CS for Insight: Disciplinary Computing Beyond CS1

计算机科学在大学环境中的传统作用是培养熟练的软件工程师和计算专业人员。 非计算学科对计算专业知识的需求日益增长，这是对这一角色的补充，而不是取代。 Harvey Mudd College的“CS for Insight”项目将开发一个课程，作为从典型的计算机科学入门课程（CS1）到许多领域的特定学科课程的桥梁。 在“CS for Insight”课程中，学生将使用现有的计算资源，首先是为了获得学习新界面的信心，然后将应用这些资源来解决他们学科中的挑战。 该项目更广泛的目标将是更好地了解非计算学科可能遵循的途径，为他们的学生提供适合其特定学科的计算技能。全国各地学校的部门正在探索利用计算为特定目的的许多途径。 两种模式已经开始出现。 一些学科“适应和吸收”，从一开始就整合自己的计算课程。 其他人则合作“先分解再跟进”，选择在基于计算的CS1基础上建立特定学科的技能。 克莱蒙学院的联盟，同时广泛多样和紧密结合，提供了一个实验室，特别适合比较这些范式头对头，并探索混合方法，将出现在一起。 这个项目将利用学科的多样性来吸引更具代表性的学生群体。 PI团队将仔细跟踪参与者的人口统计和计算身份，以开发可供其他人使用的知识，以创建一个模型，所有学科都可以利用计算作为其独特文化的一部分。

Computer Science's traditional role in the university setting has been to develop skilled software engineers and computing professionals. Eclipsing, not replacing, that role is the growing need for computing expertise in non-computing disciplines. The "CS for Insight" project at Harvey Mudd College will develop a curriculum that will serve as a bridge from a typical introductory computer science course (CS1) to discipline-specific courses in computing for many fields. In the "CS for Insight" curriculum students will use existing computing resources, first to gain confidence in learning new interfaces, and then will apply these resources to address challenges within their discipline. The project's broader goal will be to better understand the pathways that non-computing disciplines may follow to provide their students with the appropriate computing skills for their specific discipline.Departments at schools across the country are exploring the many pathways for leveraging computation for their specific purposes. Two paradigms have begun to emerge. Some disciplines "adapt and assimilate," integrating their own computing curriculum from the very start. Others collaborate to "factor-out-then-follow-up," choosing to build discipline-specific skills atop a computing-based CS1. The consortium of Claremont Colleges, simultaneously widely varied and close-knit, offers a laboratory uniquely suited for comparing these paradigms head-to-head and exploring the hybrid approaches that will arise alongside. This project will leverage this disciplinary diversity to draw a more representative cohort of students to computing. The PI team will carefully track the demographics and computational identities of the participants to develop knowledge that can be used by others to create a model by which all disciplines can leverage computing as part their own unique culture.