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DTSTART;TZID=America/Detroit:20210729T140000
DTEND;TZID=America/Detroit:20210729T153000
DTSTAMP:20260604T200159
CREATED:20210624T170550Z
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UID:10000494-1627567200-1627572600@micde.umich.edu
SUMMARY:R Short Course: Vectors and Data Frames (Part 2)
DESCRIPTION:This is part 2 of a 5-part workshop series on programming in R.  This week\, we’ll discuss the following topics: vectors\, types\, lists\, and data frames. You’ll learn about indexing each of these objects and using `subset()`\, `aggregate()`\, and `merge()` for working with data frames. These workshops follow a hybrid format: a week before the scheduled meeting time participants will be given access to pre-recorded content and recommended readings to review at their own pace.  The following week\, we’ll meet at the posted time for 90 minutes over Zoom to answer questions and work on a collection of exercises.  At the end of the course\, we’ll gather for a 3-hour practicum\, in which we’ll program a console version of the game “Mastermind”. 
URL:https://micde.umich.edu/event/r-short-course-vectors-and-data-frames-part-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210728T120000
DTEND;TZID=America/Detroit:20210728T133000
DTSTAMP:20260604T200159
CREATED:20210720T122602Z
LAST-MODIFIED:20260401T195652Z
UID:10000499-1627473600-1627479000@micde.umich.edu
SUMMARY:XSEDE: Python Tools for Data Science
DESCRIPTION:OVERVIEW\nPython has become a very popular programming language and software ecosystem for work in Data Science\, integrating support for data access\, data processing\, modeling\, machine learning\, and visualization. In this webinar\, we will describe some of the key Python packages that have been developed to support that work\, and highlight some of their capabilities. This webinar will also serve as an introduction and overview of topics addressed in two Cornell Virtual Workshop tutorials.
URL:https://micde.umich.edu/event/xsede-python-tools-for-data-science/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210727T150000
DTEND;TZID=America/Detroit:20210727T160000
DTSTAMP:20260604T200159
CREATED:20210713T154234Z
LAST-MODIFIED:20230217T195718Z
UID:10000498-1627398000-1627401600@micde.umich.edu
SUMMARY:Geostatistics – III
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we will cover the basics of Geostatistics. In this third workshop\, we will combine the material we covered in the first two workshops and develop the geostatistical modeling approach. This is mainly a lecture style workshop\, but will include an example in R. The material will also help you understand the basics of Gaussian Process Regression\, a commonly used modeling technique in Machine Learning.
URL:https://micde.umich.edu/event/geostatistics-iii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210726T100000
DTEND;TZID=America/Detroit:20210726T120000
DTSTAMP:20260604T200159
CREATED:20210518T154620Z
LAST-MODIFIED:20210518T154620Z
UID:10000477-1627293600-1627300800@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 (including smartphones\, smartwatches\, and much more) 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 you to consider and to answer questions on the topic. \nPlease register at least 24 hours in advance. Event may be canceled if pre-registration is low.
URL:https://micde.umich.edu/event/android-application-development-an-overview-4/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210722T140000
DTEND;TZID=America/Detroit:20210722T153000
DTSTAMP:20260604T200159
CREATED:20210624T165605Z
LAST-MODIFIED:20230217T195712Z
UID:10000493-1626962400-1626967800@micde.umich.edu
SUMMARY:R Short Course: Getting Started (Part 1)
DESCRIPTION:This is part 1 of a 5-part series of workshops on programming in R.  This week\, we’ll discuss the following topics: creation and naming of objects\, R’s global environment\, arithmetic operations\, R’s package system\, and reading and writing data. These workshops follow a hybrid format: a week before the scheduled meeting time participants will be given access to pre-recorded content and recommended readings to review at their own pace.  The following week\, we’ll meet at the posted time for 90 minutes over Zoom to answer questions and work on a collection of exercises.  At the end of the course\, we’ll gather for a 3-hour practicum\, in which we’ll program a console version of the game “Mastermind”.
URL:https://micde.umich.edu/event/r-short-course-getting-started-part-1/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210715T150000
DTEND;TZID=America/Detroit:20210715T160000
DTSTAMP:20260604T200159
CREATED:20210615T153121Z
LAST-MODIFIED:20210615T153121Z
UID:10000491-1626361200-1626364800@micde.umich.edu
SUMMARY:Geostatistics – II
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we are covering the basics of Geostatistics. In this second workshop\, we will focus on covariance and variogram\, and their estimation in the context of geostatistical modeling. This is mainly a lecture style workshop\, but we will also execute some examples in R. The material will also help you understand the basics of Gaussian Process Regression\, a commonly used modeling technique in Machine Learning.
