Mathematical and computational oncology are rapidly emerging as critical areas of research that aim to understand the intricate and complex nature of cancer. New quantitative methodologies and ...

Mathematical modelling and optimisation in packing problems constitute a critical research area that combines advanced algorithms, rigorous analytical formulations, and practical applications. This ...

Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...

Learn how to formulate, solve and analyze real-world problems. As an Applied Mathematics and Statistics major, you will learn how to apply mathematics to solve problems in fields such as business, ...

Train professional engineers in advanced methods of engineering analysis and modeling for exploration, simulation and optimization of mechanical engineering systems. Develop theoretical understanding ...

Taylor earned her bachelor’s degree in mechanical engineering from the South Dakota School of Mines and Technology and master ...

With an applied physics: computational degree, you’ll gain specialized expertise in mathematical modeling, simulation, and data analysis, preparing you for careers in technology and research. Become ...

The GSMM Camp is a weeklong workshop that builds interdisciplinary problem-solving skills for graduate and advanced undergraduate students. Participants work in teams on mathematically rich problems ...

The demand for a professional labor force skilled in data analysis and statistical methods, alongside scientific computation and other applied mathematics techniques, and has grown tremendously over ...

Computational chemistry has its roots in the early attempts by theoretical physicists, beginning in 1928, to solve the Schrödinger equation (see Box 2.1) using hand-cranked calculating machines. These ...