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DTSTART:20180311T070000
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DTSTART;TZID=America/Detroit:20190628T130000
DTEND;TZID=America/Detroit:20190628T160000
DTSTAMP:20260606T045640
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000226-1561726800-1561737600@micde.umich.edu
SUMMARY:Modeling spatially correlated data
DESCRIPTION:This workshop will cover introductory concepts\, tools\, and techniques to model spatially referenced data observed over a regular or irregular grid. We will cover models such as spatial autoregressive that emphasizes the idea of spatial correlation via neighborhood. \nThe workshop will focus on conceptual aspects\, diagnostics tests\, implementation in R\, and interpretation of results.
URL:https://micde.umich.edu/event/modeling-spatially-correlated-data/
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:20190621T093000
DTEND;TZID=America/Detroit:20190621T160000
DTSTAMP:20260606T045640
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000078-1561109400-1561132800@micde.umich.edu
SUMMARY:Introduction to Stata
DESCRIPTION:Topics: \n\nBy the end of the workshop\, participants will be able to:\n\nWork with Stata\, including using Do-files and using the help system.\nGet data into Stata and manage your data files\nEstablish familiarity with your data\nClean the data to prepare it for analysis\nCheck for basic errors in the data\nGenerate new variables or manipulate existing variables\nMerge or reshape the data.\nProduce summary tables and descriptive statistics.\n\n\nNote: This is a full day workshop. To get the most out of it\, please plan to stay for the entire class.\n\n(Topics subject to change) \nIf you have questions about this workshop\, please send an email to jerrick@umich.edu
URL:https://micde.umich.edu/event/introduction-to-stata-3-3-2-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190620T150000
DTEND;TZID=America/Detroit:20190620T163000
DTSTAMP:20260606T045640
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000235-1561042800-1561048200@micde.umich.edu
SUMMARY:R package demo: gganimate and patchwork
DESCRIPTION:This brief workshop will demonstrate the capabilities of two recent R packages\, gganimate and patchwork. One package allows the data explorer to provide some lively enhancement to an otherwise static plot\, without doing much more than standard plots with ggplot2. Likewise\, the other package can seamlessly combine multiple ggplots of varying kinds into one cohesive visualization. \nPrior knowledge of ggplot2 is required\, but not much else. Note also that this is just a demo. No statistical or analytical concepts will be discussed\, and while participation is certainly welcomed\, one can simply watch the demonstration.
URL:https://micde.umich.edu/event/r-package-demo-gganimate-and-patchwork/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190607T130000
DTEND;TZID=America/Detroit:20190607T163000
DTSTAMP:20260606T045640
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000234-1559912400-1559925000@micde.umich.edu
SUMMARY:Advanced batch computing with Slurm on the Great Lakes cluster
DESCRIPTION:OVERVIEW\n\n\nThis workshop will cover some more advanced topics in cluster computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; troubleshooting and analysis; a brief introduction to workflow scripting using bash; parallel processing in one or more of Python\, R\, and MATLAB; and parallel profiling of C and Fortran code using Allinea Performance Reports and Allinea MAP of one or more of MPI and OpenMP programs. \nPRE-REQUISITES\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. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan\, where he is responsible for high performance computing support and education\, and was 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. \nJohn Thiels\nResearch Computing Services\nLSA Technology Services \nMATERIALS\n\nLecture Notes (TBD)\nMPI Profiling with Allinea MAP\nGreat Lakes Slurm HPC cluster\n\n\nCOURSE PREPARATION\nIn order to participate successfully in the workshop exercises\, you must have a Great Lakes user account\, a Great Lakes job account (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 jobs for submission. The job account allows you to submit those jobs\, executing the applications in parallel on the cluster and charging their resource use against the account. Duo is required to help authenticate you to the cluster. \nGREAT LAKES USER ACCOUNT\nIf you already have a Flux user account\, you don’t need to do anything to obtain a Great Lakes user account.  Otherwise\, go to the Flux user account application page at: https://arc-ts.umich.edu/fluxform/ . \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \nGREAT LAKES JOB ACCOUNT\nWe create a job account 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 job account 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 Great Lakes job account\, you can use that\, though if there are any issues with that job account\, we will ask you to use the workshop job account. \nDUO AUTHENTICATION\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet 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 or Mac computers\, which require your uniqname and UMICH (AKA Level 1) 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. \n\nIf you are unable to attend the presentation in person we will be offering a link into the live course via BlueJeans. Please register as if attending in person.  This will put you on the wait list but we will get your account setup for remote attendance.
