DHUM 70000 - Introduction to Digital Humanities #62523
Wednesday, 4:15 - 6:15 PM, 3 Credits, Rm. 5417, Profs. Matthew Gold (firstname.lastname@example.org) and Kelly Josephs (email@example.com)
In this introduction to the digital humanities (DH), we will approach the field via a Caribbean Studies lens, exploring how an understanding of the digital based in the growing area of digital Caribbean studies might shape the larger field of DH.
The course aims to provide a landscape view of DH, paying attention to how its various approaches embody new ways of knowing and thinking, new epistemologies. What kinds of questions, for instance, does the practice of mapping pose to our research and teaching? How does the concept of mapping change when we begin from the Global South? When we attempt to share our work through social media, how is it changed and who do we imagine it reaches? How can we visually and ethically represent various forms of data and how does the data morph in the representation?
Over the course of this semester, we will explore these questions and others as we engage ongoing debates in the digital humanities, such as the problem of defining the digital humanities, the question of whether DH has (or needs) theoretical grounding, controversies over new models of peer review for digital scholarship, issues related to collaborative labor on digital projects, and the problematic questions surrounding research involving “big data.” The course will also emphasize the ways in which DH has helped transform the nature of academic teaching and pedagogy in the contemporary university with its emphasis on collaborative, student-centered and digital learning environments and approaches.
Central themes in the course will emerge from our focus on the Caribbean -- in particular, how various technologies and technical approaches have been shaped by colonial practices; how archives might be decolonized and how absences in the archives might be accounted for; and how concepts like minimal computing might alter the projects we build.
Though no previous technical skills are required, students will be asked to experiment in introductory ways with DH tools and methods as a way of concretizing some of our readings and discussions. Students will be expected to participate actively in class discussions and online postings (including on our course blog) and to undertake a final project that can be either a conventional seminar paper or a proposal for a digital project. Students completing the course will gain broad knowledge about and understanding of the emerging role of the digital humanities across several academic disciplines and will begin to learn some of the fundamental skills used often in digital humanities projects.
Note: this course is part of an innovative "Digital Praxis Seminar," a two-semester long introduction to digital tools and methods that will be open to all students in the Graduate Center. The goal of the course is to introduce graduate students to various ways in which they can incorporate digital research into their work.
DHUM 72500 - Methods of Text Analysis #62525
Tuesday, 6:30 - 8:30 PM, 3 Credits, Prof. Lisa Rhody (firstname.lastname@example.org)
This course takes as its guiding questions: "Can there be such a thing as a feminist text analysis?" and "What does it mean to do computational text analysis in a humanities context?" Through reading and practice we will examine the degree to which problematic racist, sexist, colonialist, corporate, and gender-normative assumptions that activate algorithmic methods impact humanistic inquiry through text analysis, and how the humanist can formulate effective research questions to explore through methods of text analysis.
Taking a completely different approach to the topic "methods of text analysis," this couse will consider what it means to "analyze" a "text" with computers within a humanistic context, with an emphasis on shaping effective research questions over programming mastery. How does the language of analysis draw on Western traditions of empiricism in which "the text" occupies a position of authority over other forms of representation? What is the difference between "text analysis" and "philology"? What is being "analyzed" when we count, tokenize, measure, and classify texts with computers? And, importantly, how do the questions we are asking align with the methods we are using?
The course will be organized according to the stages of the research proces as articulated in our fist week reading, to be completed in advance of our first meeting: "How we do things with words: Analyzing text as social and cultural data," which can be dowloaded here. While students will receive materials to help them learn Python and to develop their own text analysis projects, this will not be the objective of the course or the source of evaluation. However, students will be required to develop a literacy in Python and packages frequently used to perform text analysis. Students will be required to complete weekly Jupyter notebook assignments that have significant portions of text analysis activities already completed. Supplementary information about programming and text analysis will be provided to complete in a self directed way using a free DataCamp account. Final projects will include a portfolio of 14 completed Jupyter notebook assignments, an in-class debate, and a five to eight page position paper.
Exploring terms such as "non-consumptive" and "black box algorithms," this course takes up the affordances and costs of computationally enabled modeling, representation, querying, and interpretation of texts. We will ask questions such as, "Can you 'lead a feminist life' (Ahmed) that is heavily mediated by methods of text analysis?" Readings will include articles by Sarah Ahmed, Mary Beard, Meredith Broussard, Lauren Klein, Wendy Chun, Tanya Clement, Miriam Posner, Liz Losh, Tara MacPherson, Johanna Drucker, Andrew Goldstone, Safiya Noble, Bethany Nowviskie, Andrew Piper, Steve Ramsay, Laura Mandell, Susan Brown, Richard Jean So, and Ted Underwood.
DHUM 73000 - Visualization and Design: Fundamentals #62522
Thursday 6:30 - 8:30 PM, 3 Credits, Rm. 5417, Prof. Michelle McSweeney (email@example.com)
Cross-listed with DHUM 73300
Data are everywhere and the ability to manipulate, visualize, and communicate with data effectively is an essential skill for nearly every sector—public, private, academic, and beyond. Grounded in both theory and practice, this course will empower students to visualize data through hands-on experience with industry-standard tools and techniques and equip students with the knowledge to justify data analysis strategies and design decisions.
Using Tableau Software, students will build a series of interactive visualizations that combine data and logic with storytelling and design. We will dive into cleaning and structuring unruly data sets, identify which chart types work best for different types of data, and unpack the tactics behind effective visual communication. With an eye towards critical evaluation of both data and method, projects and discussions will be geared towards humanities and social science research. Regardless of academic concentration, students develop a portfolio of interactive and dynamic data visualization dashboards and an interdisciplinary skill set ready to leverage in academic and professional work.
Note: This class will involve 9 in-person meetings and 6 hybrid (online) meetings.
DHUM 74000 - Digital Pedagogy 1 #57343
Monday, 4:15 - 6:15 PM, 3 Credits, Prof. Ximena Gallardo (firstname.lastname@example.org)
Cross-listed with ITCP 70010
Students will examine the economic, social, and intellectual history of the design and use of technology. The course focuses on the mutual shaping of technology and academic teaching, learning and research—how people and ideas have shaped classroom and research interactions in the past, and how they are transforming knowledge production in the present. By examining the use and design of technologies inside and outside of the university, students reflect on what it means to be human in a world increasingly mediated by technology.
The course also highlights the theoretical and practical possibilities of digital media for teaching, research, reading, writing, activism, collaborative knowledge production, and play. Assignments for the course ask students to leverage new, multimodal approaches for creating scholarship, including a publishable final paper or project that contributes to the discourse around the use of technology in their discipline as well as considers the growth of fields of academic inquiry such as Scholarship of Teaching and Learning and the Digital Humanities. This course includes a two-hour non-credit bearing lab that takes place on the same day as class, directly afterwards.
This is the first course in the Interactive Technology and Pedagogy certificate sequence. ITP courses meet Monday 4:15-6:15 with skills Lab directly following from 6:30-8:30. Learn more about the 9 credit, 3 course certificate at http://www.gc.cuny.edu/itp and see examples of past capstone projects here: https://itpis.commons.gc.cuny.edu/ For information about enrollment please contact Julie Fuller, Program Assistant (email@example.com)