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DTSTART;TZID=America/Detroit:20190401T153000
DTEND;TZID=America/Detroit:20190401T170000
DTSTAMP:20260401T195156Z
CREATED:20230905T171400Z
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SUMMARY:Understanding How the Brain Processes Music Through the Bach Trio Sonatas
DESCRIPTION:This event is open to the public. \nDaniel Forger\, Professor of Mathematics and Computational Medicine and Bioinformatics\nJames Kibbie\, Professor of Music and Chair of the Organ Department\, University Organist\nCaleb Mayer\, Graduate Student Research Assistant (Mathematics)\nSarah Simko\, Graduate Student Research Assistant (Organ Performance) \nWith support from the Data Science for Music Challenge Initiative through MIDAS\, the team is taking a big data approach to understanding the patterns and principles of music. The project is developing and analyzing a library of digitized performances of the Trio Sonatas for organ by Johann Sebastian Bach\, applying novel algorithms to study the music structure from a data science perspective. Organ students from the School of Music\, Theatre & Dance will demonstrate how the Frieze Memorial Organ in Hill Auditorium is used to create big data files of live performances. The team will discuss how its analysis compares different performances to determine features that make performances artistic\, as well as the common mistakes performers make. The digitized performances will be shared with researchers and will enable research and pedagogy in many disciplines\, including data science\, music performance\, mathematics and music psychology.
URL:https://micde.umich.edu/event/understanding-how-the-brain-processes-music-through-the-bach-trio-sonatas/
LOCATION:Hill Auditorium\, 825 N University Ave\, Ann Arbor\, MI 48109\, Ann Arbor\, MI\, 48104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190402T140000
DTEND;TZID=America/Detroit:20190402T160000
DTSTAMP:20230905T171400Z
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
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SUMMARY:Go for data processing 1/2/3
DESCRIPTION:This is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn and use than a high-level scripting language like Python\, but it is strongly typed\, statically compiled\, and provides native support for concurrency\, leading to much better performance for many common tasks.  In this series of workshops\, we introduce Go as a tool for data processing. No prior exposure to Go is expected\, but participants should have some programming background. Free and open source tools for Go are available for all common platforms.   \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional. \nSession 1: March 19\, 2:00pm – 4:00pm \nSession 2: March 26\, 2:00pm – 4:00pm \nSession 3: April 2\, 2:00pm – 4:00pm \nNote: Interested participants only need to register with the 1st session. 
URL:https://micde.umich.edu/event/go-for-data-processing-1-2-3-2-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190403T130000
DTEND;TZID=America/Detroit:20190403T160000
DTSTAMP:20230905T171359Z
CREATED:20230905T171359Z
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SUMMARY:Sliding into Slurm:  An early look at U-M's new high-performance computing environment
DESCRIPTION:This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users.  We will use the temporary Beta HPC cluster to demonstrate how jobs will be submitted and managed under the new Great Lakes\, Armis2\, and Lighthouse clusters available later this year. \nThere are many differences between the familiar Flux environment and that of the new HPC clusters\, including a new batch scheduling system\, a new interactive batch job environment\, a new HPC web portal\, a new module environment\, and a new on-demand-only job accounting system. \nWe will cover these differences in the workshop\, and provide hands-on training in creating and running job submission scripts in the new HPC environment.  Students are expected to be conversant with the Linux command line and have experience in creating\, submitting\, and troubleshooting PBS batch scripts.
URL:https://micde.umich.edu/event/sliding-into-slurm-an-early-look-at-u-ms-new-high-performance-computing-environment-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190404T120000
DTEND;TZID=America/Detroit:20190404T130000
DTSTAMP:20230905T171359Z
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000220-1554379200-1554382800@micde.umich.edu
SUMMARY:MICDE Seminar: Prith Banerjee\, Chief Technology Officer\, ANSYS\, Inc.
