8-e98d-469b-b51f-504091c555ef
ecO-OER.Adopted No en_US
ecO-OER.AncillaryMaterial No en_US
ecO-OER.InstitutionalAffiliation Nipissing University en_US
ecO-OER.ISNI 0000 0000 8588 8547 en_US
ecO-OER.Reviewed No en_US
ecO-OER.AccessibilityStatement No en_US
lrmi.learningResourceType Educational Unit en_US
lrmi.learningResourceType Educational Unit - Course en_US
lrmi.learningResourceType Instructional Object en_US
lrmi.learningResourceType Instructional Object - Lecture Material en_US
lrmi.learningResourceType Learning Resource en_US
lrmi.learningResourceType Learning Resource - Book en_US
lrmi.learningResourceType Learning Resource - Data/Dataset en_US
lrmi.learningResourceType Learning Resource - Reference Material en_US
ecO-OER.POD.compatible No en_US
dc.description.abstract Defining the digital humanities (DH) is an elusive task. It is an emerging interdisciplinary field that encompasses humanities scholarship, computation, analysis, and applications. DH is a vast field with many sub-areas of scholarship. Consequently, the six courses in this certificate are limited to a small number of timely and relevant topics. The first course is a contemporary introduction to the digital humanities covering: current and emerging sub-areas; major digital humanities projects; the importance of the Internet; an introduction to basic computational terminology and methods; the basic concepts of text processing; the relationship between tools and methods; criticisms of the digital humanities; and possible futures of the digital humanities. The second course introduces the fundamental concepts of tool-building techniques in the digital humanities. It includes the principles of data science; Big Data; visualization (an increasingly important component in digital humanities scholarship); and the basics of Python and R, the two most widely used programming languages for tool-building in humanities scholarship; implementations of basic text processing methods, and other applications. Python and R code is provided for the examples in this course. In addition, most of the figures were generated with Python or R code, and this code is also provided. The third course focuses on intermediate and advanced text processing techniques and visualization methods in the digital humanities. Python and R code are again provided for all examples. Digital tools and techniques are presented for different application areas. In addition to interactive tutorials, advanced techniques that are increasingly used in humanities scholarship, including machine learning, are introduced in a non-mathematical manner. The fourth course examines the application of open access digital technology, such as machine actionable lexicographical tools, digital text repositories, and digitized collections of ancient material culture, to otherwise traditional methods and techniques of Classical Studies research. The fifth course examines how the reception of Ancient Greece and Rome in the modern world has taken new directions through digital technology, including the storage and dissemination of pre-digital receptions in digital form. It explores the reception of the Classical World in digital cinema and TV, digital gaming, and in the performance of Greek tragedy both in digital environments and in virtual reality. The sixth course focuses on the emerging area of the spatial humanities, with emphasis given to digital history and digital storytelling. Learners are introduced to GIS tools. They also learn how to access, interpret, and synthesize spatial and archival data and create their own digital maps, using historical GIS to communicate place-based narratives. en_US
dc.subject.other Humanities en_US
dc.subject.other Humanities - Digital Humanities en_US
dc.subject.other Humanities - History & Cultural Studies en_US
dc.subject.other Social Sciences en_US
dc.subject.other Social Sciences - Geography en_US
dc.subject.other Social Sciences - Information Sciences en_US
dc.subject.other Technology en_US
dc.subject.other Technology - Computer Science en_US
dc.subject.other Technology - Programming & Programs en_US
dc.subject.other Technology - Research & Data en_US
ecO-OER.VLS.projectID NIPI-852 en_US
ecO-OER.VLS.Category Digital Content - Create a New Online Program en_US
ecO-OER.VLS Yes en_US
ecO-OER.CVLP No en_US
ecO-OER.ItemType Course en_US
ecO-OER.ItemType Instructional Object en_US
ecO-OER.ItemType Learning Resource en_US
ecO-OER.MediaFormat Other en_US
ecO-OER.VLS.cvlpSupported No en_US


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