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X-WR-CALNAME:Michigan Institute for Computational Discovery and Engineering
X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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TZID:America/Detroit
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DTSTART:20180311T070000
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DTSTART:20181104T060000
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DTSTART:20190310T070000
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DTSTART:20200308T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190829T130000
DTEND;TZID=America/Detroit:20190829T160000
DTSTAMP:20260626T120834
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000259-1567083600-1567094400@micde.umich.edu
SUMMARY:Research Computing on the Great Lakes cluster
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-5/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190827T130000
DTEND;TZID=America/Detroit:20190827T170000
DTSTAMP:20260626T120834
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000256-1566910800-1566925200@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins welcome. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-9/
LOCATION:ARCTS Office\, 540 E. Liberty St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190826T130000
DTEND;TZID=America/Detroit:20190826T150000
DTSTAMP:20260626T120834
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000255-1566824400-1566831600@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins welcome. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-8/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190821T130000
DTEND;TZID=America/Detroit:20190821T160000
DTSTAMP:20260626T120834
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000257-1566392400-1566403200@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\nGreat Lakes Slurm HPC cluster\n\n\nCOURSE PREPARATION\nIn order to participate successfully in the workshop exercises\, you must have a user login\, a Slurm account\, and be enrolled in Duo. The user login allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare jobs for submission. The Slurm account allows you to submit those jobs\, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster. \n\nUSER LOGIN\nIf you already have a Flux user login\, you don’t need to do anything.  Otherwise\, go to the Flux user login 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\nSLURM ACCOUNT\nWe create a Slurm 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 Slurm account\, you can use that\, though if there are any issues with that account\, we will ask you to use the workshop 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-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190815T090000
DTEND;TZID=America/Detroit:20190815T110000
DTSTAMP:20260626T120834
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000254-1565859600-1565866800@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins welcome. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-6/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190812T130000
DTEND;TZID=America/Detroit:20190812T160000
DTSTAMP:20260626T120834
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000232-1565614800-1565625600@micde.umich.edu
SUMMARY:Android Application Development: An Introduction to Android Studio
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. If you are developing an app in Android for the first time\, the first option you will likely find is “Android Studio\,” a free integrated-developer-environment (IDE) provided directly by the Android team at Google\, using the Java programming language. It’s a good starting point for experienced programmers to build an Android app from scratch. \nWe will present a brief overview of the “Android Studio” environment\, and provide a step-by-step example to make an app with multiple activities and using built-in sensors. A familiarity with the Java programming language is recommended to get the most out of the seminar. Participants who want to program during the workshop are recommended to install “Android Studio” in advance and to bring their own laptops to use during the presentation.
URL:https://micde.umich.edu/event/android-application-development-an-introduction-to-android-studio/
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:20190806T130000
DTEND;TZID=America/Detroit:20190806T150000
DTSTAMP:20260626T120834
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000231-1565096400-1565103600@micde.umich.edu
SUMMARY:Android Application Development: An Overview
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. As of 2017\, Google and Apple (the creators of Android and iOS\, respectively) confirmed a combined total of over 3 billion devices around the globe using their mobile operating systems. The capabilities and built-in sensors on modern smartphones also provide a new avenue to collect data or engage with participants in a non-invasive manner. It might seem intimidating to write a mobile app for the first time\, but the process is similar to writing software for a desktop computer\, which in itself isn’t as hard as you might think! \nWe will present a brief overview on developing Android apps\, the differences between Android and iOS development\, and provide quick demonstrations on how you can use a variety of available programming environments and languages to create an app. A basic familiarity with computer programming is recommended to get the most out of the seminar. This is not a in-depth workshop with the intention to have its participants program code alongside the presentation\, but meant to introduce available options for them to consider and to answer questions on the topic. Separate “hands-on” workshops will be provided later in the academic year based on audience feedback.
URL:https://micde.umich.edu/event/android-application-development-an-overview-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:20190806T130000
DTEND;TZID=America/Detroit:20190806T150000
DTSTAMP:20260626T120834
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000253-1565096400-1565103600@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins welcome. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-5/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,High Performance Computing,Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190805T130000
DTEND;TZID=America/Detroit:20190805T153000
DTSTAMP:20260626T120834
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000227-1565010000-1565019000@micde.umich.edu
SUMMARY:Introduction to Geostatistics
DESCRIPTION:Geostatistics models continuous variation over geographical space. It is widely used for spatial interpolation. We will use R and ArcGIS to explore and develop an understanding of variogram and kriging and how they can be used for robust and unbiased interpolation of data over space. \nDepending on the interests of the participants\, the workshop will also touch upon the computational aspects involved in implementing geostatistical models for relatively large data.
