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Coming Up
Mon., March 30: Multicultural Fair
6 p.m. - 9 p.m.
The multicultural fair is a day where students, staff and faculty are invited to represent and share their cultures with the Olin community through clothing, cooking and activities. Though the fair is in the evening, we hope you will represent your cultures throughout the day by wearing anything you feel comfortable in, from sports jerseys to traditional clothing. Please reach out to Belén Hutchins ’26 ( bhutchins@olin.edu) with any questions.
Tues., March 31: Developmental Leave Presentations
12 p.m. / MAC 318 & Zoom
Join Brad Minch in discussing "Electronics for Everyone: Towards a Low-Cost USB Source/Measure Unit for Microelectronics Education," where he will describe his recent work on designing a low-cost, highly portable (i.e., a "backpack instrument") two-channel USB source/measure unit (SMU) for use in microelectronics education. Click here to join virtually.
Fri., April 3: First Annual Build Challenge
8:45 a.m. - 9:30 a.m. / Great Lawn
Cheer on the MechProto students in Olin's First Annual Build Challenge! To celebrate the prototyping process, MechProto students will demonstrate the cardboard devices they’ve built to help them navigate a multi-stage obstacle course across the Great Lawn. Dress colorfully to support the Blue, Green, Pink, Purple, Red, and Yellow teams. The rain dates are Tues., April 7 and Fri., April 10.
Mon., April 6: Community Research Seminar
12 p.m. - 1 p.m. / Library (First Floor)
Join Carrie Nugent and the Supercomputer Course Assistants in discussing "Using the Unity Supercomputer Cluster at Olin." They will share the work the Supercomputer CAs have done to introduce this powerful resource to the community, and provide examples of how Unity has been used for class projects, independent research projects, faculty research, and in large courses like Software Design.
Fri., April 10 - Sun., April 12: BOW DataFest Wellesley College
DataFest is a nationally coordinated undergraduate competition in which teams of two to five students work over a weekend to extract insight from a rich and complex data set. Students are encouraged to form teams with a diverse set of skills and backgrounds (e.g., a blend of experiences in data computing, statistics, GIS, visualization and the arts, and business and economics).
Faculty, staff, alumni and friends of Olin are encouraged to volunteer to mentor student teams. Mentors are essentially team members for 10-15 minutes at a time, and often help teams narrow their research questions, advise on modeling and analysis choices or provide feedback on visualizations and storytelling.
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