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CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000120-1520607600-1520611200@micde.umich.edu
SUMMARY:MICDE Seminar: Michael Shelley\, Courant Institute\, New York University
DESCRIPTION:Bio: Michael J. Shelley is an American applied mathematician who works on the modeling and simulation of complex systems arising in physics and biology. He holds a BA in Mathematics from the University of Colorado (1981) and a PhD in Applied Mathematics from the University of Arizona (1985). He was a postdoctoral researcher at Princeton University\, and then joined the faculty of mathematics at the University of Chicago. In 1992 he joined the Courant Institute of Mathematical Sciences at New York University where he is the George and Lilian Lyttle Professor of Applied Mathematics. He is also a Professor of Neuroscience (NYU) and Professor of Mechanical Engineering (NYU-Poly). \nProfessor Shelley’s work includes free-boundary problems in fluids and materials science\, singularity formation in partial differential equations\, modeling visual perception in the primary visual cortex\, dynamics of complex and active fluids\, cellular biophysics\, and fluid-structure interaction problems such as the flapping of flags\, stream-lining in nature\, and flapping flight. He is also the co-founder and co-director of the Courant Institute’s Applied Mathematics Lab. \nSource https://en.wikipedia.org/wiki/Michael_Shelley_(mathematician) \nModeling and Simulating Active Mechanics in the Cell\nMany fundamental phenomena in eukaryotic cells — nuclear migration\, spindle positioning\, chromosome segregation — involve the interaction of (often transitory) cellular structures with boundaries and fluids. Understanding the consequences of these interactions require specialized numerical methods for their large-scale simulation\, as well as mathematical modeling and analysis. In this context\, I will discuss the recent interactions of mathematical modeling and large-scale\, detailed simulations with experimental measurements of activity-driven Biomechanical processes within the cell.
URL:https://micde.umich.edu/event/micde-seminar-michael-shelley-courant-institute-new-york-university/
LOCATION:1084 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/2018/01/Michael-J.-Shelley.png
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180306T130000
DTEND;TZID=America/Detroit:20180306T160000
DTSTAMP:20260606T183651
CREATED:20230905T171418Z
LAST-MODIFIED:20260522T153159Z
UID:10000005-1520341200-1520352000@micde.umich.edu
SUMMARY:Introduction to the Flux cluster and batch computing
DESCRIPTION:Overview\nThis workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler\, creating submissions scripts to run jobs and the options available in them\, and hands-on experience. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories. \nPrerequisites\nObtain a user account on Flux. If you do not have a Flux user account\, click here to go to the account application page at: https://arc-ts.umich.edu/fluxform/ \nRegister for Duo authentication. See below for details. \nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them. \n \nInstructor\nBennet Fauber\nScientific Applications Analyst\nAdvanced Research Computing — Technology Services \nBennet Fauber is a member of the technical team that administers the Flux cluster. \nMaterials\nIn-class handouts\n\nOutput from qstat\nOutput from checkjob\nOutput from mdiag\nOutput from showq\n\nSupplementary materials\n\nFlux in Ten Easy Steps\nUsing PBS\nUsing software modules\nLinking libraries with applications\nEstablishing and managing a Flux project allocation\n\n\nCourse Preparation\nIn order to participate successfully in the workshop exercises\, you must have a Flux user account and be registered for the Duo authentication service. The user account allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare Flux jobs for submission. Information about registering for Duo is at the ITS Two Factor Authentication web page. \nFlux user account\nA single Flux user account can be used to prepare and submit jobs using various allocations. If you already already possess a user account\, you can use it for this course\, you can skip to “Flux allocation” below. If not\, please visit https://arc-ts.umich.edu/fluxform to obtain one. A user account is free to members of the University community. Please note that obtaining an account requires human processing\, so be sure to do this at least two business days before class begins. \nFlux allocation\nWe create an allocation for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop allocation is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Flux allocation\, you can use that\, though if there are any issues with that allocation\, we will ask you to use the workshop allocation. \nLaptop Preparation\nThe classroom contains Windows computers\, which require your uniqname and UMICH password to login\, and which have all necessary software preloaded. \nIf you want to use a laptop for the course\, you are welcome to do so. However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We will try to help resolve issues after the workshop. \nIf you want to try to prepare your laptop for use in the class\, please see our web page on Preparing your laptop to use Flux. If you have a Windows computer\, we recommend that you install PuTTY/WinSCP from the Blue Disc web site. Macintosh computers typically have the minimum requirements installed as part of the system. \nMore help\nPlease use our class mailing list hpc101course@umich.edu for questions\, comments\, or to seek further assistance.
URL:https://micde.umich.edu/event/introduction-to-the-flux-cluster-and-batch-computing-5-3/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180223T130000
DTEND;TZID=America/Detroit:20180223T170000
DTSTAMP:20260606T183651
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000035-1519390800-1519405200@micde.umich.edu
SUMMARY:Advanced batch computing on the Flux cluster
DESCRIPTION:Overview\nThis course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic use of Flux; dependent and array scheduling; advanced troubleshooting and analysis using checkjob\, qstat\, and other tools; and parallel debugging and profiling of C and Fortran code\, including logging\, gdb (line-oriented debugging)\, ddt (GUI-based debugging) and map (GUI-based profiling) of MPI and OpenMP programs. We will issue you a temporary allocation to use for the course\, or you can use your existing Flux allocations\, if any. \nPrerequisites\nIntroduction to Batch Computing on Flux or equivalent. This course assumes familiarity with the Linux command line\, text editing on Linux\, and a basic understanding of Flux including how to submit and track jobs. \n \nInstructors\nDr. Charles J Antonelli\nAdvocacy and Research Support\nLSA Information Technology \nCharles is a High Performance Computing Consultant in the Advocacy and Research Support Group of LSAIT at the University of Michigan\, where he is responsible for high performance computing support and education\, and is an advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nMark Champe\nAdvocacy and Research Support\nLSA Information Technology \nMaterials\n\nLecture Notes (updated Feb. 2018)\nMPI Profiling with Allinea MAP\nFlux in Ten Easy Steps\nUsing PBS\nFlux configuration\n\n\nCourse Preparation\nIn order to participate successfully in the workshop exercises\, you must have a Flux user account\, a Flux allocation (one is created for each workshop)\, and be enrolled in Duo. The user account allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare Flux jobs for submission. The allocation allows you to submit those jobs\, executing those applications in parallel on the cluster and charging their resource use against the allocation. Duo is required to help authenticate you to the cluster. \n\nFlux user account\nA single Flux user account can be used to prepare and submit jobs using various allocations. If you already already possess a user account\, you can use it for this course\, you can skip to “Flux allocation” below. If not\, please visit https://arc-ts.umich.edu/fluxform to obtain one. A user account is free to members of the University community. Please note that obtaining an account requires human processing\, so be sure to do this at least two business days before class begins. \n\nFlux allocation\nWe create an allocation for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop allocation is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Flux allocation\, you can use that\, though if there are any issues with that allocation\, we will ask you to use the workshop allocation. \n\nDuo Authentication\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH password as well as authenticate through Duo in order to access Flux. \nIf you need to enroll in Duo\, follow the instructions at Getting Started: How to Enroll in Duo. \nPlease enroll in Duo before you come to class. \n\nLaptop Preparation\nYou do not need to bring your own laptop to class. The classroom contains Windows computers\, which require your uniqname and UMICH password to login\, and that have all necessary software pre-loaded. \nIf you want to use a laptop for the course\, you are welcome to do so:  please see our web page on Preparing your laptop to use Flux. However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class. \nMore help\nPlease use our class mailing list hpc201course@umich.edu for questions\, comments\, or to seek further assistance.
