1 - 10 of 19 results for: digital humanities

Students explore exemplary historical works based on oral histories and develop a range of practical skills while completing their own interviews. Topics include oral history and narrative theory, interview techniques, transcript preparation, and digital archiving. Students also learn how to analyze interviews using both qualitative and quantitative methods, practice writing history using oral evidence, and experiment with digital humanities approaches for disseminating oral history, including the Stanford Oral History Text Analysis Project. This course forms part of the "Doing History" series: rigorous undergraduate colloquia that introduce the practice of history within a particular field or thematic area.

This is a survey course designed to acquaint master¿s and doctoral students in East Asian Studies with the latest English-language scholarship on modern China, broadly defined, across the humanities and interpretive social sciences. Each time the course is offered (once every two or three years), the disciplinary/thematic emphasis shifts and the readings are completely different. The course may be repeated up to 3 times. This year, we focus on innovative scholarship in the ¿New Humanities,¿ including environmental humanities, health humanities, and digital humanities. Future topics include sinophone studies, film and visual culture, sensory studies, translation studies, genre fiction, queer studies, animal studies, new media and internet literature, world literature, cognitive approaches, literature (& philosophy, law, anthropology, history, psychology, religion, etc.), and so on.

This is a survey course designed to acquaint master¿s and doctoral students in East Asian Studies with the latest English-language scholarship on modern China, broadly defined, across the humanities and interpretive social sciences. Each time the course is offered (once every two or three years), the disciplinary/thematic emphasis shifts and the readings are completely different. The course may be repeated up to 3 times. This year, we focus on innovative scholarship in the ¿New Humanities,¿ including environmental humanities, health humanities, and digital humanities. Future topics include sinophone studies, film and visual culture, sensory studies, translation studies, genre fiction, queer studies, animal studies, new media and internet literature, world literature, cognitive approaches, literature (& philosophy, law, anthropology, history, psychology, religion, etc.), and so on.

This course will introduce students to methods for computationally analyzing literary, archaeological and historical evidence from the ancient Mediterranean world. Students will acquire programming skills in Python and experience with data science practices, while reading and discussing foundational essays in digital humanities as well as case studies of digital research in classics. Final projects will offer students' the opportunity to explore acquired skills in their areas of interest. No prior programming experience required.

What kind of data is literature? What different methods are available to scholars who work with it, and what are the philosophical assumptions that underpin those methods? In this course, we will survey major critical approaches to literature from the last century as well as emerging methods from the digital humanities, and try them out for ourselves. Students will construct their own portfolio of texts and each week they will (re)analyze them using a different approach; they will record their findings and reflect on their experiences in a weekly log. The course will comprise asynchronous activities (lectures, presentations, assignments, readings) and one synchronous meeting per week to discuss the readings. Approaches may include: formalism, structuralism, Marxism, psychoanalysis, critical approaches to identity and performance (gender, race, sexuality and disability), network analysis, topic modeling, stylometry, and word embeddings. No prior programming knowledge is expected. This course will not offer detailed training in computational analysis; rather, the focus will be on the theoretical implications of computational tools. All readings will be in English.

What if you could take a handwritten manuscript, or a pile of 100 books, and map all the locations that are referenced, or see which characters interact with one another, or how different translators adapted the same novel -- without reading through each text to manually compile those lists? Digital humanities tools and methods make it possible, but most tools and tutorials assume the texts are in English. If you work with text (literature, historical documents, fanfic, tweets, or any other textual material) in languages other than English, DLCL 204 is for you. No previous programming or other technical experience is required, just a reading knowledge of a language other than English (modern or historical). We'll cover the whole process of using digital tools, from start to finish: text acquisition, text enrichment, and analysis/visualization, all of which have applications in a wide range of job contexts within and beyond academia.

Interested in applying digital tools and methods to text, images, or other humanities research materials? This hands-on course will support you in planning and implementing your own digital project, using materials in any language. Working directly with a digital humanities expert, you will identify your own research question that can be addressed by digital methods, define a reasonable scope, and learn how to implement the methods you need to answer your research question. The course will include workshops on topics including data management, project management, and how to talk about your work both in academic contexts, and as part of your portfolio for applying to jobs in other fields.

What if you could take a handwritten manuscript, or a pile of 100 books, and map all the locations that are referenced, or see which characters interact with one another, or how different translators adapted the same novel -- without reading through each text to manually compile those lists? Digital humanities tools and methods make it possible, but most tools and tutorials assume the texts are in English. If you work with text (literature, historical documents, fanfic, tweets, or any other textual material) in languages other than English, DLCL 204 is for you. No previous programming or other technical experience is required, just a reading knowledge of a language other than English (modern or historical). We'll cover the whole process of using digital tools, from start to finish: text acquisition, text enrichment, and analysis/visualization, all of which have applications in a wide range of job contexts within and beyond academia.

What does it look like to manage a collaborative project in a way that's both effective and ethical, taking into account the needs of people as well as the task? This class will cover project management and collaboration as they are practiced in digital humanities, "alt-ac" (alternative academic) jobs, and similar environments outside academia. In addition to readings and discussion, students will participate in a simulation of one year in the life of a digital humanities project (in the style of Dungeons and Dragons and similar role-playing games), with each student playing the role of a member on the project team.