CSUMS: NC State University Computation for Undergraduates in Statistics Program (NCSU CUSP)

Ghosh0703392 这个CSUMS项目，NCSU CUSP，培养学生在一个重要的研究经验，并在计算，数学和统计的语言流利。 调查员和他的同事提供探究引导学习，以训练本科生在涉及大量数据集或计算密集型方法的问题上令人兴奋的新方法。该计划将当代统计分析计算的广泛课程与专注于药物发现，模式识别，统计遗传学，数据同化或金融风险等应用领域的实习和研究实验室结合起来。 实习和实验室提供科学背景，统计和计算方法的概述，团队合作和沟通技巧的培训和反馈，以及重要的指导研究经验。 来自跨学科团队的教师成员在数据挖掘，地球物理和环境数据同化，统计遗传学和生物信息学，贝叶斯分层建模，金融风险建模和时间序列分析等领域进行研究，担任NCSU CUSP导师和来自邻近梅雷迪思学院的学生的共同导师。 NCSU CUSP满足四个具体目标。 它（1）使学生能够利用计算机的进步，使复杂的计算成为统计和数学方法课程和研究经验的一个组成部分;（2）提高学生的非技术技能，包括公开演讲和书面沟通，团队合作和道德推理，（3）提供研究经验，以应用主动性和创造性，开发跨学科科学问题的统计和计算方法;和（4）准备和激励高素质的学生追求在数学和计算科学的跨学科研究生课程的多元化池。 在技术快速进步的帮助下，许多科学学科每天都会产生大量新数据，而且数据量正在以人类历史上前所未有的速度增长。美国要想保持竞争力和创新力，就迫切需要一个受过新颖而强大技术培训的多元化研究人员团队来说明、建模和分析这些大规模、高维和非线性结构的数据。在全国最大的统计学系之一的资源基础上，NCSU CUSP成为全国第一个计算密集型本科生统计课程之一。该项目导致了新的计算密集型课程和跨学科课程的发展，这将产生长期的影响。 该项目还致力于在计算统计的新兴领域增加多样性。 NCSU CUSP提高了数学专业和教师对统计科学的认识，促进了跨学科项目之间的更紧密合作，并培养了一批准备充分的学生，以追求定量科学的研究生课程。 沟通技能的培训有助于培养能够将科学研究成果带给公众和政策制定者的毕业生。 NCSU CUSP的方法和结果通过区域和国家会议、参加研讨会、CUSP网站和发表文章向数学科学和计算界广泛宣传。 该项目得到了MPS数学科学部、MPS多学科活动办公室和EHR本科教育部的支持。

Ghosh0703392 This CSUMS project, NCSU CUSP, prepares students to engagein a significant research experience, and to be fluent in thelanguages of computing, mathematics, and statistics. Theinvestigator and his colleagues provide inquiry-guided learningto train undergraduates in exciting new approaches to problemsinvolving massive datasets or computationally intensive methods. The program couples extensive coursework in computing forcontemporary statistical analysis with a practicum and researchlab focusing on an area of application such as drug discovery,pattern recognition, statistical genetics, data assimilation, orfinancial risk. The practicum and lab provide scientificbackground, an overview of statistical and computationalapproaches, training and feedback on teamwork and communicationskills, and a significant mentored research experience. Facultymembers from interdisciplinary teams conducting research in theareas of data mining, geophysical and environmental dataassimilation, statistical genetics and bioinformatics, Bayesianhierarchical modeling, financial risk modeling and time seriesanalysis serve as NCSU CUSP mentors and as co-mentors forstudents from neighboring Meredith College. The NCSU CUSP meetsfour specific objectives. It (1) prepares students to takeadvantage of computing advances and make sophisticated computingan integral part of the statistical and mathematical methodologycurriculum and research experience; (2) improves students'non-technical skills, including public speaking and writtencommunication, working in teams, and ethical reasoning, (3)provides the research experience to apply initiative andcreativity in developing statistical and computing approaches tointerdisciplinary scientific problems; and (4) prepares andmotivates a diverse pool of highly qualified students to pursueinterdisciplinary graduate studies in the mathematical andcomputational sciences. Aided by rapid advances in technology, massive amounts ofnew data are generated daily in many scientific disciplines andthe volumes are growing at a rate unprecedented in human history. For the US to remain competitive and innovative, a diverse poolof researchers trained in novel and powerful techniques iscritically needed to illustrate, model, and analyze theselarge-sized, high-dimensional, and nonlinearly-structured data. Building on resources of one of the country's largest statisticsdepartments, NCSU CUSP becomes one of the first computationallyintensive statistics programs for undergraduates in the nation. This project leads to development of new computationallyintensive courses and interdisciplinary courses, which will havea long term impact. The project is also committed at the outsetto increasing diversity in the emerging field of computationalstatistics. NCSU CUSP increases awareness of statistical scienceamong mathematics majors and faculty, fosters greatercollaboration between interdisciplinary programs, and encouragesa diverse pool of well-prepared students to pursue graduatestudies in quantitative sciences. Training in communicationskills helps develop graduates who can bring scientific researchresults to the public and policy makers. NCSU CUSP methods andresults are widely publicized to the mathematical science andcomputational communities through regional and nationalconferences, participation in workshops, a CUSP website, andpublished articles. The project is supported by the MPS Divisionof Mathematical Sciences, the MPS Office of MultidisciplinaryActivities, and the EHR Division of Undergraduate Education.