URL:https://micde.umich.edu/event/advanced-batch-computing-on-the-flux-cluster-5-3/
LOCATION:East Hall B250\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180222T130000
DTEND;TZID=America/Detroit:20180222T170000
DTSTAMP:20260606T183651
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000034-1519304400-1519318800@micde.umich.edu
SUMMARY:Hadoop and Spark Workshop
DESCRIPTION:Overview\nLearn how to process large amounts (up to terabytes) of data using SQL and/or simple programming models available in Python\, R\, Scala\, and Java. Computers will be provided to follow along with hands-on examples; users can also bring laptops. \nPrerequisites\nIntro to the Linux Command Line or equivalent. This course assumes familiarity with the Linux command line. \nA user account on Flux. If you do not have a Flux user account\, click here to go to the account application page at: https://arc-ts.umich.edu/fluxform/ \nDuo authentication. \nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH password as well as authenticate through Duo in order to access Flux. \nIf you need to enroll in Duo\, follow the instructions at Getting Started: How to Enroll in Duo. \n \nInstructor\nBrock Palen\nDirector\nARC-TS \nBrock has over 10 years of high performance computing and data intensive computing experience in an academic environment. He currently works with the team at ARC-TS to provide HPC\, Data Science\, storage\, and other research computing services to the University. Brock also is the NSF XSEDE projects Campus Champion representing the schools to this and other national computing infrastructures and organizations. \nMaterials\n\nThe presentation is at https://umarcts.bitbucket.io/presentations/hadoop/#/title (Visit our Version Control page for information on using Bit Bucket)\n\nCourse Preparation\nIn order to participate successfully in the class exercises\, you must have a Flux user account. The user account allows you to log in to the cluster\, create\, compile\, and test applications\, and transfer data into Hadoop’s filesystem for processing. \nFlux user account\nA single Flux user account can be used to prepare and submit jobs using various allocations. If you already already possess a user account\, you can use it for this course\, you can skip to “Flux allocation” below. If not\, please visit https://arc-ts.umich.edu/fluxform to obtain one. A user account is free to members of the University community. Please note that obtaining an account requires human processing\, so be sure to do this at least two business days before class begins. \nDuo Authentication\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH password as well as authenticate through Duo in order to access Flux. \nIf you need to enroll in Duo\, follow the instructions at Getting Started: How to Enroll in Duo. \nMore help\nPlease email hpc-support@umich.edu for questions\, comments\, or to seek further assistance.
URL:https://micde.umich.edu/event/hadoop-workshop-2/
LOCATION:East Hall B250\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B250 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180221T130000
DTEND;TZID=America/Detroit:20180221T170000
DTSTAMP:20260606T183651
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000033-1519218000-1519232400@micde.umich.edu
SUMMARY:Advanced batch computing on the Flux cluster
DESCRIPTION:Overview\nThis course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic use of Flux; dependent and array scheduling; advanced troubleshooting and analysis using checkjob\, qstat\, and other tools; and parallel debugging and profiling of C and Fortran code\, including logging\, gdb (line-oriented debugging)\, ddt (GUI-based debugging) and map (GUI-based profiling) of MPI and OpenMP programs. We will issue you a temporary allocation to use for the course\, or you can use your existing Flux allocations\, if any. \nPrerequisites\nIntroduction to Batch Computing on Flux or equivalent. This course assumes familiarity with the Linux command line\, text editing on Linux\, and a basic understanding of Flux including how to submit and track jobs. \n \nInstructors\nDr. Charles J Antonelli\nAdvocacy and Research Support\nLSA Information Technology \nCharles is a High Performance Computing Consultant in the Advocacy and Research Support Group of LSAIT at the University of Michigan\, where he is responsible for high performance computing support and education\, and is an advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nMark Champe\nAdvocacy and Research Support\nLSA Information Technology \nMaterials\n\nLecture Notes (updated Feb. 2018)\nMPI Profiling with Allinea MAP\nFlux in Ten Easy Steps\nUsing PBS\nFlux configuration\n\n\nCourse Preparation\nIn order to participate successfully in the workshop exercises\, you must have a Flux user account\, a Flux allocation (one is created for each workshop)\, and be enrolled in Duo. The user account allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare Flux jobs for submission. The allocation allows you to submit those jobs\, executing those applications in parallel on the cluster and charging their resource use against the allocation. Duo is required to help authenticate you to the cluster. \n\nFlux user account\nA single Flux user account can be used to prepare and submit jobs using various allocations. If you already already possess a user account\, you can use it for this course\, you can skip to “Flux allocation” below. If not\, please visit https://arc-ts.umich.edu/fluxform to obtain one. A user account is free to members of the University community. Please note that obtaining an account requires human processing\, so be sure to do this at least two business days before class begins. \n\nFlux allocation\nWe create an allocation for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop allocation is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Flux allocation\, you can use that\, though if there are any issues with that allocation\, we will ask you to use the workshop allocation. \n\nDuo Authentication\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH password as well as authenticate through Duo in order to access Flux. \nIf you need to enroll in Duo\, follow the instructions at Getting Started: How to Enroll in Duo. \nPlease enroll in Duo before you come to class. \n\nLaptop Preparation\nYou do not need to bring your own laptop to class. The classroom contains Windows computers\, which require your uniqname and UMICH password to login\, and that have all necessary software pre-loaded. \nIf you want to use a laptop for the course\, you are welcome to do so:  please see our web page on Preparing your laptop to use Flux. However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class. \nMore help\nPlease use our class mailing list hpc201course@umich.edu for questions\, comments\, or to seek further assistance.
