Please use this identifier to cite or link to this item: https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1634
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dc.contributor.authorWachowiak, Mark P.-
dc.contributor.editorCarroll, Heather-
dc.contributor.editorCharron, Kyle-
dc.contributor.otherSmolikova, Renata-
dc.contributor.otherHehn, Ryan-
dc.date.accessioned2022-09-14T19:28:51Z-
dc.date.available2022-09-14T19:28:51Z-
dc.date.issued2022-02-28-
dc.identifier750bf7f8-e98d-469b-b51f-504091c555ef-
dc.identifier.urihttps://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1634-
dc.description.sponsorshipThis 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.tableofcontentsI. Introduction To Data Science in The Digital Humanitiesen_US
dc.description.tableofcontentsII. What Is (Are) Data?en_US
dc.description.tableofcontentsIII. Big Data in The Digital Humanitiesen_US
dc.description.tableofcontentsIV. Big Data And “Smart Data” In the Digital Humanitiesen_US
dc.description.tableofcontentsV. An Introduction to and Overview Of Computer Programming Languagesen_US
dc.description.tableofcontentsVI. Machine Learning in The Digital Humanitiesen_US
dc.description.tableofcontentsVII. The “R Vs. Python” Debate in The Digital Humanitiesen_US
dc.description.tableofcontentsVIII. Information Visualizationen_US
dc.description.tableofcontentsIX. Interactive Visualization with Matplotlib And Plotlyen_US
dc.description.tableofcontentsX. Visual Analytics and Colour Modelsen_US
dc.description.tableofcontentsXI. Introduction to Text Analysis In Ren_US
dc.description.tableofcontentsXII. Geographic Information Systems (GIS)en_US
dc.language.isoengen_US
dc.publisherTeaching Hub, Nipissing Universityen_US
dc.relation.isformatofhttps://ecampusontario.pressbooks.pub/nudh2/en_US
dc.rightsCC BY-SA | https://creativecommons.org/licenses/by-sa/4.0/en_US
dc.subjectDigital Humanitiesen_US
dc.subjectProgrammingen_US
dc.titleDigital Humanities Tools and Techniques Ien_US
dc.title.alternativeContemporary Digital Humanitiesen_US
dc.typeLearning Objecten_US
dcterms.accessRightsOpen Accessen_US
dcterms.accessRightsOpen Access-
dcterms.educationLevelUniversity - Undergraduateen_US
dc.identifier.slughttps://openlibrary.ecampusontario.ca/catalogue/item/?id=750bf7f8-e98d-469b-b51f-504091c555ef-
ecO-OER.AdoptedNoen_US
ecO-OER.AncillaryMaterialNoen_US
ecO-OER.InstitutionalAffiliationNipissing Universityen_US
ecO-OER.ISNI0000 0000 8588 8547en_US
ecO-OER.ReviewedNoen_US
ecO-OER.AccessibilityStatementNoen_US
lrmi.learningResourceTypeEducational Uniten_US
lrmi.learningResourceTypeEducational Unit - Courseen_US
lrmi.learningResourceTypeInstructional Objecten_US
lrmi.learningResourceTypeInstructional Object - Lecture Materialen_US
lrmi.learningResourceTypeLearning Resourceen_US
lrmi.learningResourceTypeLearning Resource - Booken_US
lrmi.learningResourceTypeLearning Resource - Data/Dataseten_US
lrmi.learningResourceTypeLearning Resource - Reference Materialen_US
ecO-OER.POD.compatibleNoen_US
dc.description.abstractDefining 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.otherHumanitiesen_US
dc.subject.otherHumanities - Digital Humanitiesen_US
dc.subject.otherHumanities - History & Cultural Studiesen_US
dc.subject.otherSocial Sciencesen_US
dc.subject.otherSocial Sciences - Geographyen_US
dc.subject.otherSocial Sciences - Information Sciencesen_US
dc.subject.otherTechnologyen_US
dc.subject.otherTechnology - Computer Scienceen_US
dc.subject.otherTechnology - Programming & Programsen_US
dc.subject.otherTechnology - Research & Dataen_US
ecO-OER.VLS.projectIDNIPI-852en_US
ecO-OER.VLS.CategoryDigital Content - Create a New Online Programen_US
ecO-OER.VLSYesen_US
ecO-OER.CVLPNoen_US
ecO-OER.ItemTypeCourseen_US
ecO-OER.ItemTypeInstructional Objecten_US
ecO-OER.ItemTypeLearning Resourceen_US
ecO-OER.MediaFormatOtheren_US
ecO-OER.VLS.cvlpSupportedNoen_US
Appears in Collections:Ontario OER Collection
VLS Collection

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