Apply the laws of mathematics and computer science to the world around you. The most pressing problems facing society require breakthrough ideas. With a BS in Mathematics with a concentration in ...

Learn by Doing: Gain experience through an experiential learning component of the program approved by the School of Mathematics and Statistics. Real World Experience: With RIT’s cooperative education ...

The Nature Index tracks primary research articles from 145 natural-science and health-science journals, chosen based on reputation by an independent group of researchers. The Nature Index provides ...

To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance ...

Numerical and Computational Mathematics is a discipline dedicated to the development and analysis of algorithms that provide approximate solutions to mathematical problems too complex for exact ...

Experimental science is evolving. With the advent of new technology, scientific facilities are collecting data at increasing rates and higher resolution. However, making sense of this data is becoming ...

Career Connections: The Office of Career Services and Cooperative Education hosts a career fair for students to connect with National Labs and federally-funded Research Centers. Jobs at Industry ...

Expand the application of computing and computational thinking at an R1 flagship technological university where STEM research is at the heart of everything we do. Learn from caring and skilled faculty ...

Forbes contributors publish independent expert analyses and insights. I write about the future of learning, work and human development. Schools around the world teach calculation. But computers do ...

Xiangxiong Zhang, Department of Mathematics, Purdue University Monotonicity in high order accurate schemes for diffusion operators with applications to compressible Navier-Stokes equations For gas ...

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We propose a dimensionality reducing matrix design based on training data with constraints on its Frobenius norm and number of rows. Our design criteria is aimed at preserving the distances between ...