URL:https://micde.umich.edu/event/advanced-batch-computing-with-slurm-on-the-great-lakes-cluster/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190604T140000
DTEND;TZID=America/Detroit:20190604T160000
DTSTAMP:20260606T045640
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000230-1559656800-1559664000@micde.umich.edu
SUMMARY:Multiple testing and large-scale inference in Python
DESCRIPTION:This workshop will cover techniques for conducting large-scale inference\, using Python and its libraries.  We will cover the principals of how large scale inference is different from classical inference\, and why multiple comparisons should usually be accounted for in an analysis.  We will then discuss the Bonferroni method\, Benjamini and Hochberg’s False Discovery Rate (FDR)\, Efron’s local FDR\, the Scheffe approach\, and the knockoff filter.  The motivation for each approach will be covered\, and the process for carrying it out in a data analysis will be discussed in detail.  Several case studies will be used to illustrate these analytic approaches.
URL:https://micde.umich.edu/event/multiple-testing-and-large-scale-inference-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
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:20190531T130000
DTEND;TZID=America/Detroit:20190531T163000
DTSTAMP:20260606T045640
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000233-1559307600-1559320200@micde.umich.edu
SUMMARY:Introduction to the Great Lakes cluster and batch computing with Slurm
DESCRIPTION:OVERVIEW\nThis workshop will provide a brief overview of the components of the Great Lakes 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. \nPRE-REQUISITES\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. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan\, where he is responsible for high performance computing support and education\, and was 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. \nJohn Thiels\nResearch Computing Services\nLSA Technology Services \nMark Champe\nResearch Computing Services\nLSA Technology Services \nMATERIALS\n\nLecture notes (TBD)\nGreat Lakes Slurm HPC cluster\n\n\nCOURSE PREPARATION\nIn order to participate successfully in the workshop exercises\, you must have a Great Lakes user account\, a Great Lakes job account (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 jobs for submission. The job account allows you to submit those jobs\, executing the applications in parallel on the cluster and charging their resource use against the account. Duo is required to help authenticate you to the cluster. \n\nGREAT LAKES USER ACCOUNT\nIf you already have a Flux user account\, you don’t need to do anything to obtain a Great Lakes user account.  Otherwise\, go to the Flux user account application page at: https://arc-ts.umich.edu/fluxform/ . \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \n\nGREAT LAKES JOB ACCOUNT\nWe create a job account 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 job account 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 Great Lakes job account\, you can use that\, though if there are any issues with that job account\, we will ask you to use the workshop job account. \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 (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet 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 or Mac computers\, which require your uniqname and UMICH (AKA Level 1) 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. \nIf you are unable to attend the presentation in person we will be offering a link into the live course via BlueJeans. Please register as if attending in person.  This will put you on the wait list but we will get your account setup for remote attendance.
