当前位置: X-MOL 学术SIAM Rev. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Developing Workforce with Mathematical Modeling Skills
SIAM Review ( IF 10.8 ) Pub Date : 2024-11-07 , DOI: 10.1137/19m1277643
Ariel Cintrón-Arias, Ryan Andrew Nivens, Anant Godbole, Calvin B. Purvis

SIAM Review, Volume 66, Issue 4, Page 778-792, November 2024.
Mathematicians have traditionally been a select group of academics who produce high-impact ideas enabling substantial results in several fields of science. Throughout the past 35 years, undergraduates enrolling in mathematics or statistics have represented a nearly constant proportion of approximately 1% of bachelor degrees awarded in the United States. Even within STEM majors, mathematics or statistics only constitute about 6% of undergraduate degrees awarded nationally. However, the need for STEM professionals continues to grow, and the list of required occupational skills rests heavily in foundational concepts of mathematical modeling curricula, where the interplay of data, computer simulation, and underlying theoretical frameworks takes center stage. It is not viable to expect a majority of these STEM undergraduates to pursue a double major that includes mathematics. Here we present our solution, some early results of its implementation, and a vision for possible nationwide adoption.


中文翻译:


培养具有数学建模技能的员工队伍



SIAM 评论,第 66 卷,第 4 期,第 778-792 页,2024 年 11 月。

传统上,数学家是一群经过挑选的学者,他们提出具有高度影响力的想法,从而在多个科学领域取得实质性成果。在过去的 35 年里,攻读数学或统计学的本科生在美国授予的学士学位中所占的比例几乎保持不变,约为 1%。即使在 STEM 专业中,数学或统计学也仅占全国授予的本科学位的 6% 左右。然而,对 STEM 专业人员的需求持续增长,所需的职业技能清单在很大程度上取决于数学建模课程的基本概念,其中数据、计算机模拟和底层理论框架的相互作用占据中心位置。期望这些 STEM 本科生中的大多数攻读包括数学在内的双专业是不可行的。在这里,我们介绍了我们的解决方案、其实施的一些早期结果以及可能在全国范围内采用的愿景。
更新日期:2024-11-07
down
wechat
bug