Posts Tagged featured-post-side

Astrophysics majors studying Islam in Russia. Neuroscience majors studying public health and feminism. In the latest episode of the QuadCast, meet students in the University’s Take Five program, a unique opportunity for students to take a tuition-free fifth year to study something outside their major, purely for the pleasure of learning.

Since opening in late January, the kitchen has been a hit with student organizations and faculty, who have held some of their classes there. “Based on the usage we’re seeing, we’ve really created something that students, faculty, and instructors are looking for,” says Laura Ballou ’97.

A “virtual” re-creation of early settlements on Smith’s Island, Bermuda, offers professor Michael Jarvis and his students immersive experience of the site they are working to excavate.

Can poetry thrive in an age of instant communication? As April’s National Poetry Month begins, University’s poetry faculty and students have found that the answer is an emphatic “yes.” The pace of digital life has only quickened over the last ten years since Twitter was founded, but the slower process of reading and crafting poetry continues, robustly, at Rochester.

Forgotten for over a century, a recently discovered trove of more than a hundred letters fills in the political details of how the suffrage movement was run and the women activists who ran it.

In 2010 the computer science department’s graduating class of 20 students included only one woman. This year, the expected graduating class of 119 students will be 34 percent female—double the national average.

As the University’s anti-racism campaign prepares to host a series of discussions marking the United Nations’ annual International Day for the Elimination of Racial Discrimination, meet the students who help shape the committee’s platform and mission.

Chunlei Guo and his team have used lasers to make materials extremely water repellent. Now the researchers can visualize, for the first time, the complete evolution of micro- and nanoscale structural formation on the material’s surface.

Machine learning provides computers with the ability to learn from labeled examples and observations of data. Researchers at Rochester are developing computer programs incorporating machine learning to teach robots and software to understand natural language and body language, make predictions from social media, and model human cognition.

Researchers at the University are at the cutting edge of the intersection of data science and music: developing databases to study music history, and creating algorithms to automatically identify a genre or singer.