URL:https://micde.umich.edu/event/introduction-to-geostatistics/
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:20190730T090000
DTEND;TZID=America/Detroit:20190730T110000
DTSTAMP:20260626T120834
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000252-1564477200-1564484400@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins only. Thanks!
URL:https://micde.umich.edu/event/transition-from-flux-to-greatlakes/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190729T130000
DTEND;TZID=America/Detroit:20190729T150000
DTSTAMP:20260626T120834
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000251-1564405200-1564412400@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins only. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-4/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190725T130000
DTEND;TZID=America/Detroit:20190725T143000
DTSTAMP:20260626T120834
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000240-1564059600-1564065000@micde.umich.edu
SUMMARY:Spin Class: No Sweat Reports in R
DESCRIPTION:If you use R\, there’s a decent chance you are already familiar with using Rmarkdown files and the knitr package to create reports documenting your analyses. A lesser known but equally useful function distributed with the knitr package is spin\, which gives you the power of Rmarkdown directly from an R script. This is especially powerful when creating quick\, memorandum-style documents which may be heavy on analysis but light on text. The power of spin lies in making it easy to interleave code\, output\, and text including all the bells and whistles of Rmarkdown but without the extra work of writing a separate Rmd file. \nIn this workshop\, I’ll discuss the basics of spin and its relationship to Rmarkdown and then provide participants with hands-on experience spinning up elegant\, reproducible\, analytic reports.
URL:https://micde.umich.edu/event/spin-class-no-sweat-reports-in-r/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190722T090000
DTEND;TZID=America/Detroit:20190722T110000
DTSTAMP:20260626T120834
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000238-1563786000-1563793200@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins only. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-2/
LOCATION:NCRC Building 300\, Room 372\, North Campus Research Complex Building 300\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190722T000000
DTEND;TZID=America/Detroit:20190723T000000
DTSTAMP:20260626T120834
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000241-1563753600-1563840000@micde.umich.edu
SUMMARY:GlobusWorld Tour
DESCRIPTION:Globus is coming to Michigan July 22-23 to present one of their Globus Tour Workshops.  The purpose is present to developers and researchers on the use of their tools (Globus Tool Kit) in developing automated data workflows.  With more and more high capacity instruments coming online it is important to be able move data from these to storage or compute as fast as possible with human intervention. This workshop will be useful in that effort.\n\nThe workshop will also be useful for people who are developing Web applications as gateways to data repositories and other similar projects.\n\n\nBelow is a link for more information and registration.\n\nhttps://www.globusworld.org/tour/program?c=22
URL:https://micde.umich.edu/event/globusworld-tour/
LOCATION:North Quadrangle\, RM 2255\, 105 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Conference,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190719T150000
DTEND;TZID=America/Detroit:20190719T163000
DTSTAMP:20260626T120834
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000236-1563548400-1563553800@micde.umich.edu
SUMMARY:More Mixed Models
DESCRIPTION:In the R world\, lme4 is a great package for mixed model estimation\, and the most widely used for such models.  For standard settings\, few tools will do the trick as easily or as quickly\, and because of that\, its approach has been emulated in other packages and statistical programs.  However\, that ease and efficiency comes at a price of being able to do more complex models\, so at some point you may need to switch gears.  This workshop will demonstrate other ways to potentially get what you need. \nDemonstration will (potentially) include the following\, along with some discussion of strengths and/or drawbacks to use. \nglmmTMB: heterogenous variances\, autocorrelated residuals\, zero-inflated models\nrstanarm\, brms: bayesian approaches\nmgcv: additive effects\, robust models\, big data\nstatsmodels: in case you’re in the Python world. \nThis workshop assumes basic familiarity with mixed models\, and familiarity with R\, especially the lme4 package.  However\, this is a brief demonstration with a simple goal of bringing about awareness of other useful tools\, so one can simply attend to hear about them.
URL:https://micde.umich.edu/event/more-mixed-models/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190716T090000
DTEND;TZID=America/Detroit:20190716T110000
DTSTAMP:20260626T120834
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000237-1563267600-1563274800@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo registration required. Drop-ins only. Thank you!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes/
LOCATION:2g207\, University Hospital\, room 2G207\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190711T130000
DTEND;TZID=America/Detroit:20190711T170000
DTSTAMP:20260626T120834
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000239-1562850000-1562864400@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo registration required. Drop-ins only. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-3/
LOCATION:LSA 2130\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190628T130000
DTEND;TZID=America/Detroit:20190628T160000
DTSTAMP:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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:20260626T120834
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
END:VCALENDAR