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DTSTART;TZID=America/Detroit:20200115T120000
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SUMMARY:MICDE Seminar: Allen Sanderson\, Research Scientist\, Scientific Computing and Imaging Institute\, The University of Utah
DESCRIPTION:Bio: Allen Sanderson\, Ph.D. is a Research Scientist at the University of Utah’s Scientific Computing and Imaging Institute. His interest lies in visualization and analysis of large data coming from application areas ranging from plasma physics to combustion. Recently he has focused on new ways to utilize in situ data analysis and visualization which often has him working directly on the science application infrastructure. \nTeasing out Ephemeral Data from HPC Applications for In Situ Visualization and Analysis\nIt is well known that as HPC applications have grown\, I/O has become a bottleneck\, which has required scientists to turn to in situ tools for data exploration. The focus of this exploration has typically been on simulation data. However\, applications also produce ephemeral data that is optionally written to disk for post hoc analysis\, but not otherwise saved or utilized by the application in subsequent time steps. One example of ephemeral data is runtime performance data. In this talk I will present the infrastructure implemented for efficiently collecting this and other data within the Uintah framework which was coupled to VisIt’s in situ toolkit for analysis and visualization. This collection and coupling allows performance data to be visualized using multiple domains giving insight previously not possible. As part this coupling\, we take advantage of VisIt’s in situ custom user interface to create a “simulation dashboard” that allows for in situ computational steering and visual debugging allowing for improvements in the development and simulation workflow. \nDr. Sanderson is being hosted by the Scientific Computing Student Club [SC2].  If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. Limited lunch will be provided. 
URL:https://micde.umich.edu/event/micde-seminar-allen-sanderson/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181109T130000
DTEND;TZID=America/Detroit:20181109T140000
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SUMMARY:SC2 Alumni Seminar Series: Eric Harper\, NRC Research Associate\, AFRL
DESCRIPTION:Bio: Dr. Eric Harper is a Postdoctoral Fellow at the Air Force Research Laboratories (AFRL) at Wright-Patterson Air Force Base (WPAFB) in Dayton\, Ohio as part of the Air Force Science and Technology Fellowship Program (STFP). He is a member of the Optical Theory Group (OTG)\, simulating optical metamaterials to optimize their design using scientific computing techniques. He earned his B.S. in Chemical Engineering at the University of Dayton (2011) and his M.S. (2014) and Ph.D. at the University of Michigan (2017). \nMachine Accelerated Nano-targeted Inhomogenous Structures\nThe ability for nanoscale materials to control the propagation of light is well-known\, both in biological systems and synthetic applications. However\, the possible “solution-space” to search for nanoscale designs is near-infinite\, requiring advanced computational techniques to optimize structures for targeted device performance. Here we consider a subset of the infinite design space\, a simple bilayer structure of nanocylinders\, to demonstrate the capabilities of machine learning to accelerate the design process. We compare the performance of human-driven optimization to a genetic algorithm based optimization routine. We also consider potential machine-learning tools to further accelerate the design of these structures. \nThe SC2 is holding a Meet the Speaker lunch at noon. If you would like to attend\, please RSVP here.
URL:https://micde.umich.edu/event/sc2-alumni-seminar-series-eric-harper-nrc-research-associate-afrl/
LOCATION:2540 G.G. Brown (2350 Hayward St.)\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,SC2,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180604T110000
DTEND;TZID=America/Detroit:20180607T170000
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SUMMARY:XSEDE HPC Summer Bootcamp
DESCRIPTION:ARC-TS and the Scientific Computing Student Club are hosting a satellite site for XSEDE hands-on workshops during this summer. These workshops provide a convenient way for researchers to learn about the latest techniques and technologies of current interest in HPC. \nThis 4 day event will include MPI\, OpenMP\, OpenACC and accelerators. \nOfficial registration is done through the XSEDE portal. Please follow this link to read about the workshop (including the full agenda) and to register https://portal.xsede.org/course-calendar/-/training-user/class/611/session/1609 \nNote: you will need to create and XSEDE account if you don’t have one already \n 
URL:https://micde.umich.edu/event/xsede-hpc-summer-bootcamp/
LOCATION:NCRC B16 B003E\, 2800 Plymouth Rd.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,SC2,Workshops
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180322T180000
DTEND;TZID=America/Detroit:20180322T200000
DTSTAMP:20230905T171417Z
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SUMMARY:[SC2] Social After the Symposium
DESCRIPTION:After the MICDE symposium join us at the Ann Arbor Brewing Co. – Tap Room. We will provide the appetizers and non-alcoholic drinks.\nHope to see you there! \nPlease RSVP here
URL:https://micde.umich.edu/event/sc2-social-after-the-symposium/
LOCATION:Arbor Brewing Co – Tap Room\, 114 E Washington St\, Ann Arbor\, MI\, 48104\, United States
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180316T120000
DTEND;TZID=America/Detroit:20180316T133000
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SUMMARY:[SC2 & MICDE] Lunch with alumni: Lois K. Smith
DESCRIPTION:Lois graduated from Michigan in the Fall 2016 with a PhD from the AOSS (now Climate and Space Sciences and Engineering) department and was an MICDE fellow and is Certificate in Computational Discovery & Engineering alumni. Since graduating\, she has been in industry working as a data scientist (iSpot\, Microsoft). She is back on campus and will join the SC2 to talk about her transition to industry and how MICDE and her training in computational sciences helped on the way. \nRSVP please.