URL:https://micde.umich.edu/event/advanced-batch-computing-on-the-flux-cluster-5-2/
LOCATION:East Hall B250\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180220T140000
DTEND;TZID=America/Detroit:20180220T150000
DTSTAMP:20260606T183651
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000099-1519135200-1519138800@micde.umich.edu
SUMMARY:MICDE Seminar: Heather Mayes\, Chemical Engineering\, University of Michigan
DESCRIPTION:Bio: Heather Mayes is an Assistant Professor in the Department of Chemical Engineering. Her research group uses multi-scale modeling to discover protein-sugar interactions and to harness them for renewable energy and improved health. The study of carbohydrate-protein interactions is an important step to create renewable fuels and chemicals from non-food biomass\, and the results can be applied to several human diseases\, including cancer and autoimmune disorders. Prof. Mayes uses computational tools in her research\, including quantum mechanics\, molecular dynamics\, and rare-event sampling methods. She collaborates with experimental groups to understand past and guide future wet-lab studies to advance renewable chemicals and fuels\, as well as disease understanding. \nSimulating Protein-Carbohydrate Interactions to Bridge the Gap Between Human Chemical Intuition and Molecular Biophysics\nIn complex reacting systems\, it can be exceedingly difficult\, or even impossible\, to tease out elementary reaction mechanisms from wet-lab data alone\, due to data convolution resulting from the multiple reacting steps and competing reactions that simultaneously occur. The systems that the Mayes group studies (multiple types of protein-carbohydrate interactions) certainly fall into this category\, with understanding further hindered by the conformational\, stereochemical\, and regiochemical degrees of freedom key to chemical reactions in these systems. Yet\, understanding these elementary mechanisms would not only help answer fundamental questions in biology\, but also improve our ability to harness these systems for applications from renewable energy to pharmaceutical interventions. I will discuss several systems that we are studying\, and focus on our investigations of how enzymes break down plant biomass. I will share how our computational research rationalizes non-intuitive wet-lab observations by revealing mechanisms that do not conform to human intuition. In doing so\, we gather lessons from how nature has evolved efficient enzymes that we can then apply to rational enzyme design.
URL:https://micde.umich.edu/event/micde-seminar-heather-mayes-chemical-engineering-university-of-michigan/
LOCATION:NCRC10 ACR2\, 2800 Plymouth Rd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2017/09/Heather-Mayes.png
GEO:42.3016367;-83.7054664
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180219T130000
DTEND;TZID=America/Detroit:20180219T160000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20260522T142511Z
UID:10000004-1519045200-1519056000@micde.umich.edu
SUMMARY:Introduction to the Flux cluster and batch computing
DESCRIPTION:Overview\nThis workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler\, creating submissions scripts to run jobs and the options available in them\, and hands-on experience. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories. \nPrerequisites\nObtain a user account on Flux. If you do not have a Flux user account\, click here to go to the account application page at: https://arc-ts.umich.edu/fluxform/ \nRegister for Duo authentication. See below for details. \nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them. \n \nInstructor\nBennet Fauber\nScientific Applications Analyst\nAdvanced Research Computing — Technology Services \nBennet Fauber is a member of the technical team that administers the Flux cluster. \nMaterials\nIn-class handouts\n\nOutput from qstat\nOutput from checkjob\nOutput from mdiag\nOutput from showq\n\nSupplementary materials\n\nFlux in Ten Easy Steps\nUsing PBS\nUsing software modules\nLinking libraries with applications\nEstablishing and managing a Flux project allocation\n\n\nCourse Preparation\nIn order to participate successfully in the workshop exercises\, you must have a Flux user account and be registered for the Duo authentication service. The user account allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare Flux jobs for submission. Information about registering for Duo is at the ITS Two Factor Authentication web page. \nFlux user account\nA single Flux user account can be used to prepare and submit jobs using various allocations. If you already already possess a user account\, you can use it for this course\, you can skip to “Flux allocation” below. If not\, please visit https://arc-ts.umich.edu/fluxform to obtain one. A user account is free to members of the University community. Please note that obtaining an account requires human processing\, so be sure to do this at least two business days before class begins. \nFlux allocation\nWe create an allocation for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop allocation is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Flux allocation\, you can use that\, though if there are any issues with that allocation\, we will ask you to use the workshop allocation. \nLaptop Preparation\nThe classroom contains Windows computers\, which require your uniqname and UMICH password to login\, and which have all necessary software preloaded. \nIf you want to use a laptop for the course\, you are welcome to do so. However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We will try to help resolve issues after the workshop. \nIf you want to try to prepare your laptop for use in the class\, please see our web page on Preparing your laptop to use Flux. If you have a Windows computer\, we recommend that you install PuTTY/WinSCP from the Blue Disc web site. Macintosh computers typically have the minimum requirements installed as part of the system. \nMore help\nPlease use our class mailing list hpc101course@umich.edu for questions\, comments\, or to seek further assistance.
URL:https://micde.umich.edu/event/introduction-to-the-flux-cluster-and-batch-computing-5-2/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180216T090000
DTEND;TZID=America/Detroit:20180216T120000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000058-1518771600-1518782400@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \n \nInstructor\nKenneth Weiss\nIT Project Senior Manager\nMedical School Information Services (MSIS) \nKen is a High Performance Computing Consultant in the Computational Research Consulting Division of MSIS at the University of Michigan. He works with a team of IT specialists to provide high performance computing support and training for the Medical School. Prior to this\, he spent 21 years managing research computing\, including an HPC cluster\, for Dr. Charles Sing in the Human Genetics Department. \nMaterials\n\nLecture Notes (updated Sept. 21\, 2017)\nReference text: William E Shotts\, Jr.\, “The Linux Command Line: A Complete Introduction\,” No Starch Press\, January 2012 .http://linuxcommand.org/tlcl.php\nDownload Creative Commons Licensed version at http://downloads.sourceforge.net/project/linuxcommand/TLCL/13.07/TLCL-13.07.pdf\n\n\nCourse Preparation\nYou must register at least three full days prior to the event so that we have time to insure you have proper UM credentials for the workshop. This allows enough time for you to get your account adjusted by ITS in case you do not have access to the Linux systems.
