Education

The Program in Quantitative and Computational Biology (QCB) facilitates graduate education at Princeton at the interface of biology and the more quantitative sciences and computation. QCB is a collaboration in multidisciplinary graduate education among faculty in the Lewis-Sigler Institute for Integrative Genomics and our partner departments, including the Departments of Chemistry, Chemical and Biological Engineering, Computer Science, Ecology and Evolutionary Biology, Molecular Biology, and Physics.

Who should take ISC?

ISC is geared towards any prospective science or engineering major. The curriculum is especially valuable for students interested in bridging the traditional barriers between the biological and the physical sciences, e.g. students with interests in chemical and biological engineering, neuroscience, biophysics, or quantitive and computational biology.

Why did you develop the Integrated Science Curriculum?

In high school you were probably introduced to different subjects of science: Physics, Chemistry, Biology, maybe more. While the way these disciplines were taught might have made them seem very different, it doesn’t take much digging to conclude that the boundaries are much fuzzier than they are made out to be. When thinking about atoms and molecules, where does physics end and chemistry begin? Biological organisms use chemical and physical processes to produce all the phenomena of life from cellular metabolism to organismal development to the function of the brain.

What is Integrated Science (ISC)?

ISC is an integrated, mathematically and computationally sophisticated immersive introduction to physics, chemistry, molecular biology, and computer science. By teaching these disciplines within a unified framework, we hope to educate a new generation of scientists who can appreciate the connections between the traditional academic disciplines and for whom interdisciplinary science is natural rather than forced. Our course is team-taught by faculty in the departments of Physics, Chemistry, Molecular Biology, and Computer Science.

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