Rigor in Data Science
Rachel Levy (North Carolina State University)
Abstract: In mathematics, rigor is both a practice and a value. However, the term isn't exclusive to our field. How in the growing field of data science can we define rigor? What are the implications for the classroom? In what ways are our definitions of rigor influenced by the discipline where we practice it? Can we find analogies between definitions of rigor in pure and applied arenas? In what ways can we expect rigor from developers and practitioners of data science, in the classroom as well as the workplace?
For more information on OLSUME: olsume.org/ Zoom link: cornell.zoom.us/j/92415199317, passcode olsume
mathematics education
Audience: researchers in the topic
Online Seminar On Undergraduate Mathematics Education
Series comments: Description: Seminar on university-level math education
OLSUME is an online seminar centered on mathematics education at the university level. Talks will cover curriculum, pedagogy, inclusiveness, professional development, blended and flipped classrooms, and other topics of interest.
ZOOM LINK: cornell.zoom.us/j/92415199317 Password: olsume
| Organizers: | Haynes Miller*, Tara Holm, Rosalee Zammuto* |
| *contact for this listing |
