Search for tag: "problems"

Nov 19 2021 Cesar Garcia-Diaz

Systems Science Friday Noon Seminar 11/19/21

From  Wayne Wakeland 1 plays 0  

Oct 22, 2021 Roderick Campbell

System Science Noon Seminar Series

From  Wayne Wakeland 6 plays 0  

SPED 547 Class Meeting

Zoom Recording ID: 86816088106 UUID: ZAIgFQknTZaOpj3/4dsOzw== Meeting Time: 2021-05-19T00:26:21Z

From  Julie Wright 4 plays 0  

SPED 547 Optional Study Time

Zoom Recording ID: 82552404889 UUID: dBeX92VaSsa7N6HLEdkcgA== Meeting Time: 2021-05-14T00:57:17Z

From  Julie Wright 1 plays 0  

Facilitating Visual Development

From  Holly Lawson 25 plays 0  

Systems Science Noon Seminar Feb 28, 2020 Pete Roolf

From  Wayne Wakeland 9 plays 0  

11/15/19 SySc Seminar, Howard Silverman

Seminar talk by Howard Silverman 11/15/19

From  Wayne Wakeland 12 plays 0  

2019 Nov 15, Per-Olof Persson, University of California - Berkeley, High-Order Discontinuous Galerkin Methods for Fluid and Solid Mechanics

Maseeh Mathematics + Statistics Colloquium Per-Olof Persson, University of California–Berkeley High-order discontinuous Galerkin methods for fluid and solid mechanics It is widely believed that…

From  Kathie Leck 143 plays 0  

2018 Oct 19, Ksenija Simic-Muller, Pacific Lutheran University, Teaching Mathematics for Social Justice: the Promise and Practice

Ksenija Simic-Muller, Pacific Lutheran University Teaching mathematics for social justice: the promise and practice Teaching mathematics for social justice centers mathematics as a tool for…

From  Kathie Leck 20 plays 0  

2018 Oct 5, Marilyn Carlson, Arizona State University A research-based approach for improving precalculus teaching and learning

Marilyn Carlson, Arizona State University A research-based approach for improving precalculus teaching and learning The function concept is a central idea of precalculus and beginning calculus and…

From  Kathie Leck 25 plays 0  

2019 Apr 26, Alexandre Tartakovsky, Pacific Northwest National Laboratory Learning parameters and constitutive relationships with physics informed deep neural networks

Alexandre Tartakovsky, Pacific Northwest National Laboratory Learning parameters and constitutive relationships with physics informed deep neural networks We present a physics informed deep neural…

From  Kathie Leck 26 plays 0