URL:https://micde.umich.edu/event/sc2-micde-lunch-with-alumni-lois-k-smith/
LOCATION:1180 Duderstadt Center\, 2281 Bonisteel Blvd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Education,SC2
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171201T180000
DTEND;TZID=America/Detroit:20171201T190000
DTSTAMP:20230905T171416Z
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000114-1512151200-1512154800@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop/2017-12-01/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171124T180000
DTEND;TZID=America/Detroit:20171124T190000
DTSTAMP:20230905T171416Z
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000622-1511546400-1511550000@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-7/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171117T180000
DTEND;TZID=America/Detroit:20171117T190000
DTSTAMP:20230905T171415Z
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000621-1510941600-1510945200@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-2/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171110T180000
DTEND;TZID=America/Detroit:20171110T190000
DTSTAMP:20230905T171415Z
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000620-1510336800-1510340400@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-3/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171103T180000
DTEND;TZID=America/Detroit:20171103T190000
DTSTAMP:20230905T171415Z
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000619-1509732000-1509735600@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-4/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171027T180000
DTEND;TZID=America/Detroit:20171027T190000
DTSTAMP:20230905T171415Z
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000618-1509127200-1509130800@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-5/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171020T180000
DTEND;TZID=America/Detroit:20171020T190000
DTSTAMP:20230905T171415Z
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000617-1508522400-1508526000@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-6/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171013T180000
DTEND;TZID=America/Detroit:20171013T190000
DTSTAMP:20230905T171438Z
CREATED:20230905T171438Z
LAST-MODIFIED:20230905T171438Z
UID:10000616-1507917600-1507921200@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2-8/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171006T180000
DTEND;TZID=America/Detroit:20171006T190000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000615-1507312800-1507316400@micde.umich.edu
SUMMARY:SC2 Machine Learning Collaborative Workshop
DESCRIPTION:Machine Learning (ML) has found it’s way into much of today’s computational landscape and is a powerful tool to extract meaning from the large amounts of data generated by high performance computing. The Scientific Computing Student Club (SC2) has organized this workshop for students\, and all interested individuals\, with the goal of learning existing ML tools that can be easily integrate in research workflow.  Weekly meetings on Fridays @ 6:00 pm\, except November 24\, 2017. More information…
URL:https://micde.umich.edu/event/sc2-machine-learning-collaborative-workshop-2/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20170308T140000
DTEND;TZID=America/Detroit:20170308T150000
DTSTAMP:20230905T171438Z
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SUMMARY:SC2/MICDE Seminar: Eric Jankowski\, Materials Science and Engineering\, Boise State University
DESCRIPTION:Bio: Eric Jankowski is an assistant professor of Materials Science and Engineering at Boise State University. He earned his PhD in Chemical Engineering from the University of Michigan in 2012\, where he developed computational tools to study the self-assembly of nanoparticles. These tools leveraged graphics processors to accelerate computations and provided insight into systems of both theoretical and practical importance. Dr. Jankowski began focusing on renewable energy generation during his postdoctoral positions at the University of Colorado and the National Renewable Energy Laboratory. At these postdocs\, Dr. Jankowski applied techniques he developed during his thesis to understand factors that determine the ordering of molecules in organic solar cells. \nThis is a joint seminar of the Scientific Computing Student Club and MICDE\, sponsored in part by U-M Rackham Graduate School.   \n  \nCobbling together computational components to engineer inexpensive plastic solar panels\nIn order to meet projected global energy demands over the next 25 years\, the equivalent of building a 1GW power plant each day is needed. Existing clean power generation technologies can meet this demand in principle\, but their relatively large short-term costs have limited widespread adoption. In this work we explain manufacturing strategies for organic (plastic) solar panels that overcome economic barriers to adoption by optimizing the structure of the organic active layer responsible for generating electricity. We perform coarse-grained molecular dynamics simulations accelerated with graphics processing units to determine the thermodynamically stable morphologies for a variety of candidate ingredients. Using these morphologies we perform kinetic Monte Carlo charge transport simulations to determine which morphologies are better candidates for solar devices. The simulation pipeline developed here combines computational tools developed for solving unrelated problems\, and we discuss the evolving landscape of scientific computing education and how it overlaps with this work. \n 
URL:https://micde.umich.edu/event/sc2micde-seminar-eric-jankowski-material-science-and-engineering-boise-state-university/
LOCATION:2540 G.G. Brown (2350 Hayward St.)\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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DTSTART;TZID=America/Detroit:20170216T170000
DTEND;TZID=America/Detroit:20170216T180000
DTSTAMP:20230905T171440Z
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