DESCRIPTION:Bio: Prith Banerjee is the Chief Technology Officer of ANSYS where he is responsible for leading the evolution of ANSYS’ Technology strategy and champion the company’s next phase of innovation and growth. He also serves on the Board of Directors of Cray\, Inc. and Cubic Corporation. Previously he used to be Senior Client Partner at Korn Ferry where he was responsible for IOT and Digital Transformation in the Global Industrial Practice. Formerly\, he was Executive Vice President\, Chief Technology Officer of Schneider Electric. Previously\, he was Managing Director of Global Technology Research and Development at Accenture. Formerly\, he was Chief Technology Officer and Executive Vice President of ABB. Earlier\, he was Senior Vice President of Research at HP and Director of HP Labs. Formerly\, he was Dean of the College of Engineering at the University of Illinois at Chicago. Formerly\, he was the Walter P. Murphy Professor and Chairman of Electrical and Computer Engineering at Northwestern University. Prior to that\, he was Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. In 2000\, he founded AccelChip\, a developer of products for electronic design automation\, which was acquired by Xilinx Inc. in 2006. During 2005-2011\, he was Founder\, Chairman and Chief Scientist of BINACHIP Inc.\, a developer of products in electronic design automation. He was listed in the FastCompany list of 100 top business leaders in 2009. He is a Fellow of the AAAS\, ACM and IEEE\, and a recipient of the 1996 ASEE Terman Award and the 1987 NSF Presidential Young Investigator Award. He received a B.Tech. in electronics engineering from the Indian Institute of Technology\, Kharagpur\, and an M.S. and Ph.D. in electrical engineering from the University of Illinois\, Urbana. \nFUTURE OF SIMULATION-BASED PRODUCT INNOVATION IN THE DIGITAL WORLD\nDigital transformation refers to the use of digital technologies such as cloud\, IOT\, AI/ML\, to transform the way business is executed. Digital transformation is impacting every industry – automotive\, agriculture\, logistics\, healthcare and manufacturing. In this talk we will discuss how Digital Transformation is disrupting the manufacturing industry. In the past\, engineered products were designed with mechanical and electrical CAD tools\, simulated and validated for correctness with CAE tools\, prototypes were fabricated and tested\, and products were then manufactured at scale in factories. This process required long product cycles often requiring years to build a new product. Today\, one can use unlimited computing and storage available from the cloud to do generative design to explore 10\,000 design choices in near real-time\, verify these products accurately through simulation (eliminating the need to build physical prototypes) and manufacture the products using additive manufacturing and factory automation (Industrie 4.0). In the past\, simulation tools were used to model specific physics such as mechanical structures\, or fluid dynamics\, or electromagnetic interactions by solving second order partial differential equations using numerical methods. Today the simulation tools are being used to solve multi-physics problems (fluid-structure-electromagnetics interactions) at scale using the most complex solvers. These products once built are connected using IOT so that manufacturers have 24/7 connectivity to all these products\, and can monitor how customers are using these product; this helps the manufacturers design future generations of products even faster. The connectivity also allows them to monitor the products for failures using predictive analytics\, and service these products remotely. In this talk I will discuss how the ANSYS Pervasive Simulation Platform allows hardware and software developers to work together in all phases of a product development lifecycle including Ideation\, Design Manufacturing\, and Operations. Simulation tools are increasingly being used in the ideation phase by designers to get real-time simulation of the parts as soon as they are being conceptualized. This has resulted in shorter\, agile product cycles even for hardware products allowing innovative products to be designed and produced in months and days. Companies are increasingly using model-based systems engineering concepts to take high level requirements of products\, and manage the complexity of product design using concepts of Digital Threads\, Digital Twins\, and Digital Continuity. We will touch upon some future directions of simulation-based product innovation around AI/Machine Learning\, Multi-physics Platforms\, Hyperscale Simulation\, and the convergence of the Digital and Physical worlds using IOT and Augmented Reality/Virtual Reality.
URL:https://micde.umich.edu/event/prith-banerjee-ansys/
LOCATION:1005 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/03/Prith-Banerjee.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190409T140000
DTEND;TZID=America/Detroit:20190409T160000
DTSTAMP:20230905T171359Z
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000214-1554818400-1554825600@micde.umich.edu
SUMMARY:Mediation analysis in Python
DESCRIPTION:Mediation analysis is a set of tools for exploring hypotheses about causal pathways\, with a special focus on differentiating “direct” from “mediated” associations between an exposure and an outcome.  Many approaches to mediation analysis are based on regression analysis. \n In this workshop\, we will cover some of the basic ideas behind regression-based mediation analysis\, and show how this type of analysis can be performed in Python using the Statsmodels package. All software tools covered in this workshop are free and open source.
