36,350 research outputs found
Curriculum Guidelines for Undergraduate Programs in Data Science
The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program
met for the purpose of composing guidelines for undergraduate programs in Data
Science. The group consisted of 25 undergraduate faculty from a variety of
institutions in the U.S., primarily from the disciplines of mathematics,
statistics and computer science. These guidelines are meant to provide some
structure for institutions planning for or revising a major in Data Science
The Development of Instruments for Assessment of Instructional Practices in Standards-Based Teaching
We provide a description and rationale for the development of two instruments: 1) a classroom observation protocol; and, 2) a teacher interview protocol—designed to document the impact of reform-based professional development with undergraduate mathematics and science faculty, and its impact on the resultant preparation of teachers. Constructed upon review of the research on teaching and standards documents in mathematics and science, these instruments form the basis for data collection in a three-year longitudinal study of teaching practice among early career teachers as well as undergraduate college faculty. In addition, we suggest further applications of the observation protocol beyond the original purpose of our research study
Research and Education in Computational Science and Engineering
Over the past two decades the field of computational science and engineering
(CSE) has penetrated both basic and applied research in academia, industry, and
laboratories to advance discovery, optimize systems, support decision-makers,
and educate the scientific and engineering workforce. Informed by centuries of
theory and experiment, CSE performs computational experiments to answer
questions that neither theory nor experiment alone is equipped to answer. CSE
provides scientists and engineers of all persuasions with algorithmic
inventions and software systems that transcend disciplines and scales. Carried
on a wave of digital technology, CSE brings the power of parallelism to bear on
troves of data. Mathematics-based advanced computing has become a prevalent
means of discovery and innovation in essentially all areas of science,
engineering, technology, and society; and the CSE community is at the core of
this transformation. However, a combination of disruptive
developments---including the architectural complexity of extreme-scale
computing, the data revolution that engulfs the planet, and the specialization
required to follow the applications to new frontiers---is redefining the scope
and reach of the CSE endeavor. This report describes the rapid expansion of CSE
and the challenges to sustaining its bold advances. The report also presents
strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie
Multidisciplinary Engineering Systems 2nd and 3rd Year College-Wide Courses
Undergraduate engineering education today is ineffective in preparing students for multidisciplinary system integration and optimization - exactly what is needed by companies to become innovative and gain a competitive advantage in this global economy. While there is some movement in engineering education to change that, this change is not easy, as it involves a cultural change from the silo approach to a holistic approach. The ABET-required senior capstone multidisciplinary design course too often becomes a design-build-test exercise with the emphasis on just getting something done. Students rarely break out of their disciplinary comfort zone and thus fail to experience true multidisciplinary system design. What is needed are multidisciplinary systems courses, with a balance between theory and practice, between academic rigor and the best practices of industry, presented in an integrated way in the 2nd and 3rd years that prepares students for true multidisciplinary systems engineering at the senior level and beyond. The two courses presented here represent a significant curriculum improvement in response to this urgent need
Logistics of Mathematical Modeling-Focused Projects
This article addresses the logistics of implementing projects in an
undergraduate mathematics class and is intended both for new instructors and
for instructors who have had negative experiences implementing projects in the
past. Project implementation is given for both lower and upper division
mathematics courses with an emphasis on mathematical modeling and data
collection. Projects provide tangible connections to course content which can
motivate students to learn at a deeper level. Logistical pitfalls and insights
are highlighted as well as descriptions of several key implementation
resources. Effective assessment tools, which allowed me to smoothly adjust to
student feedback, are demonstrated for a sample class. As I smoothed the
transition into each project and guided students through the use of the
technology, their negative feedback on projects decreased and more students
noted how the projects had enhanced their understanding of the course topics.
Best practices learned over the years are given along with project summaries
and sample topics. These projects were implemented at a small liberal arts
university, but advice is given to extend them to larger classes for broader
use.Comment: 27 pages, no figures, 1 tabl
Rethinking the education of chemists - the odyssey is over, time for action!
Chemistry is a mature discipline with a distinguished pedigree and a long tradition, but times are changing and student numbers in chemistry are declining. The need for a reappraisal of what constitutes chemistry and a chemistry education at the beginning of the new millennium, is apparent. The paper examines some of the current issues surrounding chemistry and chemistry teaching and suggests ways in which we might go forward. A message of vision and imagination, applying a little of the ideals of Zarathustra in the setting of, '2001, A Chemistry Odyssey', is promulgated. [Chem. Educ. Res. Pract.: 2003, 4, 83-96]
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