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 ...

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 ...

In their Commentary “Will Science and Engineering Now Be a Good Career?” (Nov. 11, 2009), Lindsay Lowell and Hal Salzman claim that over the past few decades, there has been “no decline in the K-12 ...

Stephen Wolfram – the physicist who created Mathematica – reflects on how this computational tool has changed in 30 years, and on the practical and conceptual role that computational thinking plays in ...

The Department of Engineering Sciences and Applied Mathematics (ESAM) at Northwestern University is highly interdisciplinary and focused on applications. Our faculty and students connect with ...

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 ...

Numerical computation and mathematical software form the backbone of modern scientific inquiry, facilitating the approximation of real numbers, the solution of complex mathematical models, and the ...

Although much of its discovery process is descriptive and qualitative, chemistry is fundamentally a quantitative science. It serves a wide range of human needs, activities, and concerns. The ...

In addition to ascertaining that the internal vitality of the mathematical sciences is excellent, as illustrated in Chapter 2, the current study found a striking expansion in the impact of the ...

When a crowd gets something right, like guessing how many beans are in a jar, forecasting an election, or solving a difficult scientific problem, it's tempting to credit the sharpest individual in the ...

Dartmouth researchers are using computational mathematics and machine learning to develop models that better predict sea ice thickness in regions of the Arctic.