Events

  • Introduction to Survey Design: Data Collection, Questionnaire Design and Response Processes-Lecture

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This lecture-format workshop will present an overview of available modes and methods of survey data collection as well as an introduction to the survey response process and implications for questionnaire design.  Participants will gain an appreciation of the tradeoffs inherent in survey design decisions and how design can affect data quality and survey errors. Topics […]

    Tutorial: Learning to use the Community Earth System Model on Flux

    Space Research Building Auditorium, Room 2246 2455 Hayward St., Ann Arbor, MI, United States

    If you are interested in learning how to operate the Community Earth System Model (CESM) global climate modeling system using U-M computing resources, please attend this interactive tutorial.

    Biostatistics Seminar: Kenneth Lange, Professor of Biomathematics, Human Genetics and Statistics, UCLA: “Next Generation Statistical Genetics”

    1690 SPH I 1415 Washington Heights, Ann Arbor, MI, United States

    This talk will discuss how modern data mining techniques can be imported into statistical genetics. Most relevant models now invoke high-dimensional optimization. Penalization and set projection give sparsity. Separation of variables gives parallelization. Time permitting, these ideas will be illustrated by several examples: estimation of ethnic ancestry, genotype imputation via matrix completion, conversion of imputed genotypes into haplotypes, matrix completion discriminant […]

    CoE Endowed Professorship Recognition: Eric Michielssen, The Future of Scientific Computing

    Johnson Rooms, Lurie Engineering Center, 3rd Floor 1221 Beal Ave., Ann Arbor, MI, United States

    Abstract: For decades, high-end computer-aided simulations have helped researchers gain new insights into the nature of the physical world. But only relatively recently has computational science developed the ability to quantitatively predict the behavior of physical phenomena, and taken its place next to theory and physical experimentation as the third pillar of scientific inquiry. In […]

  • HPC Summer Bootcamp, presented by XSEDE and the Pittsburgh Supercomputing Center

    1180 Duderstadt Center 2281 Bonisteel Blvd, Ann Arbor, MI, United States

    University of Michigan Satellite Site is hosted by the SC2 Please join us in this 4 day event to learn about hybrid computing including MPI, OpenMP, OpenACC and accelerators. The event will conclude with a special hybrid exercise contest that will challenge the students to apply their skills over the following 3 weeks and be […]

    Advanced Research Computing at Michigan — An Overview

    Kahn Auditorium, Biomedical Science Research Building 109 Zina Pitcher Pl., Ann Arbor, MI, United States

    Brock Palen, Associate Director of Advanced Research Computing - Technology Services, will provide an overview of the resources available to researchers engaged in computationally intensive science on the University of Michigan campus. The talk is open to researchers from any department at U-M. The session will address: high performance computing services data science services such […]

  • MIDAS hosting Data Science Summer Camp for high school students

    The Michigan Institute for Data Science (MIDAS) is hosting a data science summer camp for juniors and seniors in high school, from July 18 – 22, 2016. Students in the camp, titled "From Simple Building Blocks to Complex Shapes: A Visual Tour of Fourier Series" will create art, diagnose disease, and play detective using the Fourier Series. […]

  • Statistics: A Review

    Rackham Building, West Conference Room, Fourth Floor 915 E. Washington St., Ann Arbor, MI, United States

    A one-day, intensive review of common statistical methods of design, measurement analysis and presentation of scientific investigations.  The workshop is designed for any scholar engaged in quantitative research. Statistics: A Review discusses answers to the following questions: What should we measure? What are the main design types; what are the comparative advantages of each? How […]

    Nathan Kutz

    MICDE Seminar: Nathan Kutz, University of Washington

    1360 East Hall 530 Church St., Ann Arbor, MI, United States

    Bio: Nathan Kutz is the Robert Bolles and Yasuko Endo Professor in the department of Applied Mathematics, and an adjunct professor of Electrical Engineering and Physics at the University of Washington. He was awarded the B.S. in Physics and Mathematics from the University of Washington in 1990 and the PhD in Applied Mathematics from Northwestern University […]