The mission of the Computational Science doctoral program is to train graduates that can use, advance and create new computational tools and models for understanding natural phenomena and to use such knowledge to engineer solutions that can address relevant problems in science, engineering and other related areas. The program aims to provide students with training and research experiences that will provide them with the knowledge, skills and expertise necessary to use computational models and tools in advancing knowledge in science and\/or engineering.<\/p>\n\n\n\n
The graduates of the Computational Science doctoral degree program must be able to:<\/p>\n\n\n\n
1.<\/strong>\u00a0Describe and formulate a problem statement that requires computational tools to solve Students are assessed through the following means:<\/p>\n\n\n\n 1.<\/strong>\u00a0Research Report Exam For more information, please contact:<\/p>\n\n\n\n
2.<\/strong>\u00a0Compare, critically evaluate and choose from existing computational approaches or models, or develop new computational approaches or models for solving problems in physical, biological or engineering systems
3.<\/strong>\u00a0Formulate solutions within the limitations of available computational resources and data to develop and validate computational models
4.<\/strong>\u00a0Synthesize and assimilate data for improving the accuracy of computational models and the performance of computational methods
5.<\/strong>\u00a0Assess the accuracy, robustness and efficiency of numerical approaches and algorithms
6.<\/strong>\u00a0Use existing software and computational tools to conduct research and advance knowledge in an area of inquiry, and develop new tools as necessary that can be used, modified and advanced by others
7.<\/strong>\u00a0Document and communicate (orally and in writing) computational research and results to varied audiences and users
8.<\/strong>\u00a0Acquire, follow, and implement best practices in generating, handling, and analyzing data; develop the ability to critically question the design of algorithms and their purposes; abide by and promote scientific integrity and accountability<\/p>\n\n\n\nAssessment:<\/h2>\n\n\n\n
2.<\/strong>\u00a0Dissertation Proposal Exam
3.<\/strong>\u00a0Dissertation Defense
4.<\/strong>\u00a0Publication of Peer-Reviewed Articles
5.<\/strong>\u00a0Institutional Data (Time-to-Degree, Graduation Rates)
6.<\/strong>\u00a0Employment Placement Rates
7.<\/strong>\u00a0Student Surveys
8.<\/strong>\u00a0Alumni Surveys<\/p>\n\n\n\n