URL:https://micde.umich.edu/event/introduction-to-the-great-lakes-cluster-and-batch-computing-with-slurm/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190530T130000
DTEND;TZID=America/Detroit:20190530T163000
DTSTAMP:20260606T045640
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000225-1559221200-1559233800@micde.umich.edu
SUMMARY:Introduction to GIS
DESCRIPTION:This workshop will cover introductory GIS concepts\, tools\, and techniques. We will use QGIS (and ArcGIS) and learn the basics of vector- and network-data GIS by solving problems.  You will also learn to generate maps. We will use the graphical user interface and no programming experience is required for this workshop. \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/introduction-to-gis/
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:20190528T140000
DTEND;TZID=America/Detroit:20190528T160000
DTSTAMP:20260606T045640
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000229-1559052000-1559059200@micde.umich.edu
SUMMARY:Simulation studies in Python
DESCRIPTION:Simulation studies are used to understand the properties of statistical procedures.  This technique is widely used when conducting power analysis for research studies\,  which is one focus for this workshop.  Simulation studies can also be used to assess the performance of statistical procedures in non-standard settings\, such as when there are concerns about missing data\, selection bias\, measurement errors\, or model specification.  Another role for simulation studies is to contrast the performance of alternative statistical methods\, e.g. for prediction. \nThis workshop will emphasize practical aspects of conducting simulation studies using Python\, including data simulation\, automation\, and interpretation and communication of simulation findings.
URL:https://micde.umich.edu/event/simulation-studies-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
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:20190523T160000
DTEND;TZID=America/Detroit:20190523T170000
DTSTAMP:20260606T045640
CREATED:20230905T171401Z
LAST-MODIFIED:20260401T202136Z
UID:10000224-1558627200-1558630800@micde.umich.edu
SUMMARY:Introduction to the Twitter API
DESCRIPTION:This workshop is designed for those who are interested in getting started with their own research and analytics of Twitter data. The workshop introduces workflows for using the Twitter API for programmers and non-programmers alike. For non-programmers\, we’ll be using the Postman software. For programmers\, we’ll demonstrate the same process in Python. We will also discuss some of the limitations of the Twitter API and cover how to parse the JSON data retrieved from it.\n\n\n\n\n\n\n\nThis workshop accompanies the #UMTweetCon2019 conference on the use of Twitter data in research and analytics at the University of Michigan on May 23\, 2019. Participants interested in attending the workshop are invited to also attend the #UMTweetCon2019 panel and poster sessions to learn more about ongoing Twitter data research at U-M.
URL:https://micde.umich.edu/event/introduction-to-the-twitter-api/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190522T090000
DTEND;TZID=America/Detroit:20190522T170000
DTSTAMP:20260606T045640
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000007-1558515600-1558544400@micde.umich.edu
SUMMARY:Introduction to Survey Design: Data Collection\, Questionnaire Design and Response Processes-Lecture
DESCRIPTION:This lecture-format workshop will present an overview of available modes and methods of survey data collection as well as an introduction to the survey response process and implications for questionnaire design.  Participants will gain an appreciation of the tradeoffs inherent in survey design decisions and how design can affect data quality and survey errors. Topics will include: \n\nSurvey errors\, in particular measurement\, coverage\, and nonresponse error.\nWhat to consider when selecting a data collection method for a particular research question.\nMeasurement (response) error and how to reduce it through question wording/format and questionnaire structure.\n\nThe role of the interviewer and interviewer effects.
URL:https://micde.umich.edu/event/introduction-to-survey-design-data-collection-questionnaire-design-and-response-processes-lecture-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:20190521T140000
DTEND;TZID=America/Detroit:20190521T160000
DTSTAMP:20260606T045640
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000228-1558447200-1558454400@micde.umich.edu
SUMMARY:Dimension Reduction with Python
DESCRIPTION:This workshop will cover dimension reduction techniques for data analysis in Python\, focusing on Principal Component Analysis (PCA)\, factor analysis\, and canonical correlation analysis (CCA).  Depending on audience interest\, dimension reduction regression (e.g. SIR)\, and kernel versions of the classical dimension reduction techniques can also be discussed. \nThe presentation will begin by covering the conceptual basis of these methods\, then we will discuss several case studies.  The Statsmodels\, Sklearn\, Numpy\, and Scipy Python libraries will be used to conduct the analyses.  Visualization of results using Matplotlib and Seaborn will also be covered.
