The Shodor Computational Science Institute

Shodor计算科学研究所是一系列研讨会、研讨会和支持活动，旨在介绍数值模型在本科课程中的真实应用。SCSI项目将使中小型大学的数学、科学和计算机科学教师团队能够一起工作，通过在真正的跨学科方法中使用技术和更广泛地使用数学建模和计算科学工具来提高他们的专业地位。这种对建模的关注将使这些教师能够学习如何做计算科学，以及如何在引人入胜和丰富的互动环境中教授计算科学，这些环境结合了现代科学和工程实践中相同的工具、技术和技术。在一系列的研讨会和后续活动中，参与者从发现和评估模型，到运行其他人的模型，再到修改这些模型，最后编写他们自己的模型。在每个阶段，教师们逐渐理解挑战模型及其数值实现的重要性，并问他们自己和他们的学生，“我们如何知道它是否正确？”该项目包括一系列的校园访问，一系列的三个，密集的，为期一周的，跨学科的夏季研讨会，涵盖了计算科学的原理和实践，在入门，中级和高级水平，以及研讨会和基于建模的活动回到国内机构。通过使用协作工具和电子网络，协调和实现持续支持和跟踪、材料开发、访问HPCC和可视化资源以及评估。

The Shodor computational Science Institute is a series of workshops, seminars, and support activities to introduce the authentic use of numerical models across the undergraduate curriculum. The SCSI project will enable teams of mathematics, science, and computer science faculty at small to medium sized colleges to work together, to enhance their professional standing through the use of technology and the wider use of mathematical modeling and the tools of computations science within a truly interdisciplinary approach. This focus on modeling will enable these faculty to learn how to do computational science and how to teach computational science in engaging and enriching interactive environments incorporating the same tools, techniques, and technologies which characterize the modern practice of science and engineering. During a series of workshops and follow-on activities, participants progress from finding and assessing models, to running other people's models, to modifying these models, to ultimately writing their own. At each stage, the faculty grow to understand the importance of challenging the model and its numerical implementations, asking themselves and their students, "How do we know if it is right?" The project includes a series of campus visits, a series of three, intensive, one-week, interdisciplinary summer workshops which cover the principles and practices of computational science at the introductory, intermediate, and advanced levels, and seminars and modeling-based activities back at the home institutions. continuous support and follow-up, materials development, access to HPCC and visualization resources, and evaluation are coordinated and enabled by using collaborative tools and electronic networks.