CPATH CDP: An Integrated, Multidisciplinary and Cross-Fertilizing Model for Computing Education

美国继续面临科学、工程和技术领域高技能工人发展的危机。计算已经深入渗透到我们社会的方方面面，最近经济实惠的高性能计算的到来已经改变了每个领域。尽管计算在整个工程和科学领域普遍增长，但大学水平的计算教育仍然在很大程度上与其他学科分开。至关重要的是培养一支科学和工程队伍，彻底理解计算机科学和软件工程中与特定领域有关的基本概念，并掌握将这些概念应用于其专业领域所需的技能。得克萨斯大学埃尔帕索分校提出了一个概念和发展规划(CDP)项目，该项目将支持机构基础工作，以开发计算机科学、生物科学和经济与金融系之间的协同多学科课程组合，为学生提供传统学位通常不提供的领域的实质性内容。这个项目的总体目标是支持概念设计和规划，以创建一个以计算为中心的、跨学科的、跨学科的、跨越学院-S学术结构的模型。这项建议通过开发一种全面的方法来发展学生在各种科学学科中的计算和算法设计的相关方面的技能，从而满足了这些需求。该团队将开发一种新的计算课程，适合职业生涯重叠的学生。主要的重点是发展多学科的学术计划，建立在相关成员之间的协作工作中，而不是创建新的学术单位。这些多学科的学术课程将传达足够的深度，为学生在各自领域做出重大贡献做好准备。这一项目将有助于对以下断言进行调查：计算机科学与妇女参与更能反映大众的学科之间的协作工作，例如生物和社会科学，有助于扭转一小部分妇女毕业于计算机相关学位或工程学位的趋势。

The United States continues to face a crisis in the development of highly-skilled workers in science, engineering, and technology. Computing has deeply permeated every aspect of our society, and every field has been transformed by the recent arrival of affordable high-performance computing. Despite this pervasive growth of computation throughout engineering and science, university level computing education is still largely separated from other disciplines. It is crucial to develop a scientific and engineering workforce with a thorough understanding of the fundamental conceptual ideas from computer science and software engineering that pertain to a specific domain and the skills necessary to apply them to their field of expertise. The University of Texas at El Paso proposes a Conceptual and Development Planning (CDP) project that will support the institutional groundwork to develop synergistic multidisciplinary curricula combinations across the departments of Computer Science, Biological Sciences and Economics and Finance that will provide students with substantive content in domains not typically provided by traditional academic degrees. The overarching goal of this project is to support the conceptual design and planning for the creation of a computing-centric, interdisciplinary, and cross-fertilizing model that spans the institution?s academic structures. This proposal addresses these needs by developing a comprehensive approach to developing skills in relevant aspects of computation and algorithm design in students in a wide variety of scientific disciplines. The team will develop a new computational curriculum suitable for students whose careers will overlap. The principal focus is the development of multidisciplinary academic programs, built from collaborative work between the involved constituents, rather than the creation of new academic units. These multidisciplinary academic programs will convey sufficient depth to prepare students to make significant contributions in their respective fields. This project will permit the investigation of the assertion that collaborative work between computer science, and disciplines where the participation of women is more reflective of the population, e.g., biology and social sciences, can help reverse the trend of a small proportion of women graduating with a computing related degree or an engineering degree.