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

美国在发展科学、工程和技术领域的高技能工人方面继续面临危机。计算已经深入渗透到我们社会的方方面面，每个领域都因最近可负担的高性能计算的到来而发生了变化。尽管计算在整个工程和科学领域的普及，大学水平的计算教育仍然在很大程度上与其他学科分开。培养一支对计算机科学和软件工程的基本概念有透彻理解的科学和工程队伍是至关重要的，这些概念与特定领域有关，并具备将其应用于其专业领域所需的技能。德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，该项目将支持跨计算机科学、生物科学和经济与金融部门开发协同多学科课程组合的机构基础，这将为学生提供传统学位通常不提供的领域的实质性内容。该项目的首要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、跨机构的交叉施肥模型。S学术结构。本提案通过开发一种综合的方法来培养学生在各种科学学科中计算和算法设计相关方面的技能，从而满足这些需求。该团队将开发一种新的计算机课程，适合那些职业重叠的学生。主要的重点是多学科学术项目的发展，建立在相关成分之间的协作工作上，而不是建立新的学术单位。这些跨学科的学术课程将传达足够的深度，使学生在各自的领域做出重大贡献。该项目将允许对以下断言进行调查：计算机科学与女性参与更能反映人口的学科（如生物学和社会科学）之间的合作工作，可以帮助扭转拥有计算机相关学位或工程学位的女性比例很小的趋势。

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.