URL:https://micde.umich.edu/event/mediation-analysis-in-python-2/
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190410T080000
DTEND;TZID=America/Detroit:20190410T170000
DTSTAMP:20260612T025831Z
CREATED:20230905T171359Z
LAST-MODIFIED:20260612T025831Z
UID:10000141-1554883200-1554915600@micde.umich.edu
SUMMARY:The 2019 MICDE Symposium
DESCRIPTION:The Michigan Institute for Computational Discovery and Engineering 2019 Symposium will feature eminent scientists from around the world and the U-M campus. \n\n\nSPEAKERS\n\n\n\n\n\n\n\n\n\n\nMarsha Berger\nProfessor\, Computer Science and Mathematics\nNew York University Courant Institute of Mathematical Sciences \n\nMarisa Eisenberg\nAssociate Professor\, Epidemiology and Mathematics\nUniversity of Michigan \n\nCarla Gomes\nProfessor and Director\, Institute for Computational Sustainability\nCornell University \n\nJan Hesthaven\nDean\, School of Basic Sciences\nEPFL\, Switzerland \n\nNecmiye Ozay\nAssistant Professor\, Electrical Engineering and Computer Science\nUniversity of Michigan \n\nStephen Wolfram\nFounder and CEO\, Wolfram Research\nCreator of Mathematica \n\n\n\n\n\n\n\nA poster competition will be held\, open to post-docs and graduate students. \nMore information will be posted here as it becomes available. Also see micde.umich.edu/symposium19[/vc_column_text][/vc_column][/vc_row]
URL:https://micde.umich.edu/event/the-2019-micde-symposium/
LOCATION:Michigan League\, 911 N. University\, Ann Arbor\, MI\, 48104\, United States
CATEGORIES:Featured Events,Seminar
GEO:42.2796269;-83.7374973
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190412T133000
DTEND;TZID=America/Detroit:20190412T170000
DTSTAMP:20230905T171359Z
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000189-1555075800-1555088400@micde.umich.edu
SUMMARY:Open Source GIS and Geometric Network Analysis
DESCRIPTION:This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network\, but the ideas and techniques apply to similar network such as water and electric distribution and gas pipelines. We will primarily use open source tools in R and QGIS\, but will also touch upon the functionalities in ArcGIS. \nYou should know the introductory concepts and tools in GIS and should be familiar with R and QGIS.
URL:https://micde.umich.edu/event/open-source-gis-and-geometric-network-analysis/
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190416T093000
DTEND;TZID=America/Detroit:20190416T120000
DTSTAMP:20230905T171359Z
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000101-1555407000-1555416000@micde.umich.edu
SUMMARY:Web Scraping with Python
DESCRIPTION:This workshop will provide an overview of how to scrape data from html pages and website APIs using Python. This will mostly be accomplished using the requests\, beautifulsoup\, retry modules and the browser developer tools. The workshop is intended for users with basic Python knowledge. Anaconda Python 3.5 will be used.
URL:https://micde.umich.edu/event/web-scraping-with-python-3-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190416T140000
DTEND;TZID=America/Detroit:20190416T160000
DTSTAMP:20230905T171359Z
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000215-1555423200-1555430400@micde.umich.edu
SUMMARY:Statistical analysis with missing data in Python
DESCRIPTION:Missing data arise in many fields of research\, and a large body of statistical tools has been developed to facilitate statistical analysis in the presence of missing data.  Here we focus mainly on multiple imputation\, which is a broadly-applicable approach for working with missing data. We will illustrate through several case studies how multiple imputation allows certain types of missing data to be rigorously accounted for\, while preserving the flexibility to use a variety of familiar statistical tools to account for other aspects of the data.    \nThe analyses presented in this workshop will be performed in Python using the Statsmodels package. All software tools covered in this workshop are free and open source.
URL:https://micde.umich.edu/event/statistical-analysis-with-missing-data-in-python/
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190417T130000
DTEND;TZID=America/Detroit:20190417T160000
DTSTAMP:20230905T171400Z
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000222-1555506000-1555516800@micde.umich.edu
SUMMARY:Sliding into Slurm:  An early look at U-M's new high-performance computing environment
DESCRIPTION:This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users.  We will use the temporary Beta HPC cluster to demonstrate how jobs will be submitted and managed under the new Great Lakes\, Armis2\, and Lighthouse clusters available later this year. \nThere are many differences between the familiar Flux environment and that of the new HPC clusters\, including a new batch scheduling system\, a new interactive batch job environment\, a new HPC web portal\, a new module environment\, and a new on-demand-only job accounting system. \nWe will cover these differences in the workshop\, and provide hands-on training in creating and running job submission scripts in the new HPC environment.  Students are expected to be conversant with the Linux command line and have experience in creating\, submitting\, and troubleshooting PBS batch scripts.
