Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or ...

The Biostatistics, Bioinformatics and Epidemiology Program (BBE) supplies the statistical and mathematical modeling expertise needed within Fred Hutch’s Vaccine and Infectious Disease Division to ...

The GSMM Camp is a weeklong workshop directed towards interdisciplinary problem solving whose aim is graduate student education and career development. The GSMM Camp is designed to promote a broad ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

The information presented here is intended to describe the course goals for current and prospective students as well as others who are interested in our courses. It is not intended to replace the ...

Mathematical models are important tools for understanding the behavior of complex systems. For example, in order to predict the growing consequences of climate change, researchers build computational ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Researchers use mathematical modeling to help explain why CAR T cells work in some patients and not in others. Chimeric antigen receptor T-cell therapy, or CAR T, is a relatively new type of therapy ...

Do you have an inquisitive mind, a fascination with data, math acumen, attention to detail, and a knack for seeing the big picture? A BS in Mathematical Sciences from Michigan Tech—with a ...

Grape stems are rich in bioactive phenolic compounds, offering potential for developing antioxidant-rich products in the food industry. The study employed UV-vis spectrophotometry and HPLC to quantify ...