应用数学和统计学哲学博士

工程和应用科学学院的应用数学和统计系提供计算应用数学，运筹学，定量金融，统计和计算生物学专业的课程，从而获得硕士学位和博士学位。度。该系提供一系列综合课程和研讨会，有监督的阅读和研究设施。重点是研究现实问题，计算模型以及开发必要的分析概念和理论工具。一个先进的计算实验室用于学生教育和研究，可以使用基于大学的高性能计算设施。它还具有先进的Unix工作站网络和现代化的打印设施。实验室的专职人员可帮助学生熟悉实验室设施。学生参加了与5个国家实验室，几个工业集团以及各种科学，生物医学和工程计划的联合研究。受过广泛
The Department of Applied Mathematics and Statistics, within the College of Engineering and Applied Sciences, offers programs in computational applied mathematics, operations research, quantitative finance, statistics, and computational biology leading to the M.S. and Ph.D. degrees. The department offers an integrated series of courses and seminars, supervised reading, and facilities for research. Emphasis is on the study of real-world problems, computational modeling, and the development of necessary analytical concepts and theoretical tools. A state-of-the-art, computational laboratory is operated for student education and research, with access available to university-based high-performance computing facilities. It also features a network of advanced Unix workstations and modern printing facilities. The laboratory's full-time staff is available to help students become familiar with the laboratory facilities. Students participate in joint research with 5 national laboratories, several industrial groups and various sciences, biomedical, and engineering programs. Students, who receive a broad training, find themselves excellently prepared for careers in government and industry in which mathematics is used as a computational or conceptual tool. Faculty research programs receive significant external funding and provide students with an opportunity for active participation in a variety of projects in all areas of the department. Faculty interests include applied graph theory, biostatistics and computational biology, structure-based drug design, computational fluid dynamics, combinatorial optimizations, computational statistics, data analysis, flow through porous media, fracture mechanics, inverse problems, mixed-boundary value problems, nonlinear conservation laws, quantitative finance, reliability theory, risk management, robust estimation, nonparametric statistics, stochastic modeling and sequential decision making and structure-basedvdrug design. Most doctoral students are supported through either a research or teaching assistantship.