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SUMMARY:[SC2] U-M 3D Lab Tour
DESCRIPTION:The 3D Lab will give a brief tour and presentation of the 3D visualization resources available to students and all researchers at U-M. If you are thinking of registering to the Visualization Challenge\, this is a good opportunity to see many of the 3D options you have to present your data. Space is limited to 20 people: register here
URL:https://micde.umich.edu/event/sc2-u-m-3d-lab-tour/
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DTSTART;TZID=America/Detroit:20170202T163000
DTEND;TZID=America/Detroit:20170202T173000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
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SUMMARY:[SC2] Launch of 2017 Visualization Challenge + Presentation: Simple Data Management with Signac
DESCRIPTION:Simon Adorf (PhD Candidate\, Chem. Eng.) will give a presentation about “Simple Data Management with Signac“. \nABSTRACT: We will give a brief introduction to the signac data management framework for agile computational workflows\, followed by presenting interactive examples using jupyter notebooks hosted online. The signac framework aids in the management of large and heterogeneous data spaces. It provides a simple and robust data model to create a well-defined indexable storage layout for data and metadata. This makes it easier to operate on large data spaces\, streamlines post-processing and analysis and makes data collectively accessible. \nEveryone is encouraged to bring a laptop in order to be able to follow along. \n+ \nThe Scientific Computing Student Club\, partnered with MICDE\, the U-M 3D Lab and NVIDIA\, will officially launch the 2017 NVIDIA Visualization Challenge aimed for students to use the latest visualization tools and technology to show their research data in creative ways. The first prize will include sponsorship to show their work at the Supercomputing ’17 Visualization Showcase\, and more. Join us at the meeting to learn more. \nSponsored by \n 
URL:https://micde.umich.edu/event/sc2-launching-of-2017-visualization-challenge-presentation-simple-data-management-with-signac/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Seminar
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DTSTART;TZID=America/Detroit:20161206T180000
DTEND;TZID=America/Detroit:20161206T190000
DTSTAMP:20230905T171440Z
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
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SUMMARY:[SC2] SCIENTIFIC COMPUTING STUDENT CLUB – ELECTIONS AND Biological Software Team PRESENTATION
DESCRIPTION:We are having elections next Tuesday! Please consider running for a position (all are available) and attending. We will have food and drinks. \nWe will also be having a talk from the Biological Software Team. They compete at the International Genetically Engineered Machine (iGEM) Jamboree with over 300 teams from 54 countries. Last year they won a gold medal\, and the prize for Best Software Project\, and they would like to involve more people and get support in the development of their software for next year’s competition. \nMore information: \n\nLink to Officer Position Interest Form\nInformation about Protocat – Biological Software Team\n\nPlease feel free to contact any of the officers if you have questions about the officer positions\, etc.
URL:https://micde.umich.edu/event/sc2-scientific-computing-student-club-elections-and-biological-software-team-presentation/
LOCATION:1003 EECS\, 1301 Beal Ave.\, Ann Arbor\, 48109\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161025T180000
DTEND;TZID=America/Detroit:20161025T190000
DTSTAMP:20230905T171442Z
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
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SUMMARY:[SC2] DEMO: Visualizations on remote resources
DESCRIPTION:Results of adaptive simulations of a three-dimensional wing undergoing flapping motion in viscous flow. K. Fidkowski (U-M Aerospace) \nOne of the advantages of scientific computing research is the ability to use powerful supercomputers from the convenience of your home computer\, laptop\, tablet\, or even phone! In the next SC2 meeting club members will be demonstrating how you can use these remote resources to run and visualize simulations. Additionally\, we will be demonstrating the “scientific python” stack (Python\, NumPy\, Scipy) to duplicate MATLAB functionality with free\, open source software.
URL:https://micde.umich.edu/event/sc2-demo-visualizations-on-remote-resources/
LOCATION:340 West Hall\, 1085 South University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:SC2
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DTSTART;TZID=America/Detroit:20161011T180000
DTEND;TZID=America/Detroit:20161011T190000
DTSTAMP:20230905T171441Z
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
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SUMMARY:[SC2] High Performance Computing resources available to U-M students
DESCRIPTION:Did you know that U-M has a high capacity\, secure research storage and a free data science cluster? Did you know that XSEDE is a free scientific discovery infrastructure funded by NSF and available to anyone that needs it? In our next SC2 meeting Brock Palen\, Associate Director of Advanced Research Computing-Technology Services\, will join us to talk about these and all the high performance computing (HPC) resources available to U-M graduate and undergraduate students. \nBrock will be available for questions at the end of his presentation. \nPlease join us\, pizza and pop will be provided. \n \n 
URL:https://micde.umich.edu/event/sc2-high-performance-computing-resources-available-to-u-m-students/
LOCATION:1003 EECS\, 1301 Beal Ave.\, Ann Arbor\, 48109\, United States
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DTSTART;TZID=UTC:20160614T110000
DTEND;TZID=UTC:20160617T170000
DTSTAMP:20260401T202001Z
CREATED:20230905T171441Z
LAST-MODIFIED:20260401T202001Z
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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
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