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X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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DTSTART;TZID=UTC:20160913T161000
DTEND;TZID=UTC:20160913T170000
DTSTAMP:20260607T072105
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000028-1473783000-1473786000@micde.umich.edu
SUMMARY:MICDE Seminar: Nathan Kutz\, University of Washington
DESCRIPTION: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 in 1994. Following postdoctoral fellowships at the Institute for Mathematics and its Applications (University of Minnesota\, 1994-1995) and Princeton University (1995-1997)\, he joined the faculty of applied mathematics and served as Chair from 2007-2015. \nData-driven discovery of dynamical systems in the engineering\, physical and biological sciences\nWe demonstrate that the integration of data-driven dynamical systems and machine learning strategies with adaptive control are capable of producing efficient and optimal self-tuning algorithms for many complex systems arising in the engineering\, physical and biological sciences. We demonstrate that we can use emerging\, large-scale time-series data from modern sensors to directly construct\, in an adaptive manner\, governing equations\, even nonlinear dynamics\, that best model the system measured using sparsity-promoting techniques. Recent innovations also allow for handling multi-scale physics phenomenon and control protocols in an adaptive and robust way. The overall architecture is equation-free in that the dynamics and control protocols are discovered directly from data acquired from sensors. The theory developed is demonstrated on a number of example problems. Ultimately\, the method can be used to construct adaptive controllers which are capable of obtaining and maintaining optimal states while the machine learning and sparse sensing techniques characterize the system itself for rapid state identification and improved optimization. \nThis seminar is co-sponsored by the U-M Department of Mathematics.
URL:https://micde.umich.edu/event/micde-2016-fall-seminar-series-nathan-kutz-university-of-washington/
LOCATION:1360 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2016/08/Nathan-Kutz.png
GEO:42.2757302;-83.7351764
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160906T083000
DTEND;TZID=America/Detroit:20160906T170000
DTSTAMP:20260607T072105
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000020-1473150600-1473181200@micde.umich.edu
SUMMARY:Statistics: A Review
DESCRIPTION: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: \n\nWhat should we measure?\nWhat are the main design types; what are the comparative advantages of each?\nHow are the sample sizes determined?\nWhat are the appropriate inference procedures?\nWhat do standard error\, p-value and confidence level mean?\nWhat are some dangers we need to avoid?\nHow should we display our results?\nWhat are the statistical software options?\n\n\n 
URL:https://micde.umich.edu/event/statistics-a-review/
LOCATION:Rackham Building\, West Conference Room\, Fourth Floor\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building West Conference Room Fourth Floor 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160718T000000
DTEND;TZID=UTC:20160722T000000
DTSTAMP:20260607T072105
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000001-1468800000-1469145600@micde.umich.edu
SUMMARY:MIDAS hosting Data Science Summer Camp for high school students
DESCRIPTION: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. Students will learn the basic mathematics behind Fourier series and use them to tackle data science problems by starting with simple building blocks and scaling up the complexity. Click to watch our preview video. Any high school student can apply\, with a special focus on Juniors and Seniors. Interest in mathematics and art is strongly encouraged; experience with trigonometry recommended. The camp will be full day\, and attendance is expected all five days. Contact the organizers at midas-camp@umich.edu  or visit the camp’s website for more information.
URL:https://micde.umich.edu/event/midas-hosting-data-science-summer-camp-for-high-school-students/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160627T090000
DTEND;TZID=America/Detroit:20160627T103000
DTSTAMP:20260607T072105
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000026-1467018000-1467023400@micde.umich.edu
SUMMARY:Advanced Research Computing at Michigan — An Overview
DESCRIPTION: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. \nThe talk is open to researchers from any department at U-M. \nThe session will address: \n\nhigh performance computing services\ndata science services such as Hadoop and Spark\nresearch storage\ncloud services\nnetworking services\ngrant consultation and collaboration\naccess to off-campus resources.\n\nThere will be time for questions and answers after the presentation.
URL:https://micde.umich.edu/event/advanced-research-computing-at-michigan-an-overview/
LOCATION:Kahn Auditorium\, Biomedical Science Research Building\, 109 Zina Pitcher Pl.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Flux
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2818273;-83.7345204
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160614T110000
DTEND;TZID=UTC:20160617T170000
DTSTAMP:20260607T072105
CREATED:20230905T171441Z
LAST-MODIFIED:20260401T202001Z
UID:10000025-1465902000-1466182800@micde.umich.edu
SUMMARY:HPC Summer Bootcamp\, presented by XSEDE and the Pittsburgh Supercomputing Center
DESCRIPTION:University of Michigan Satellite Site is hosted by the SC2 \nPlease join us in this 4 day event to learn about hybrid computing including MPI\, OpenMP\, OpenACC and accelerators. \nThe 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 awarded the Third Annual XSEDE Summer Boot Camp Championship Trophy. The SC2 team is looking forward to this competition. It will be a fun way to learn about HPC and interact with us!