URL:https://micde.umich.edu/event/sliding-into-slurm-an-early-look-at-u-ms-new-high-performance-computing-environment-3/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Data Science,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190417T160000
DTEND;TZID=America/Detroit:20190417T170000
DTSTAMP:20230905T171400Z
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000221-1555516800-1555520400@micde.umich.edu
SUMMARY:MICDE Seminar: Guy A. E. Vandenbosch\, Electrical Engineering\, KU Leuven
DESCRIPTION:Bio: Guy A. E. Vandenbosch is a Professor of Electrical Engineering at the Katholieke Universiteit Leuven in Leuven\, Belgium. He received the M.S. and Ph.D. degrees in Electrical Engineering from KU Leuven in 1985 and 1991\, respectively.\nHe was a research and teaching assistant from 1985 to 1991 with the Telecommunications and Microwaves section of the Katholieke Universiteit Leuven\, where he worked on the modeling of microstrip antennas with the integral equation technique. From 1991 to 1993\, he held a postdoctoral research position\, in 1993 he became a Lecturer\, and since 2005 he’s been a Full Professor at the same university. Guy Vandenbosch has taught or teaches courses on “Electromagnetic Waves”\, “Antennas”\, “Electromagnetic Compatibility”\, “Fundamentals of Communication and Information Theory”\, “Electrical Engineering\, Electronics\, and Electrical Energy”\, and ”Digital Steer- and Measuring Techniques in Physics”. \nProf. Vandenbosch’s research interests are in the area of electromagnetic theory\, computational electromagnetics\, planar antennas and circuits\, nano-electromagnetics\, EM radiation\, EMC\, and bio-electromagnetics. His work has been published in over 300 papers in international journals and has led to over 370 papers at international conferences. He was a member of the Management Committees‘ of the consecutive European COST actions on antennas between 1993 and 2017\, where he was leading the working group on modeling and software for antennas. \nOn a Boundary Integral Equation Approach Modeling the Interaction of Light with Nanostructured Metallic Objects\nComputational Electromagnetics (CEM) is the technology modeling the interaction of electromagnetic waves (EM waves) with physical objects and their surroundings. This technology has been demonstrated to be a key element in the design of\, e.g.\, modern antennas\, waveguiding/shaping devices\, etc..It has been playing a pivotal role in forging modern communication systems\, and therefore was\, is and will be greatly impacting peoples’ daily life. However\, despite of all these successes\, very recent experiments on the interaction of light (EM waves at optical frequencies) with deep-nanoscale metallic structures suggest the need of a paradigm shift in the classic CEM algorithms\, where a more refined material model is required. As the very first step in this direction\, we combine the dynamics of classical EM waves with the semi-classical hydrodynamic motion of free electrons in metals. The problem is formulated in the framework of Boundary Integral Equations (BIEs) and subsequently solved by the Method of Moments (MoM) algorithm. This research contributes to potentially bridging the computational gap between the classical macroscopic world and the quantum mechanical microscopic world\, and provides an essential tool for chemists and physicists to understand new physics in the nanoscopic world. \nProf. Vandenbosch is being hosted by Prof. Michielssen (Electrical Engineering). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. If you are a student or postdoc and would like to join him for lunch on Thurs.\, April 18\, please RSVP here by April 16.
URL:https://micde.umich.edu/event/win2019-vandenbosch-kuleuven/
LOCATION:1008 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190423T140000
DTEND;TZID=America/Detroit:20190423T160000
DTSTAMP:20230905T171400Z
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000216-1556028000-1556035200@micde.umich.edu
SUMMARY:Hands-on session with Python Statsmodels
DESCRIPTION:This semester\, a series of seven workshops was offered by CSCAR illustrating various approaches to statistical analysis using the Python Statsmodels package.  In this session\, we will provide an open forum for people to get hands-on assistance in this environment. Several data sets and suggested analysis goals will be provided\, but participants are also welcome to come with their own data.    \nAttendance at previous workshops in this series is not required. The room for this meeting will not have computers\, so participants must bring their own laptop. If desired\, the instructor can assist with installation of the relevant packages (all of which are free and open source).
URL:https://micde.umich.edu/event/hands-on-session-with-python-statsmodels/
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190425T130000
DTEND;TZID=America/Detroit:20190425T160000
DTSTAMP:20230905T171400Z
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000223-1556197200-1556208000@micde.umich.edu
SUMMARY:Sliding into Slurm:  An early look at U-M's new high-performance computing environment
DESCRIPTION:This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users.  We will use the temporary Beta HPC cluster to demonstrate how jobs will be submitted and managed under the new Great Lakes\, Armis2\, and Lighthouse clusters available later this year. \nThere are many differences between the familiar Flux environment and that of the new HPC clusters\, including a new batch scheduling system\, a new interactive batch job environment\, a new HPC web portal\, a new module environment\, and a new on-demand-only job accounting system. \nWe will cover these differences in the workshop\, and provide hands-on training in creating and running job submission scripts in the new HPC environment.  Students are expected to be conversant with the Linux command line and have experience in creating\, submitting\, and troubleshooting PBS batch scripts.
URL:https://micde.umich.edu/event/sliding-into-slurm-an-early-look-at-u-ms-new-high-performance-computing-environment-4/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Data Science,High Performance Computing,Workshops
END:VEVENT
END:VCALENDAR