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-2-3/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180213T130000
DTEND;TZID=America/Detroit:20180213T160000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000057-1518526800-1518537600@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \n \nInstructor\nKenneth Weiss\nIT Project Senior Manager\nMedical School Information Services (MSIS) \nKen is a High Performance Computing Consultant in the Computational Research Consulting Division of MSIS at the University of Michigan. He works with a team of IT specialists to provide high performance computing support and training for the Medical School. Prior to this\, he spent 21 years managing research computing\, including an HPC cluster\, for Dr. Charles Sing in the Human Genetics Department. \nMaterials\n\nLecture Notes (updated Sept. 21\, 2017)\nReference text: William E Shotts\, Jr.\, “The Linux Command Line: A Complete Introduction\,” No Starch Press\, January 2012 .http://linuxcommand.org/tlcl.php\nDownload Creative Commons Licensed version at http://downloads.sourceforge.net/project/linuxcommand/TLCL/13.07/TLCL-13.07.pdf\n\n\nCourse Preparation\nYou must register at least three full days prior to the event so that we have time to insure you have proper UM credentials for the workshop. This allows enough time for you to get your account adjusted by ITS in case you do not have access to the Linux systems.
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-2-2/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180208T140000
DTEND;TZID=America/Detroit:20180208T150000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000097-1518098400-1518102000@micde.umich.edu
SUMMARY:MICDE Seminar: Dominika Zgid\, Chemistry\, University of Michigan
DESCRIPTION:Bio: Dominika Zgid is an assistant professor of Chemistry at the University of Michigan. She received her Ph.D. from the University of Waterloo\, Canada\, in 2008. Since starting at Michigan\, she has received a DOE Early Career Award in 2013 and an NSF Career Award in 2015. \nHer main interests are at the interface of theoretical chemistry and condensed matter physics with a major focus on designing new\, systematically improvable and controlled computational methods that can be used to study strongly correlated molecules and materials. She has worked on a variety of topics\, such as a molecular version of density matrix renormalization group\, solvers for dynamical mean field theory using explicit bath formulation\, conserving Green’s function methods for weakly correlated systems and the development of the self-energy embedding theory. \nTowards Accurate Quantum-Mechanical Calculations beyond Density Functional Theory on Large Systems\nWe present a detailed discussion of self-energy embedding theory (SEET) which is a quantum embedding scheme allowing us to describe a chosen subsystem very accurately while keeping the description of the environment at a lower cost. We apply SEET to molecular examples where commonly our chosen subsystem is made out of a set of strongly correlated orbitals while the weakly correlated orbitals constitute an environment. Such a self-energy separation is very general and to make this procedure applicable to multiple systems a detailed and practical procedure for the evaluation of the system and environment self-energy is necessary. We list all the intricacies for one of the possible procedures while focusing our discussion on many practical implementation aspects such as the choice of best orbital basis\, impurity solver\, and many steps necessary to reach chemical accuracy. \nFinally\, on a set of carefully chosen molecular examples\, we demonstrate that SEET\, which is a controlled\, systematically improvable Green’s function method can be as accurate as established wavefunction quantum chemistry methods.
URL:https://micde.umich.edu/event/micde-seminar-dominika-zgid-chemistry-university-of-michigan/
LOCATION:CHEM 1706\, 930 N University\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2017/09/Dominika-Zgid.png
GEO:42.2780546;-83.7366011
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=CHEM 1706 930 N University Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=930 N University:geo:-83.7366011,42.2780546
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180126T140000
DTEND;TZID=America/Detroit:20180126T170000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000122-1516975200-1516986000@micde.umich.edu
SUMMARY:Introduction to MATLAB
DESCRIPTION:This workshop introduces participants to MATLAB. Topics include indexing and slicing of vectors and matrices\, creation of script M-files and functions\, control flow operators and basic 2D and 3D visualization. The workshop is targeted to participants with little to no knowledge of MATLAB and/or participants that would like to review basic MATLAB concepts.
URL:https://micde.umich.edu/event/introduction-to-matlab-4-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180126T140000
DTEND;TZID=America/Detroit:20180126T170000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000100-1516975200-1516986000@micde.umich.edu
SUMMARY:Introductory GIS
DESCRIPTION:This workshop will cover introductory GIS concepts\, tools\, and techniques. We will use ArcGIS to learn basics of GIS by solving 2-3 specific problems. We will use the graphical user interface of ArcGIS and no programming experience is required for this workshop. The workshop will also cover the basics of projections and spatial data. \nThe workshop is meant for students and researchers who want to have a quick and simple exposure to GIS concepts and tools.
URL:https://micde.umich.edu/event/introductory-gis-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
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:20180125T163000
DTEND;TZID=America/Detroit:20180125T173000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000130-1516897800-1516901400@micde.umich.edu
SUMMARY:Graduate programs in computational science — INFO SESSIONS
DESCRIPTION:Students interested in computational science are invited to learn about graduate programs that will prepare them for success in computationally intensive fields. Pizza and pop will be provided. \nTwo sessions are scheduled:\n\nMonday\, Jan. 22\, 4:30 – 5:30 p.m.\, Johnson Rooms\, Lurie Engineering Center (North Campus)\nThursday\, Jan. 25\, 4:30 – 5:30 p.m.\, 2001 LSA Building (Central Campus)\n\nThe sessions will address:\n\n\nThe Ph.D. in Scientific Computing\, which is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.” \n\n\nThe Graduate Certificate in Computational Discovery and Engineering\, which trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan. The practicum option for Master’s students through the Multidisciplinary Design Program will be explained.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus-3/
LOCATION:MI
CATEGORIES:Featured Events
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180125T090000
DTEND;TZID=America/Detroit:20180125T163000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000074-1516870800-1516897800@micde.umich.edu
SUMMARY:Stata 1: Introduction to Stata
DESCRIPTION:Note: Topics are subject to change. \nTopics: \n\nBasics – Interfacing with Stata\, Do-files\, getting help.\nWorking with Data Sets – Importing\, opening\, and saving data files.\nData Management – Getting familiar with your data\, adding informative labels\, basic checks for issues.\nData Manipulation – Generating new variables\, working with subsets of data\, merging files\, reshaping files.\nProgramming – A basic and gentle introduction to some of the more advanced Stata programming.\nNote: This workshop does not cover any statistical modeling; see Stata 2: Statistical Modeling in Stata for those topics.\n\nTo register for CSCAR Workshops\, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM 6-digit department shortcode: \nOFFICE HOURS\n9:00 a.m. – 5:00 p.m.\, Monday through Friday\nClosed 12pm – 1:00 p.m. every Tuesday for staff meeting.\nVoice: (734) 764-7828 (4-STAT from a campus phone)\nFax: (734) 647-2440 \nADDRESS\nConsulting for Statistics\, Computing and Analytics Research (CSCAR)\nThe University of Michigan\n3550 Rackham\n915 E. Washington St.\nAnn Arbor\, MI 48109-1070
