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Scott Field, PhD
Assistant Professor
Mathematics
Contact
508-999-8318
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Liberal Arts 394C
Education
| 2011 | Brown University | PhD |
| 2006 | University of Rochester | BS |
Teaching
Programs
Programs
- Data Science BS, BS/MS
- Master's in Data Science MS
- Data Science Graduate Certificate
- Engineering and Applied Science PhD
- Mathematics BA, BS
Teaching
Courses
Application of knowledge discovery and data mining tools and techniques to large data repositories or data streams. This project-based capstone course provides students with a framework in which students gain both understanding and insight into the application of knowledge discovery tools and principles on data within the student's cognate area. This course is intended for data science majors only.
Application of knowledge discovery and data mining tools and techniques to large data repositories or data streams. This project-based capstone course provides students with a framework in which students gain both understanding and insight into the application of knowledge discovery tools and principles on data within the student's cognate area. This course is intended for data science majors only.
A calculus-based introduction to scientific computation, modeling, simulation and visualization using a variety of mathematics programming tools, scripting languages, and other software tools widely used by mathematicians. This course is project-driven and requires a strong background in mathematics. It is intended for students planning to take upper-level courses in applied or computational mathematics.
Research
Research Awards
- $650,000 Implementation of a Contextualized Computing Pedagogy in STEM Core Courses and Its Impact on Undergraduate Student Academic Success, Retention, and Graduation
Research
Research Interests
- gravitational wave data science
- discontinuous Galerkin methods
- Large-scale Scientific Computation
- computational general relativity and fluid dynamics
- Numerical Analysis