A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

The landscape of data-driven modeling ... when it comes to engineering analysis, the real gem is hybrid methods. Though the idea is very new—even to the research world—hybrid methods are ...

Research in the field of data science requires solid skills ... develop efficient mathematical algorithms for data analysis. These techniques are employed in complex applications in natural science, ...

Topics include: statistical design of research experiments; hypothesis testing; use of statistical models to test engineering questions; data analysis; literature searches; development of research ...

The Computational and Data Enabled Sciences PhD addresses pressing research challenges ... computing and big data analysis. Through the collaboration of faculty members from departments including ...

The Engineering Science MS with a course focus in Data Science offers students a comprehensive education in big data and analysis. Students gain knowledge, expertise, and practical training in various ...

including big data analysis, visualisation, and machine learning models, enabling them to extract valuable insights from their data. Yet, the success of a data-driven project hinges on data quality.

Combining quantitative and qualitative data analysis can give students of science, technology, engineering and mathematics, also known as STEM, a potential advantage. "Complex problems often require a ...

Head coach Russell Payne served as a judge during a recent hackathon run by Northwestern Engineering students in the Master ... interactive dashboards, and exploratory data analysis to the panel, ...