URL:https://micde.umich.edu/event/introduction-to-stata-3/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180124T150000
DTEND;TZID=America/Detroit:20180124T160000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20260525T001342Z
UID:10000104-1516806000-1516809600@micde.umich.edu
SUMMARY:MICDE Seminar: Jesse Capecelatro\, Department of Mechanical Engineering\, University of Michigan
DESCRIPTION:Bio: Professor Capecelatro is interested in developing large-scale simulation capabilities for prediction and design of the complex multi-physics and multiphase flows relevant to energy and the environment. To achieve this\, his group develops robust and scalable numerical methods to leverage world-class supercomputing resources. His current research projects are focused on adjoint-based methods applied to turbulent combustion\, modeling strongly-coupled particle-laden flows\, and understanding interactions between electrostatics and turbulence in atmospheric clouds. \nPrior to joining the mechanical engineering department at the University of Michigan in 2016\, Dr. Capecelatro was a research scientist at the Center for Exascale Simulation of Plasma-coupled Combustion (XPACC) at the University of Illinois Urbana-Champaign. He received a B.S. in mechanical engineering from SUNY Binghamton in 2009\, and two years later completed a M.S. in mechanical engineering from the University of Colorado Boulder\, where he performed research in collaboration with the National Renewable Energy Laboratory on numerical modeling of fluidized bed reactors. In 2014 he received a Ph.D. from Cornell University under the guidance of Prof Olivier Desjardins\, where his thesis focused on high performance computing of turbulent multiphase flows. He spent the summer following his Ph.D. as a visiting postdoc at the Institut de Mécanique des Fluides de Toulouse and École Centrale Paris focusing on fundamental and numerical studies of particle-induced turbulence. \nTowards Accurate and Tractable Methods of Disperse Multiphase Flows in Extreme Environments\nThe complex and multiscale behavior associated with turbulent flows is further complicated by the presence of a disperse phase (i.e.\, solid particles\, liquid drops\, or gaseous bubbles). Strong coupling between the disperse phase and underlying turbulence plays important roles across engineering and science. For example\, liquid sprays are often used during rocket launches to suppress undesirable aeroacoustic loading on the fuselage and nearby equipment. Recent experiments have shown that water sound suppression systems might also be a viable option for jet noise reduction during take-off and landing of high-performance aircrafts. Within the energy sector\, turbulent suspensions of catalytic particles are used in a variety of energy conversion technologies\, yet the multiphase dynamics occurring in these reactors remain largely unknown. A key challenge in understanding and predicting turbulent multiphase flows is the fundamental importance of processes occurring on extremely small scales that ultimately influence the macroscopic behavior. This presentation will provide an overview of recent advancements in numerical modeling of particle-laden flows with several applications of ongoing research projects.
URL:https://micde.umich.edu/event/micde-seminar-jesse-capecelatro-department-of-mechanical-engineering-university-of-michigan/
LOCATION:185 EWR\, 1351 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/2017/09/Jesse-Capecelatro.png
GEO:42.2927609;-83.7132928
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=185 EWR 1351 Beal Ave Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=1351 Beal Ave:geo:-83.7132928,42.2927609
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180123T100000
DTEND;TZID=America/Detroit:20180123T150000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000123-1516701600-1516719600@micde.umich.edu
SUMMARY:Android Application Development: Why and How
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. As of 2017\, Google has stated that over 2 billion devices around the world use the Android operating system\, alongside Apple’s 1 billion iOS mobile devices around the globe. The capabilities and adopted use of modern smartphones can provide an easy gateway to collect data or engage with participants for research purposes. It might seem a daunting task for newcomers to write a program for the computer in their pocket\, but modern tools and software make it more accessible than ever. We will present a brief overview of the differences between Android and iOS development requirements\, and provide demonstrations on how to program an app for your Android phone using a Windows PC environment and a sample of free software packages. \nA familiarity with programming languages and logic is assumed. Program code presented during the workshop may be written in languages including (but not limited to) Java and C#\, familiarity with syntax of these languages is recommended. It is not expected for attendees to program during the workshop\, but those who wish to do so are recommended to install the “Android Studio” IDE in advance.
URL:https://micde.umich.edu/event/android-application-development-why-and-how/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Data Science,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:20180122T163000
DTEND;TZID=America/Detroit:20180122T173000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000121-1516638600-1516642200@micde.umich.edu
SUMMARY:Graduate programs in computational science — INFO SESSIONS
DESCRIPTION:Students interested in computational science are invited to learn about graduate programs that will prepare them for success in computationally intensive fields. Pizza and pop will be provided. \nTwo sessions are scheduled:\n\nMonday\, Jan. 22\, 4:30 – 5:30 p.m.\, Johnson Rooms\, Lurie Engineering Center (North Campus)\nThursday\, Jan. 25\, 4:30 – 5:30 p.m.\, 2001 LSA Building (Central Campus)\n\nThe sessions will address:\n\n\nThe Ph.D. in Scientific Computing\, which is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.” \n\n\nThe Graduate Certificate in Computational Discovery and Engineering\, which trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan. The practicum option for Master’s students through the Multidisciplinary Design Program will be explained.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-3/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/2016-06-14-11.13.52-scaled.jpg
GEO:42.2914823;-83.7138452
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Johnson Rooms Lurie Engineering Center 3rd Floor LEC 3213ABC 1221 Beal Ave. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1221 Beal Ave.:geo:-83.7138452,42.2914823
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180119T140000
DTEND;TZID=America/Detroit:20180119T163000
DTSTAMP:20260606T183651
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000124-1516370400-1516379400@micde.umich.edu
SUMMARY:Regular Expressions II
DESCRIPTION: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 be found in a variety of programming languages and software like ArcGIS\, Java\, Javascript\, Matlab\, Perl\, PHP\, Python\, R\, Visual Basic\, etc. and some text editors. This workshop is part II of a two-part series and will cover more advanced topics like captured groups\, backreferences and assertions. The workshop will consist of hands-on example problems. Basic understanding of regular expressions is required. You should be able to understand expressions like “w{3\,}-d{1\,2}-d{4}“ and “des*ert?s?”. The tutorials will be conducted using Python. A basic programming background is helpful but not required for this workshop.
