Introduction to Text Encoding: Contemplating a text-encoding project? This introduction to the theory and practice of encoding electronic texts is for you. The course is also suitable for those who would like to better understand the philosophy, theory, and practicalities of encoding in XML (Extensible Markup Language) using the Text Encoding Initiative (TEI) Guidelines in order to aid others who are embarking on a project or to facilitate the assessment of others’ TEI-based scholarship. No prior experience with XML is assumed, but the course will move quickly through the basics.
Intro to NLP and Network Apps: The machine will read and write in our own language, if we can speak its own language. And if we do, it will help us understand our language better, and thus read, understand, and critically assess texts faster, better, and in greater amounts than we could ever do on our own. It will actually be able to do all this for us on its own. That is natural language processing—NLP. And that involves automatically reading countless texts and comparing their most salient features in a matter of seconds. Books, collections, whole libraries, and entire literatures can thus be automatically analyzed and visualized as networks based on these shared or distinctive features. Assembling and exploring those networks is not only incredibly fun, it will also help to better posit the question: what is the most comprehensive meaning of our linguistic textual culture?
How to Preserve, Share, and Discover Datasets: This workshop will address topics in the curation of digital research data in each of the phases of its lifecycle, including its generation, acquisition, meta-data, archiving and retrieval. We will examine the structure and organization of research datasets in a sample of disciplines and examine how they are managed, referenced, used and re-purposed. The workshop will cover the identification and formats for data, the metadata standards used for documenting data (such as DDI), their publication in data archives and repositories, the application of linked-data in the digital humanities and some of the technologies for data analytics, including visualization tools. Some of the social aspects of data management such as sharing and attribution, data-management policies, open access and privacy will also be addressed.
Introduction to 3D Printing: 3D printing has become a popular tool in the maker community as well as in educational settings in recent years. It is not only used to make toys, prototype engineering projects or teach geometry and math, but you can make anything you want with limitless possibilities. This 10-hour workshop will introduce you to 3D modelling with various softwares, the intricacies that can go with printing a model in 3D as well as other technologies like 3D scanning, time permitting. You will learn 3D modelling from scratch with primitive and more advanced softwares, to edit an existing 3D model for your needs, to use 3D printer slicers to obtain a successful print, the fundamental mechanics of a FDM (Fused Deposition Modeling) 3D printer and some finishing processes for 3D prints.
New Media Interdisciplinary Design: This workshop will survey the theory and effects of quantifiable data on human activity, and will explore how an interdisciplinary design approach employing media with data processing can be a form of creative resilience. From new media visualization samples to common text applications, digital forms of data will be examined in open-source programs to offer an alternate means of producing insights through the creative design process. Attendees will participate in a workshop designed to critically examine the challenges and beauty of automated environments.
Intro to Digital Sculpture: This workshop explores intersections between the enduring artistic motif of the self-portrait and new technologies. Students will learn how to digitally replicate their own faces and then print the final product in 3D. The workshop will offer a comprehensive introduction to 3D scanning, mesh-molding and 3D printing. Although oriented around the human figure, the workshop offers capabilities that go beyond an artistic context. Students will be able to translate this practical knowledge into many other applications such as digital fabrication, virtual reality, gaming and design.
Introduction à la ludologie|Introduction to Game Studies: Le jeu vidéo se retrouve depuis près de deux décennies au centre d’un champ d’étude interdisciplinaire dynamique, la ludologie, autrement connue sous son nom anglais de « games studies ». Cet atelier invite les participants à s’initier au sujet par le biais d’une perspective historique, c’est-à-dire en faisant le survol double de l’histoire du jeu vidéo et de l’histoire dans le jeu vidéo. Par la théorie et la pratique (c’est-à-dire en jouant !), nous explorerons un certain nombre de questions fondamentales. Comment peut-on apprendre par le jeu? Les jeux qui mettent en vedette l’histoire canadienne – et tout particulièrement ceux qui abordent les enjeux brûlants de la colonisation et de l’autochtonie – nous serviront de laboratoire.
Mapping and Spatial Methods for the Humanities: Most things happen somewhere, and mapping can be an effective technique for exploring, analysing, and presenting many types of data. This interactive workshop is designed for researchers who are interested in adding a spatial dimension to their research. In this 10-hour workshop, participants will be introduced to Geographic Information Systems (GIS) techniques from a humanist’s perspective. Starting from primary sources, participants will learn how to extract spatial “clues” from many types of primary sources, create and manipulate GIS-friendly data, transform addresses and place names into coordinates and web maps and use georeferencing techniques to bring digitized historical maps into GIS software.
Social Media Analysis: What does one’s lively presence in social media tell everybody else? Besides the latest updates on one’s travels, meals, and academic publications, social media offer a wealth of ‘unhealthy’ issues, such as cyberbullying or depression. Can we solve those problems with specific intervention? This is an introduction to the methods and practices of online text analysis (natural language processing) for those online phenomena you want to catch and ultimately avoid. The course is also suitable for those who would like to better understand the computational package behind it, social network analysis , annotation, online text downloading, and acquire basic knowledge of machine learning (AI). No prior experience is required.
Introduction to Deep Learning: Intelligent species are capable of doing magnificent things mainly due to their Central Nervous System (CNS). The CNS is responsible for the low-level and high-level processing of information available in its surroundings. (Artificial) Neural Networks (ANNs) are an effort to replicate, in a machine, the type of processing the CNS carries out, and Deep (Artificial) Neural Networks (DNNs) achieve so by capturing complex non-linear relationships present in the data, through layers of information transformation. In this course you will be introduced to the basics of neural network algorithms and acquire hands-on experience with a few archetypes of deep neural networks to tackle real world artificial intelligence tasks using Python and TensorFlow. The course does not require any prior knowledge or skills, only your curiosity.