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    • 2017 U-M Data Science Research Forum

    Michigan League 911 N. University, Ann Arbor, MI, United States

    Forum Highlights Oral and poster presentations on Theoretical foundations of data science Data science methodology Data science applications in any research domain Social impact of data science research How to engage industry workshop Adrian Fortino, Partner (Mercury Fund) Mike Psarouthakis, Director (U-M Venture Center) Kevyn Collins-Thompson, Associate Professor, U-M School of Information Mike Cafarella, Associate Professor, […]

    Maziar Raissi

    ME Faculty Candidate Seminar Series: Maziar Raissi, Brown University

    Bio: Maziar Raissi is an Assistant Professor of Applied Mathematics (research) in the Division of Applied Mathematics at Brown University. He received his Ph.D. in Applied Mathematics & Statistics, and Scientific Computations from University of Maryland -- College Park in December 2016. Raissi's expertise lies at the intersection of Probabilistic Machine Leaning, Deep Learning, and […]

    Xun (Ryan) Huan

    ME Faculty Candidate Seminar Series: Xun (Ryan) Huan, Combustion Research Facility at Sandia National Laboratories

    Bio: Xun (Ryan) Huan is a postdoctoral researcher in the Combustion Research Facility at Sandia National Laboratories. He received a Ph.D. in Computational Science and Engineering from MIT Department of Aeronautics and Astronautics. He also has a master's degree from MIT and a bachelor's degree from the University of Toronto, both in Aerospace Engineering. Xun's […]

    Xiu Yang

    ME Faculty Candidate Seminar Series: Xiu Yang, Computational Mathematics Scientist, Pacific Northwest National Laboratory

    2150 H.H. Dow 2300 Hayward St, Ann Arbor, United States

    Bio: Dr. Xiu Yang received his B.S. and M.Sc. in computational mathematics from Peking University, Beijing, China and Ph.D. in applied mathematics from Brown University, Providence, RI. He is currently a research scientist in computational mathematics group at Pacific Northwest National Laboratory, Richland, WA. His research interests include uncertainty quantification, multi-scale modeling, multi-fidelity data fusion and […]

    • SPSS I Introduction to SPSS

    Modern Languages Building (MLB), Room 2001B

    Note: Topic order is subject to change. This workshop is designed to introduce participants to SPSS. It will cover the fundamentals of SPSS, within-case transformations, data management with multiple files, and basic statistics and graphics. Useful for any scholar engaged in quantitative research. Fundamentals This portion introduces SPSS, the menu and the help systems, and […]

    Regular Expressions II

    Modern Languages Building (MLB), Room 2001B

    Regular expressions are perfectly suited for people who like puzzles. Regular expressions are a sequence of characters used to define a search pattern. They are commonly used to do “find” and “find and replace” string operations. They are also used to validate strings like phone numbers, passwords, etc. in data entry. Regular expression capabilities can […]