Computational Science Across the Curriculum

计算-其他（35）跨学科（99）计算科学的新兴领域，是数学、计算机科学和科学的交叉点，为工业和学术环境中使用的科学研究提供了一种跨学科的方法。为了为研究生学习和工作做好准备，学生需要有计算科学方面的经验。在本科阶段的问题是缺乏计算科学的教育材料。这个教育材料开发项目的目标是创建课程材料和课程，最终形成一个全面的、跨学科的计算科学辅修课程。一个由来自不同学科的教师组成的团队正在为生物学、化学、环境科学、数学、神经科学、物理学和心理学的计算课程开发、评估、执行课堂测试和传播材料。新课程强调批判性思维和解决问题的能力。科学、数学、计算机科学和职前中等教育的学生是本课程的目标受众。辅修课程的特点包括一个研讨会，鼓励代表性不足的群体（如妇女和少数民族）的参与，计算科学的核心课程，提供必要的数学和计算背景，学科特定课程，以产生兴趣和提供计算科学技能的直接应用，以及计算科学的顶尖合作研究经验。这些课程材料正在不同的机构进行实地测试和评估，以提高它们的有效性和在不同学生群体中的采用。广泛传播建议材料的策略包括通过Web和商业出版商出版、特定学科的会议演讲和主持计算科学会议。

Computing - Other (35) Interdisciplinary (99)The emerging field of computational science, at the intersection of math, computer science, and science, offers an interdisciplinary approach to scientific research that is used in industry and academic settings. In order to be prepared for graduate studies and the workplace, students need experience in computational science. The problem at the undergraduate level is a lack of educational materials for computational science. The goal of this educational materials development project is to create course materials and a curriculum that culminate in a comprehensive, interdisciplinary minor in computational science. A team of faculty members from a variety of disciplines is developing, evaluating, performing in-class testing, and disseminating materials for computational courses in biology, chemistry, environmental science, mathematics, neuroscience, physics, and psychology. The new courses emphasize critical thinking and problem solving skills. Students in science, math, computer science, and pre-service secondary education are the target audience for this curriculum. Features of the minor include a seminar to encourage involvement by under-represented groups (e.g., women and minorities), core courses in computational science to provide the necessary mathematical and computational background, discipline-specific courses to generate interest and provide direct application of computational science skills, and a capstone collaborative research experience in computational science. The curricular materials are being site-tested and evaluated at various institutions to enhance their effectiveness and adoption across diverse student populations. Strategies to widely disseminate the proposed materials include publication via the Web and commercial publishers, discipline-specific conference presentations, and hosting a computational science conference.