URL:https://micde.umich.edu/event/regular-expressions-ii/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Data Science,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180118T090000
DTEND;TZID=America/Detroit:20180118T163000
DTSTAMP:20260606T183651
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000032-1516266000-1516293000@micde.umich.edu
SUMMARY:SPSS I Introduction to SPSS
DESCRIPTION:Note: Topic order is subject to change. \nThis 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. \nFundamentals \nThis portion introduces SPSS\, the menu and the help systems\, and the three main types of files used.  It then addresses defining variables\, attaching labels\, defining missing values\, and various ways to enter data into SPSS.  Finally\, it covers a brief introduction to obtaining frequency distributions\, descriptive statistics\, and cross tabulations of variables. \nWithin-Case Transformations \nThis portion introduces data management capabilities\, including recoding variables (manual and automatic)\, computing new variables using formulas\, and counting occurrences of values within subjects.  Attention then turns to temporary transformations\, conditional processing of transformations\, and repetitive transformations. \nData Management with Multiple Files \nThis portion begins with a discussion of subsetting data files by drawing samples\, selecting groups and excluding groups from analysis.  Then\, the two main methods of merging SPSS data files are covered: adding additional variables and adding additional cases. \nBasic Statistical Analysis \nThe portion includes a brief demonstration of a statistical analysis in SPSS. While not delving deep into statistical theory\, we will cover the basics of an analysis\, as well as discuss the graphing facilities in SPSS. \nRegistration\nTo register for CSCAR Workshops\, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM 6-digit department shortcode: \nOFFICE HOURS\n9:00 a.m. – 5:00 p.m.\, Monday through Friday\nClosed 12pm – 1:00 p.m. every Tuesday for staff meeting.\nVoice: (734) 764-7828 (4-STAT from a campus phone)\nFax: (734) 647-2440 \nADDRESS\nCenter for Statistical Consultation and Research (CSCAR)\nThe University of Michigan\n3550 Rackham\n915 E. Washington St.\nAnn Arbor\, MI 48109-1070 \n 
URL:https://micde.umich.edu/event/introduction-to-spss/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180116T160000
DTEND;TZID=America/Detroit:20180116T170000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000098-1516118400-1516122000@micde.umich.edu
SUMMARY:MICDE Seminar: Theresa Windus\, Chemistry\, Iowa State University
DESCRIPTION:Bio: Theresa Windus is a professor of Chemistry at Iowa State University. She earned her Ph.D. from Iowa State University in 1993 and did post-doctoral research at Northwestern University. Theresa was also the Director of Computational Chemistry/Training at Ohio Supercomputer Center and the Computational Chemistry lead at the Wright Patterson Air Force Base Major Shared Resource Center. Most recently\, she was the manager of the Molecular Science Software Group and the Visualization and User Services group in the Molecular Science Computing Facility in the Environmental Molecular Sciences Laboratory of Pacific Northwest National Laboratory. \nThe challenges of the exascale from the view of a molecular chemist\nThis talk will focus on the challenges that computational chemistry faces in taking the equations that model the very small (molecules and the reactions they undergo) to efficient and scalable implementations on the very large computers of today andtomorrow. In particular\, how do we take advantage of the newest architectures while preparing for the next generation of computers? How do we increase programmer productivity while ensuring excellent performance\, efficiency and portability across multiple platforms? How do we take advantage of the work of mathematicians\, computer scientists and other computational scientists to enable our science\, while ensuring maintainability and usability of the software? How do we ensure that the algorithms that we develop are making wise use of the computational resources? How do help the next generation of computational chemists to be ready for the complex computing environments that they will face? While not claiming to have answers to all (or any!) of these questions\, we will explore some possible solutions and their implications as we go forward and face the current petascale and the future exascale challenges. These will be in the context of several Department of Energy funded computational chemistry Exascale Computing Projects (NWChemEx and GAMESS) and the NSF funded Molecular Sciences Software Institute. \nProf. Windus is being hosted by Prof. Geva (Chemistry). If you would like to meet with him Prof. Windus during her visit please email mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-theresa-windus-chemistry-iowa-state-university/
LOCATION:CHEM 1640\, 930 N University\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2017/09/Theresa-Windus.png
GEO:42.2780183;-83.7370191
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=CHEM 1640 930 N University Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=930 N University:geo:-83.7370191,42.2780183
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171211T100000
DTEND;TZID=America/Detroit:20171211T110000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000119-1512986400-1512990000@micde.umich.edu
SUMMARY:ME Faculty Candidate Seminar Series:  Xiu Yang\, Computational Mathematics Scientist\, Pacific Northwest National Laboratory
DESCRIPTION: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 inverse problem.\n  \n Uncertainty Quantification for Complex Systems Using Limited Data\nRealistic analysis and design of complex engineering systems require not only a fine understanding of the underlying physics\, but also a significant recognition of uncertainties and their influences on the quantities of interest. Intrinsic variabilities and lack of knowledge about system parameters or governing physical models often considerably affect quantities of interest and decision-making processes. For complex systems\, the available data for quantifying uncertainties or analyzing sensitivities are usually limited because the cost of conducting a large number of experiments or running many large-scale simulations can be prohibitive. Efficient approaches of representing uncertainties using limited data are critical for such problems. I will talk about three methods for uncertainty quantification by constructing surrogate model of the quantity of interest. The first method is the adaptive functional ANOVA method\, which constructs the surrogate model hierarchically by analyzing the sensitivities of individual parameters. The second method is the sparse regression based on identification of low-dimensional structure\, which exploits low-dimensional structures in the parameter space and solves an optimization problem to construct the surrogate model. The third one is the multi-fidelity information fusion via Gaussian process regression\, which integrates limited high-fidelity data with a large number of low-fidelity data. I will demonstrate the efficiency of these methods in applications including perturbation of drag and lift in aerodynamics\, solvation energy computing in chemical biology\, stability analysis of power grid system and optimizing Li-O2 battery design. \n  \n\nThis is a talk of potential interest to the MICDE community. The speakers in this seminar series are Faculty Candidates in the department of Mechanical Engineering for a Computational Science search that is being carried out with the active engagement of MICDE. We expect that the successful candidate will be a highly engaged affiliate of MICDE.
URL:https://micde.umich.edu/event/me-faculty-candidate-seminar-series-xiu-yang-computational-mathematics-scientist-pacific-northwest-national-laboratory/
LOCATION:2150 H.H. Dow\, 2300 Hayward St\, Ann Arbor\, 48109\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171206T120000
DTEND;TZID=America/Detroit:20171206T130000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
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SUMMARY:ME Faculty Candidate Seminar Series: Xun (Ryan) Huan\, Combustion Research Facility at Sandia National Laboratories
DESCRIPTION: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 research interests broadly revolve around uncertainty quantification\, decision-making under uncertainty\, data-driven modeling\, and optimization for engineering applications. Outside work\, he is an ice hockey player and a pilot. \nFinding the Most Informative Data Using Model-based Optimal Experimental Design\nExperimental data play a crucial role in developing and refining models of physical systems. However\, some experiments produce more useful data than others\, and well-chosen experiments can provide substantial resource savings. Optimal experimental design (OED) thus seeks to systematically quantify and maximize the value of experiments. We introduce general mathematical frameworks and algorithmic approaches for OED with nonlinear models. The formalism employs Bayesian statistics and an information-theoretic objective\, and rigorously defines the conditions under which batch experiments (experiments chosen simultaneously) and sequential experiments (forward-looking designs with data feedback) are truly optimal. Finding these optimal designs using conventional means is generally intractable. We develop practical numerical methods for OED by advancing computational techniques on several fronts\, including stochastic optimization\, polynomial chaos surrogate modeling\, approximate dynamic programming\, and transport maps. Using the overall algorithm\, we design combustion experiments for optimal learning of Arrhenius kinetic parameters\, and sequential sensor placement for contaminant source inversion.\n\n* Lunch won’t be provided but you are welcome to bring your own\n\n\n\nThis is a talk of potential interest to the MICDE community. The speakers in this seminar series are Faculty Candidates in the department of Mechanical Engineering for a Computational Science search that is being carried out with the active engagement of MICDE. We expect that the successful candidate will be a highly engaged affiliate of MICDE.
