Preparation of Data Driven Mathematical Scientists for the Workforce

东田纳西州立大学(ETSU)的这个项目为三组学生提供了三年的支持，每组10名学生。学生主修数学，专注于计算/应用数学或统计学；或辅修数学科学，专注于大数据，因为他们在八个STEM系中的一个完成了他们的主要要求。学生们作为大二学生进入该项目。该项目从为期两周的暑期课程开始，学生们沉浸在计算科学的理论和应用中。在秋季和接下来的三年里，学生们每两周参加一次研讨会，在迷你研讨会、来访演讲者、职业规划、团队建设和各种其他活动之间交替进行。学生们预计将在三年的资助后毕业。该项目的技术优势在于它符合渴望在计算、高科技环境中工作的学生的兴趣。暑期课程提供了一个集中的数学建模和计算环境，为参与者未来三年的学习做好准备。因此，当参与者具有不同的教育背景时，它代表了一种经过充分检验的启动长期培训努力的方法。整个为期三年的努力旨在将学生培养成解决复杂数据驱动问题的数学科学家。此外，该项目与NSF和其他组织支持的该机构的其他项目相结合，以增强这些特定奖学金倡议的影响。其他合作项目包括NSF-REU、NSF-UBM、NSF-Noyce、TBR-Access和多样性倡议，以及ETSU州长学校。由于与东田纳西州立大学目前正在实施的其他STEM教育项目进行合作和交流，为招募妇女和少数民族提供了便利。该项目的活动，如研讨会、演讲、实习和课程，使学生能够受益于长期沉浸在预测建模的文化中；分析大型和复杂的或流体动力学数据集；以及科学计算，所有这些都有望在毕业后增加学生的留存率。

This project at East Tennessee State University (ETSU) provides three years of support for three cohorts of ten students each. Students major in the Mathematical Sciences with a Concentration in Computational/Applied Mathematics, or Statistics; or receive a minor in the mathematical sciences, with a big data focus, as they complete their major requirements in one of eight STEM departments. Students enter the program as sophomores. The program starts with a two week summer session in which students are immersed in computational science, both theoretical and applied. In the Fall, and for the next three years, students attend a bi-weekly seminar that alternates between mini-workshops, visiting speakers, career planning, team building, and a variety of other activities. Students are expected to graduate after three years of support. The technical merit of the project lies in its alignment with the interests of students who aspire to work in a computational, high-technology environment. The summer program provides a concentrated Mathematical Modeling and Computational environment that prepares participants for the next three years of study. As such it represents a well-tested method of initiating a long-term training effort when participants enter with diverse educational backgrounds. The overall three-year effort intends to develop students into mathematical scientists who solve complex data-driven problems. Additionally, the project integrates with other programs at the institution - supported both by NSF and other organizations, to enhance the impact of these particular scholarship initiatives. Other collaborating programs include NSF-REU, NSF-UBM, NSF-Noyce, TBR-Access and Diversity Initiative, and the ETSU Governor's School. Recruitment of women and minorities is facilitated due to cooperation and communication with other STEM education programs currently in operation at East Tennessee State University. The project's activities, e.g. seminars, speakers, internships, and courses, enable students to benefit from long-term immersion in a culture of predictive modeling; analysis of large and complex or fluid dynamics data sets; and scientific computation, all of which hold promise to increase retention of students through graduation.