Back-to-school meets future-ready: New academic programs at Rochester
The range of recently launched degree programs reflects what students, the workforce, and the world need and want to become ever better.
Alejandro Cruz Setzekorn: Realizing the power of genomics through data science
A data science master’s student analyzes how turning genes on and off can impact neurodegenerative diseases.
Coursework: Engineering students put their skills to the test in design capstones
Rochester students invent solutions for project sponsors ranging from major league sports teams to researchers in Costa Rica.
Study of headlines shows media bias is growing
A team from the Department of Computer Science used machine learning to analyze publications across the political spectrum.
Three professors honored for undergraduate teaching innovations
The recipients of this years Goergen Awards for Excellence in Undergraduate Teaching all have reshaped departmental programs focused on experiential learning.
Ajay Anand: When learning data science, experience is the best teacher
The deputy director of the Goergen Institute for Data Science has grown a capstone course that offers students hands-on projects.
Seed funding reflects how data science, AR/VR transform research at Rochester
The University’s Goergen Institute for Data Science supports collaborative projects across all disciplines.
Faculty in data science, mechanical engineering, and history to receive Goergen Awards
Established in 1997, the award recognizes distinction in undergraduate teaching among faculty in Arts, Sciences & Engineering.
New grant will unlock workings of the brain’s waste removal system
Rochester scientists discovered the glymphatic system. Now, the National Institutes of Health is bringing together several teams of researchers to better understand its mechanics.
Why this Rochester math professor champions year-round undergraduate research
Alex Iosevich, a professor of mathematics and director of the Tripods REU and STEM for ALL programs at the Goergen Institute for Data Science, seeks to make undergraduate research “a fundamental part of the curriculum.”