URL:https://micde.umich.edu/event/me-faculty-candidate-seminar-series-xun-ryan-huan/
LOCATION:MI
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171205T150000
DTEND;TZID=America/Detroit:20171205T160000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
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SUMMARY:MICDE Seminar: Tarek Zohdi\, Department of Mechanical Engineering\, University of California\, Berkeley
DESCRIPTION:Bio: Tarek I. Zohdi received his Ph.D. in 1997 in Computational and Applied Mathematics from the University of Texas at Austin and his Habilitation in General Mechanics from the Gottfried Leibniz University of Hannover in 2002. He is currently a Chancellor’s Professor of Mechanical Engineering\, Chair of the Computational and Data Science and Engineering Program at UC Berkeley and holder of the W. C. Hall Family Endowed Chair in Engineering. He also holds a Staff Scientist position at Lawrence Berkeley National Labs. His main research interests are in computational approaches for advanced manufacturing and nonconvex multiscale-multiphysics inverse problems\, in particular addressing the issue of how large numbers of micro-constituents interact to produce macroscale aggregate material behavior. He has published over 145 archival refereed journal papers and five books. In 2000\, he received the Zienkiewicz Prize and Medal\, which are awarded once every two years\, to one post-graduate researcher under the age of 35\, by The Institution of Civil Engineers in London\, to commemorate the work of Professor O. C. Zienkiewicz\, for research which contributes most to the field of numerical methods in engineering. In 2002\, he received the Best Paper of the Year 2001 Award in London\, at the Lord’s Cricket Grounds\, for a paper published in Engineering Computations\, pertaining to modeling and simulation of the propagation of failure in particulate aggregates of material. In 2003\, he received the Junior Achievement Award of the American Academy of Mechanics. The award is given once a year\, to one post-graduate researcher\, to recognize outstanding research during the first decade of a professional career. In 2008\, he was elected Fellow of the International Association for Computational Mechanics (IACM) and in 2009 he was elected Fellow of the United Stated Association for Computational Mechanics (USACM). He was elected President of the USACM in 2012\, and served from 2012 to 2014. He is an editor of Computational Mechanics\, Editor in Chief of Computational Particle Mechanics and serves on 12 editorial boards of international journals. For more information visit http://www.me.berkeley.edu/people/faculty/tarek-i-zohdi \nModeling and Simulation of Multistage Multiphysical Processes in Next-Generation Advanced Manufacturing and 3D Printing with New Multifunctional Materials\nWithin the last decade\, several industrialized countries have stressed the importance of advanced manufacturing to their economies. Many of these plans have highlighted the development of additive manufacturing techniques\, such as 3D printing\, which are still in their infancy. The objective is to develop superior products\, produced at lower overall operational costs. For these   goals to be realized\, a deep understanding of the essential ingredients comprising the materials involved in additive manufacturing is needed. The combination of rigorous material modeling theories\, coupled with the dramatic increase of computational power can potentially play a significant role in the analysis\, control\, and design of many emerging additive manufacturing processes. Specialized materials and the precise   design of their properties are key factors in the processes. Specifically\, particle-functionalized materials play a central role in this field\, in three main ways:   (1) to endow filament-based materials by adding particles to a heated binder   (2) to “functionalize” inks by adding particles to freely flowing solvents and (3) to directly deposit particles\, as dry powders\, onto surfaces and then to heat them with a laser\, e-beam or other external source\, in order to fuse them into place. The goal of these processes is primarily to build surface structures\, coatings\, etc.\, which are extremely difficult to construct using classical manufacturing methods. The objective of this presentation is to introduce the audience to basic techniques which can allow them to rapidly develop and analyze particulate-based materials needed in new additive manufacturing processes. This presentation is broken into two main parts: continuum and discrete element approaches. The materials associated with methods (1) and (2) are closely related types of continua (particles embedded in a continuous binder) and are treated using continuum approaches. The materials in method (3)\, which are of a discrete particulate character\, are analyzed using discrete element methods. \nProf. Zohdi is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet with him please email mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-tarek-zohdi-department-of-mechanical-engineering-university-of-california-berkeley/
LOCATION:1109 FXB\, 1320 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171204T100000
DTEND;TZID=America/Detroit:20171204T110000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000117-1512381600-1512385200@micde.umich.edu
SUMMARY:ME Faculty Candidate Seminar Series: Maziar Raissi\, Brown University
DESCRIPTION: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 Data Drive Scientific Computing. \nHidden Physics Models: Machine Learning of Non-linear Partial Differential Equations\n\nA grand challenge with great opportunities is to develop a coherent framework that enables blending conservation laws\, physical principles\, and/or phenomenological behaviours expressed by differential equations with the vast data sets available in many fields of engineering\, science\, and technology. At the intersection of probabilistic machine learning\, deep learning\, and scientific computations\, this work is pursuing the overall vision to establish promising new directions for harnessing the long-standing developments of classical methods in applied mathematics and mathematical physics to design learning machines with the ability to operate in complex domains without requiring large quantities of data. To materialize this vision\, this work is exploring two complimentary directions: (1) designing data-efficient learning machines capable of leveraging the underlying laws of physics\, expressed by time dependent and non-linear differential equations\, to extract patterns from high-dimensional data generated from experiments\, and (2) designing novel numerical algorithms that can seamlessly blend equations and noisy multi-fidelity data\, infer latent quantities of interest (e.g.\, the solution to a differential equation)\, and naturally quantify uncertainty in computations. The latter is aligned in spirit with the emerging field of probabilistic numerics. \n\n\nThis is a talk of potential interest to the MICDE community. The speakers in this seminar series are Faculty Candidates in the department of Mechanical Engineering for a Computational Science search that is being carried out with the active engagement of MICDE. We expect that the successful candidate will be a highly engaged affiliate of MICDE.