URL:https://micde.umich.edu/event/hpc-summer-bootcamp-presented-by-xsede-and-the-pittsburgh-supercomputing-center/
LOCATION:1180 Duderstadt Center\, 2281 Bonisteel Blvd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.291072;-83.715734
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1180 Duderstadt Center 2281 Bonisteel Blvd Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2281 Bonisteel Blvd:geo:-83.715734,42.291072
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160512T153000
DTEND;TZID=UTC:20160512T170000
DTSTAMP:20260607T072105
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000024-1463067000-1463072400@micde.umich.edu
SUMMARY:CoE Endowed Professorship Recognition: Eric Michielssen\, The Future of Scientific Computing
DESCRIPTION:Abstract: \nFor 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 this talk\, I will explain the mathematical algorithms and computing hardware that fueled this transformation. I will also discuss what the future of scientific computing holds\, given the demise of Moore’s law\, using computational electromagnetics as an example. Finally\, I will argue that U-M is ideally positioned to become a national leader in research computing\, giving researchers in its 19 schools and colleges a competitive advantage in their pursuit of engineering\, scientific\, and medical discoveries. \nBio: \nEric Michielssen is Professor of Electrical Engineering and Computer Science and Associate Vice President for Advanced Research Computing. He was also the founding director of the Michigan Institute for Computational Discovery and Engineering (MICDE).  Eric is an international leader in the field of computational electromagnetics (CEM)\, which involves the development and application of computer algorithms to simulate the generation\, propagation\, and interaction of electromagnetic radiation with matter. He has applied his techniques to the characterization of semiconductor and microelectronic devices\, photonic crystals and optical phenomena\, aircraft scattering\, and terrain detection\, to name a few. \nProf. Michielssen’s research on fundamental algorithms is found in the codes and simulations of countless other researchers as well as commercially available simulators. His more than 500 journal and conference publications have been cited more than 10\,500 times\, with an h-index of 43.  Eric serves as Editor-in-Chief of the International Journal of Numerical Modeling\, and served on the National Academy’s Committee on Mathematical Foundations of Uncertainty Quantification\, Validation\, and Verification. He is an IEEE Fellow.
URL:https://micde.umich.edu/event/coe-endowed-professorship-recognition-eric-michielssen-the-future-of-scientific-computing/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Seminar
GEO:42.2914823;-83.7138452
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160505T153000
DTEND;TZID=UTC:20160505T170000
DTSTAMP:20260607T072105
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000022-1462462200-1462467600@micde.umich.edu
SUMMARY:Biostatistics Seminar: Kenneth Lange\, Professor of Biomathematics\, Human Genetics and Statistics\, UCLA: "Next Generation Statistical Genetics"
DESCRIPTION: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 analysis\, estimation in the linear mixed model\, iterative hard thresholding in GWAS\, and sparse principal components analysis.
URL:https://micde.umich.edu/event/biostatistics-seminar-kenneth-lange-professor-of-biomathematics-human-genetics-and-statistics-ucla-next-generation-statistical-genetics/
LOCATION:1690 SPH I\, 1415 Washington Heights\, Ann Arbor\, MI\, United States
GEO:42.2807993;-83.7303417
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160505T143000
DTEND;TZID=UTC:20160505T163000
DTSTAMP:20260607T072105
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000021-1462458600-1462465800@micde.umich.edu
SUMMARY:Tutorial: Learning to use the Community Earth System Model on Flux
DESCRIPTION: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.\nTopics:\n\n\nCompile CESM on the U-M computing cluster Flux\nRun a short (e.g.\, 1 day) global atmosphere simulation with CESM\nVisualize model output and compute global averages of key model states\nLearn how to implement a simple source code change\nGain pointers to online resources that can help with the customization of the model for unique research needs\nRSVP: Contact Prof. Flanner at flanner@umich.edu.
URL:https://micde.umich.edu/event/tutorial-learning-to-use-the-community-earth-system-model-on-flux/
LOCATION:Space Research Building Auditorium\, Room 2246\, 2455 Hayward St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Flux
GEO:42.2944115;-83.7113911
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Space Research Building Auditorium Room 2246 2455 Hayward St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2455 Hayward St.:geo:-83.7113911,42.2944115
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160505T090000
DTEND;TZID=America/Detroit:20160505T170000
DTSTAMP:20260607T072105
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000002-1462438800-1462467600@micde.umich.edu
SUMMARY:Introduction to Survey Design: Data Collection\, Questionnaire Design and Response Processes-Lecture
DESCRIPTION: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 will include: \n\nSurvey errors\, in particular measurement\, coverage\, and nonresponse error.\nWhat to consider when selecting a data collection method for a particular research question.\nMeasurement (response) error and how to reduce it through question wording/format and questionnaire structure.\n\nThe role of the interviewer and interviewer effects.
URL:https://micde.umich.edu/event/introduction-to-survey-design-data-collection-questionnaire-design-and-response-processes-lecture/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
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