EXTREEMS-QED: GW Mathematics and Statistics Training, Education, & Research (MASTER)

乔治华盛顿大学数学与统计培训、教育和研究（硕士）课程旨在激发学生对分析大规模数据的计算挑战的数学问题和技术的兴趣。该项目将由数学系和统计学系运营，并得到计算机科学系的支持。计算和数据驱动科学与工程（CDS&amp；E）现在已经成为一个独特的智力和技术学科，位于应用数学，统计学，计算机科学，核心科学和工程学科的交叉点。该项目将帮助培养数学和统计学的本科生，使他们准备好面对CDS&amp；E中的新挑战。训练学生在处理大数据时进行数学思考，将有助于学生在许多应用领域取得成功。该项目将以课程改进、研究指导和教师发展为特色。课程改进将增加以CDS&amp；E为主题的新课程；本科研究指导计划将为数学或统计专业的优秀本科生提供研究经验。研究项目本身将涉及CDS&amp；E研究问题，涉及网络动力学、生物数据分析、聚类、大型数据集拓扑和压缩感知。新开设的课程包括网络数学、数据挖掘统计学、CDS&amp；E数学建模；课程将侧重于各种主题，包括网络数据分析、生物网络数据、数据探索的图形技术、统计计算、维度分析和大型数据集建模。为教师举办的夏季讲习班将提高大学教师在cd&e方面的技能。

The George Washington University Mathematics and Statistics Training, Education, and Research (MASTER) program is designed to excite students about the mathematical questions and techniques underlying the computational challenges of analyzing large-scale data. The program will be run by the Departments of Mathematics and Statistics, with support from faculty in Computer Science. Computational and Data-enabled Science and Engineering (CDS&E) has now emerged as a distinct intellectual and technological discipline lying at the intersection of applied mathematics, statistics, computer science, core science and engineering disciplines. The program will help educate mathematics and statistics undergraduate students who are prepared to confront new challenges in CDS&E. Training students to think mathematically while working with big data will prove useful for students' successful careers in many application areas.The project will feature curricular enhancements, research mentoring, and faculty development. The curricular enhancements will add new courses centered about the theme of CDS&E; the undergraduate research mentoring program will provide research experience for talented undergraduates majors in mathematics or statistics. The research projects will themselves involve CDS&E research questions arising from network dynamics, biological data analysis, clustering, topology of large data sets, and compressive sensing. Among the new courses to be offered are mathematics of networks, the statistics of data exploration, and CDS&E mathematical modeling; the courses will be focused on the variety of topics, including network data analysis, biological network data, graphical techniques for data exploration, statistical computing, dimension analysis, and modeling of large data sets. Summer workshops for faculty will enhance the skills of college faculty in CDS&E.