URL:https://micde.umich.edu/event/dimension-reduction-with-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
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:20190521T130000
DTEND;TZID=America/Detroit:20190521T170000
DTSTAMP:20260606T045640
CREATED:20230905T171400Z
LAST-MODIFIED:20260522T154048Z
UID:10000040-1558443600-1558458000@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. \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-5-2-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190520T130000
DTEND;TZID=America/Detroit:20190520T160000
DTSTAMP:20260606T045640
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000217-1558357200-1558368000@micde.umich.edu
SUMMARY:Advanced batch computing on the Flux cluster
DESCRIPTION:This 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. \nCourse Prerequisites:  Introduction 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. \nPlease use our class mailing list hpc101course@umich.edu for questions\, comments\, or to seek further assistance.
URL:https://micde.umich.edu/event/advanced-batch-computing-on-the-flux-cluster-8/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190515T130000
DTEND;TZID=America/Detroit:20190515T170000
DTSTAMP:20260606T045640
CREATED:20230905T171400Z
LAST-MODIFIED:20260522T154510Z
UID:10000006-1557925200-1557939600@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. \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-5-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190513T090000
DTEND;TZID=America/Detroit:20190513T120000
DTSTAMP:20260606T045640
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000210-1557738000-1557748800@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. \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\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. \nIf you have questions about this workshop\, please send an email to the instructor at kgweiss@umich.edu
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-7-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190510T130000
DTEND;TZID=America/Detroit:20190510T160000
DTSTAMP:20260606T045640
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000209-1557493200-1557504000@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. \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\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. \nIf you have questions about this workshop\, please send an email to the instructor at kgweiss@umich.edu
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-7-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190425T130000
DTEND;TZID=America/Detroit:20190425T160000
DTSTAMP:20260606T045640
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
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190423T140000
DTEND;TZID=America/Detroit:20190423T160000
DTSTAMP:20260606T045640
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190417T160000
DTEND;TZID=America/Detroit:20190417T170000
DTSTAMP:20260606T045640
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
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/03/Guy-Vandenbosch.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190417T130000
DTEND;TZID=America/Detroit:20190417T160000
DTSTAMP:20260606T045640
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:20190416T140000
DTEND;TZID=America/Detroit:20190416T160000
DTSTAMP:20260606T045640
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
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:20260606T045640
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:20190412T133000
DTEND;TZID=America/Detroit:20190412T170000
DTSTAMP:20260606T045640
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:20190410T080000
DTEND;TZID=America/Detroit:20190410T170000
DTSTAMP:20260606T045640
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000141-1554883200-1554915600@micde.umich.edu
SUMMARY:The 2019 MICDE Symposium
DESCRIPTION:[vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text]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:20190409T140000
DTEND;TZID=America/Detroit:20190409T160000
DTSTAMP:20260606T045640
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
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:20190404T120000
DTEND;TZID=America/Detroit:20190404T130000
DTSTAMP:20260606T045640
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:20190403T130000
DTEND;TZID=America/Detroit:20190403T160000
DTSTAMP:20260606T045640
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000218-1554296400-1554307200@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-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190402T140000
DTEND;TZID=America/Detroit:20190402T160000
DTSTAMP:20260606T045640
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000201-1554213600-1554220800@micde.umich.edu
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
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190401T153000
DTEND;TZID=America/Detroit:20190401T170000
DTSTAMP:20260606T045640
CREATED:20230905T171400Z
LAST-MODIFIED:20260401T195156Z
UID:10000190-1554132600-1554138000@micde.umich.edu
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:20190326T140000
DTEND;TZID=America/Detroit:20190326T160000
DTSTAMP:20260606T045640
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000200-1553608800-1553616000@micde.umich.edu
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/
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
END:VCALENDAR