Afternoon (Flowers, Girl and Butterfly) is a 1972 woodcut piece by Tadashi Nakayama, and is included in the Florilegium section of Curriculum/Collection. Click through this interactive version to learn more about Tadashi's artistic process, and well as the symbolism of the flowers in his work.
Other Recent C/C Stories
A series of videos will take you on a deep dive into the works on view as part of the Florilegium course in Curriculum / Collection
This untitled print by Keith Haring (1958–1990) is part of a portfolio called "The Fertility Suite." UMMA's copy of it is currently on display in Curriculum/Collection, as part of the Perspectives on Health and Health Care class. Click through an interactive version of Haring's print to learn more about his distinct graffiti-like style, and how being HIV-positive affected his work.
One of the goals of Curriculum/Collection is to foster student engagement with UMMA’s collection and showcase the exciting work students produce in turn. Here, Mellisa Lee, who was a student in Art and Design 352: Florilegium, shares the art she created in Cathy Barry’s class and explains her process.
Learn about how the Curriculum/Collection exhibition for Social Work 560 with Professor Larry Gant was curated and the importance of community art!
Downtown Detroit, a 1947 painting by Carlos Lopez included in the works of art selected for Curriculum/Collection, depicts a Motor City skyline that doesn't quite exist. All the buildings are real, but Lopez made a composite of several different vantage points for his landscape. Click through an interactive version of Lopez's painting to zoom into the details and learn more about the history of the buildings and architecture represented here.
A 'choose your own adventure' guide that examines how students might change a work of art, and therefore change our interpretation of the piece.
Take our latest quiz, and challenge yourself to see unusual connections between objects and course topics this semester at the University of Michigan
The assignment is due at the end of the week, at 11:59PM (EST), but you can take all the time in the world.
Students in Professor Matias del Campo’s Space, Time, and Artificial Intelligence class are asking questions about the relationship between artificial intelligence, architecture, and creativity. Can artificial intelligence dream new visions of architecture into being?
Follow UMMAMuseum on TikTok and try to stump Dave!
After sitting in on one of Sascha Crasnow’s zoom lectures, it’s clear that her students are active and engaged with Art and Resistance: Global Responses to Oppression.
Metaphysics is a branch of philosophy that addresses questions about things like the existence of physical objects, the structure of space or time, the nature of possibility, and more. Can art help us think about these same fundemental questions?
Florilegium explores how art and design intersects with nature and plants, incorporating hands-on fieldwork and material excavation with the artistic process. Listen in as instructor Cathy Barry describes today’s assignment.
In Social Work 560, Dr. Larry Gant teaches prospective social workers about methods for macro-level practice. And bringing art into the picture, as a tool of historical analysis and also community development and activism, can only help students. “The role of art in community organizing is limited only by conventional thinking,” Gant said.
The 112 first-year students in Professor Adam Eickmeyer’s "Perspectives On Health and Healthcare" class are all Health Sciences Scholars Program students. As prospective physicians, social workers, nurses, researchers, administrators, and policymakers, the students meet together with Eickmeyer, and in team-based groups, to interrogate critical issues facing the health professions, such as concerns about access to high-quality care and improving equity across the board.
In Professor Ivo Dinov’s Data Science and Predictive Analytics class, students are learning how to manage, analyze, and make sense of Big Data in the real world. You’ve probably associated large, complex datasets with healthcare data, scientific information, or all of the information about viewing preferences of Netflix subscribers, but art?