URL:https://micde.umich.edu/event/me-faculty-candidate-seminar-series-maziar-raissi-brown-university/
LOCATION:MI
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/MaziarRaissi.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171201T180000
DTEND;TZID=America/Detroit:20171201T190000
DTSTAMP:20260606T183651
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:20171201T083000
DTEND;TZID=America/Detroit:20171201T173000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000105-1512117000-1512149400@micde.umich.edu
SUMMARY:2017 U-M Data Science Research Forum
DESCRIPTION:Forum Highlights \n\nOral and poster presentations on\n\nTheoretical foundations of data science\nData science methodology\nData science applications in any research domain\nSocial impact of data science research\n\n\n\n\nHow to engage industry workshop\n\nAdrian Fortino\, Partner (Mercury Fund)\nMike Psarouthakis\, Director (U-M Venture Center)\nKevyn Collins-Thompson\, Associate Professor\, U-M School of Information\nMike Cafarella\, Associate Professor\, U-M Computer Science Engineering\n\n\n\n\nKeynote by Chris Rozell\n\n\nNetworking Reception\n\nAll presentations will come from submissions in response to our call for abstracts\n Abstract Submission Deadline: October 23\, 2017\n We welcome submission from all U-M data science researchers (faculty\, staff\, trainees) \nPlease register for this event.  Please also see the call for abstracts for instruction\, and submit through the Abstract Submission Form. \nPreliminary Schedule
URL:https://micde.umich.edu/event/data-science-research-forum/
LOCATION:Michigan League\, 911 N. University\, Ann Arbor\, MI\, 48104\, United States
CATEGORIES:Conference,Data Science,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171129T153000
DTEND;TZID=America/Detroit:20171129T163000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000116-1511969400-1511973000@micde.umich.edu
SUMMARY:MICDE 2017 Catalyst Grants Informational Session
DESCRIPTION:MICDE seeks proposals for innovative research projects in computational science that combine elements of mathematics\, computer science\, and cyberinfrastructure. Of interest is innovative computational research in any emerging area\, including but not limited to (a) applications such as neuroscience\, ecology\, environmental science\, evolutionary biology\, human-made complex systems\, urban infrastructure and energy\, (b) frameworks for scientific software\, exascale\, quantum\, or neuromorphic computing\, and (c) concepts such as computations to decisions. The aim of the Catalyst Grants program is to advance projects that have the potential to attract additional external funding. Priority will be given to high-impact projects with potential to eventually attract external funding. MICDE expects to fund 3-4 one-year projects at up to $100\,000 each. \nIn this informational session\, MICDE officials will clarify the program’s intent\, answer questions and facilitate team formation among attendees. \nPlease pre-register using this google form. You’ll need to be signed into your umich account. The session will be broadcasted via this bluejeans link. For more information go to https://live-umor-micde.pantheonsite.io/grants/catalyst-grants/
URL:https://micde.umich.edu/event/micde-2017-catalyst-grants-informational-session/
LOCATION:Space 2435 North Quad\, 105 S. State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171124T180000
DTEND;TZID=America/Detroit:20171124T190000
DTSTAMP:20260606T183651
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
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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:20171121T133000
DTEND;TZID=America/Detroit:20171121T143000
DTSTAMP:20260606T183651
CREATED:20230905T171414Z
LAST-MODIFIED:20230905T171414Z
UID:10000102-1511271000-1511274600@micde.umich.edu
SUMMARY:MICDE Seminar: Edward Maginn\, Department of Chemical and Biomolecular Engineering\, University of Notre Dame
DESCRIPTION:Bio: Edward Maginn received his BS in chemical engineering from Iowa State University and his PhD in chemical engineering from the University of California\, Berkeley. Prior to attending graduate school\, he worked as a process engineer for Procter and Gamble. He has been on the Notre Dame faculty since 1995 and currently holds the Dorini Family Chair of Energy Studies in the Department of Chemical and Biomolecular Engineering. He is also the chair of the department\, and was formerly the Associate Dean for Academic Programs in the Graduate School. He has won a number of awards\, including the Early Career Award from the Computational Molecular Science and Engineering Forum of the American Institute of Chemical Engineers\, the ASEE Dow Outstanding New Faculty Award\, the BP College of Engineering Outstanding Teacher Award and the NSF Career award. He is a Fellow of the American Association for the Advancement of Science and is a trustee of the CACHE Corporation. His research focuses on the development and use of atomistic molecular dynamics and Monte Carlo simulation methods to study the thermodynamic and transport properties of materials\, with special emphasis on ionic systems important in energy storage and use. \nUsing Molecular Modeling to Design New Fluids for Energy Storage and Carbon Capture\nLiquids that contain charged species\, such as electrolytes and ionic liquids\, have many important technological applications in fields such as energy storage\, separations\, and catalysis. By changing the structure of the molecules or employing mixtures\, the properties of these fluids can be altered significantly. The key questions are: How should I change the structure of the molecule or ion to get the properties I want? What type of additives should I use to improve performance? To answer these and related questions\, we use atomistic-level simulations to compute structural\, thermodynamic and transport properties of these systems. We are able to provide molecular-level explanations for experimental observations\, and we can predict properties of systems that may not yet have even been made in the laboratory. \nIn the first part of this talk\, I will describe molecular modeling research directed at improving the performance of electrolytes used in next generation “beyond lithium” batteries. Electrolytes are a critical component of batteries\, since they transport ions from the cathode to the anode during charging\, then in the reverse direction in releasing energy on discharge. Electrolytes play a leading role in a battery’s capacity for energy storage\, its lifetime and the safety of the battery. The electrolyte in a conventional lithium-ion battery consists of a lithium salt dissolved in an organic solvent. The electrolytes for next generation “beyond lithium” batteries will require new salt-solvent combinations.  Our simulations probe the way in which different electrolyte formulations\, charge carriers and additives impact the structure and dynamics of these liquids. \nIn the second half of the talk\, I will show how these same kinds of simulations can be used to develop new ionic liquids that can be used for CO2 separations / capture. Ionic liquids are pure salts that are liquid at ambient temperatures. Because they have essentially no vapor pressure and readily dissolve CO2\, people have been interested in using them for carbon capture. I will describe how our simulations have been successful in identifying new ionic liquids with properties tuned for use as conventional liquid absorbents or as supported ionic liquid membranes. \nThis is a joint seminar with the department of Chemical Engineering. Prof. Maginn is being hosted by Prof. Mayes (Chemical Engineering). If you are interested in meeting him during his visit please send an email to mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-edward-maginn-department-of-chemical-and-biomolecular-engineering-university-of-notre-dame/
LOCATION:MI
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20171117T180000
DTEND;TZID=America/Detroit:20171117T190000
DTSTAMP:20260606T183651
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:VCALENDAR