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Milstein Program Orientation Seminar:
Milstein Program incoming freshman are assigned to the Milstien Program Orientation Seminar. This one credit orientation is designed to:
- Support team development and learning
- Create a sense of belonging and a meaningful connection to their faculty advisors
- Help students understand the value of liberal arts
- Provide a forum for special events and speakers
Milstein Program Collab:
All second term freshman, and sophomores in the Milstein Program are automatically enrolled in the two-credit Collab course. The goals of the Collab course are:
- To establish a structure for students to engage in serious academic pursuits together as a group
- To teach students how to communicate ideas clearly orally, in writing, and in media
- To support collaboration and team-building skill development
- To encourage engagement in communities outside the classroom
- To learn to think conceptually across disciplines
The Collab brings Milstein Program students into contact with a range of dynamic thinkers, artists, and community partners in order to prepare them for their two summers of residency in New York at Cornell Tech.
Other Milstein Program Courses:
- Gramophone, Radio, Podcast: Sound Recording as a Medium for Writing with Jeremy Braddock, Associate Professor, English
This class examines current aural technologies of writing: podcasts, audiobooks, site-specific headphone theater. This course will focus on the challenges and opportunities of the present—making recordings along the way—from the point of view of the technologies' long history.
- The Politics of Technology with Sarah Kreps, Professor, Government
The course evaluates the politics of technology including topics such as drones, artificial intelligence, and cyber.
Prerequisites (to be taken before the first summer program at Cornell Tech):
Milstein Program participants are advised to take courses which will satisfy the following pre-tech curriculum requirements to ready them for their upcoming summer sessions at Cornell Tech.
- Data analysis
- Functional programming
- Math (including linear algebra)