Matthias K. Gobbert

Selected Slides from Presentations

SIAM Annual Meeting 2012, July 09 to 13, 20l2, Minneapolis, MN

MS 98 and 111 Best Practices for Introducing Undergraduate Students to Computational and Interdisciplinary Research

This minisymposium brings together faculty who have experience guiding undergraduate students in research with a computational focus and an early introduction to collaborative research with scientists from application areas. Such research requires a large set of skills to get started being productive, from knowledge about computers to programming languages and post-processing tools. The speakers will share their experiences from guiding REU Sites, CSUMS programs, and similar on how to get students started, for instance, with boot camps, short courses, or other techniques, and discuss what research results could be obtained with this often limited background and how the results could be documented in publications.

MS 98:

Matthias K. Gobbert and Nagaraj Neerchal, University of Maryland, Baltimore County, Undergraduate Research on the Fast Track: From Nothing to Publication in Eight Weeks, Slides.
Padmanabhan Seshaiyer, George Mason University, Multidisciplinary Undergraduate Research in Computational Mathematics and Nonlinear Dynamics of Biological, Bio-inspired and Engineering Systems, Slides.
Jennifer Pearl, National Science Foundation, Models for Undergraduate Research, Best Practices, and Questions, Slides.
Jeffrey Humpherys, Brigham Young University, Building An Applied and Computational Math Degree Program from the Ground Up , Slides.

MS 111:

Peter R. Turner, Clarkson University, Undergraduate CSE Programs in the U.S., Slides.
Angela B. Shiflet, Wofford College, Excel-lent Experiences: Computational Research Internships, Slides.
Eric J. Kostelich, Arizona State University, Weather, Uncertainty, Supercomputing, and Cancer: Research Experiences for Math Majors at Arizona State University, Slides.

SIAM Conference on CS&E 2011, February 28 to March 04, 2011, Reno, NV

MS 137 Training Students for Skills in CS&E

Computational Science and Engineering (CS&E) is an inherently interdisciplinary area involving mathematics, computational science, and application areas from science, engineering, and beyond. There is a real opportunity for mathematics to take a leadership role, since its tools are central to any particular, campus-dependent version of a program in CS&E. This minisymposium showcases ideas and reports experiences with CS&E program or particular educational strategies to train students in vital skills for work in CS&E.

Jeffrey Humpherys, Brigham Young University, Undergraduate Foundations of Applied Mathematics, Slides.
Peter R. Turner, Clarkson University, Undergraduate CSE Programs in the U.S., Slides.
Eric J. Kostelich, Arizona State University, Undergraduate Research Experiences in Computational Mathematics, Slides.
Matthias K. Gobbert and Nagaraj Neerchal, University of Maryland, Baltimore County, Career Preparation of Undergraduate and Graduate Students through an Interdisciplinary Consulting Approach, Slides.

CP 9 CSE Education

Johannes Grotendorst, Research Centre Juelich, Germany, Education at Research Centre Juelich, Slides.