URL:https://micde.umich.edu/event/geostatistics-ii-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210706T100000
DTEND;TZID=America/Detroit:20210706T120000
DTSTAMP:20260604T200159
CREATED:20210521T181521Z
LAST-MODIFIED:20210521T181521Z
UID:10000481-1625565600-1625572800@micde.umich.edu
SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level\, Python interface running on top of multiple neural network libraries\, including the popular library TensorFlow. In this workshop\, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs\, as well as image classification using Convolutional Neural Networks (CNNs). We will also look at regularization techniques and how to deal with under- and over-fitting. All examples will use Python; some familiarity with Python is recommended. The workshop will be done online via Zoom. We will run the models using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-11/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210629T150000
DTEND;TZID=America/Detroit:20210629T160000
DTSTAMP:20260604T200159
CREATED:20210610T164412Z
LAST-MODIFIED:20230217T195709Z
UID:10000490-1624978800-1624982400@micde.umich.edu
SUMMARY:Geostatistics – I
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sparsely sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we will cover the basics of Geostatistics. In this first workshop we will understand the idea of stationary random fields\, positive definite functions\, and the fundamental building blocks of Gaussian random fields. This is mainly a lecture style workshop\, but we will also execute some examples in R. The material will also help you understand the foundations of Gaussian Process Regression\, a commonly used technique in Machine Learning and AI.
URL:https://micde.umich.edu/event/geostatistics-i/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210629T130000
DTEND;TZID=America/Detroit:20210629T130000
DTSTAMP:20260604T200159
CREATED:20210607T150210Z
LAST-MODIFIED:20210607T150210Z
UID:10000488-1624971600-1624971600@micde.umich.edu
SUMMARY:Advanced research computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\n\n\nThis workshop will cover some more advanced topics in 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; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python\, R\, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP. \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 member of the LSA Technology Services Research team 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\nGreat Lakes Slurm HPC cluster\nGreat Lakes User Guide\nTwo-page Cheat Sheet\nMPI Profiling with Allinea MAP\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. \nUSER LOGIN\nIf you already have a Great Lakes user login\, you don’t need to do anything.  Otherwise\, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/ . \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \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. \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 will need VPN software to access the U-M network.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to Great Lakes. Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \n\nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software\, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\n\nOur Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes. \nPlease prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class. \n\nA Zoom link will be provided to the participants the day before the class. Registration is required.Please note this session will be recorded. \n  \nPlease register at https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-10/register/
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster-7-2-2/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210625T130000
DTEND;TZID=America/Detroit:20210625T160000
DTSTAMP:20260604T200159
CREATED:20210607T164138Z
LAST-MODIFIED:20210607T164138Z
UID:10000489-1624626000-1624636800@micde.umich.edu
SUMMARY:Introduction to Research Computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\nThis workshop will introduce you to high performance computing on the Great Lakes cluster.  After a brief overview of the components of the cluster and the resources available there\, the main body of the workshop will cover creating batch scripts and the options available to run jobs\, and hands-on experience in submitting\, tracking\, and interpreting the results of submitted jobs. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered. \nPRE-REQUISITES\nThis course assumes familiarity with the Linux command line as might be obtained from the 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\, and be able to create and remove files and folders.  Some exposure to shell input and output redirection and pipes would also be useful. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a member of the LSA Technology Services Research team 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. \nMATERIALS\n\nLecture Notes\nGreat Lakes Slurm HPC cluster\nGreat Lakes User Guide\nTwo-page Cheat Sheet\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. \nUSER LOGIN\nIf you already have a Great Lakes user login\, you don’t need to do anything.  Otherwise\, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/ \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \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. \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. \nLAPTOP PREPARATION\nYou will need VPN software to access the U-M network on which Great Lakes is located.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software\, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\nOur Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes. \nPlease prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class. \nA Zoom link will be provided to the participants the day before the class. Registration is required.  Please note this session will be recorded. \n  \nIf you have questions about this workshop\, please send an email to the instructors at hpc-course@umich.edu \nPlease register at https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-8/register/
URL:https://micde.umich.edu/event/introduction-research-computing-on-the-great-lakes-cluster-4-2-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210625T120000
DTEND;TZID=America/Detroit:20210625T130000
DTSTAMP:20260604T200159
CREATED:20210621T171912Z
LAST-MODIFIED:20230217T195710Z
UID:10000492-1624622400-1624626000@micde.umich.edu
SUMMARY:ME Special Webinar: Aditya Nair\, Mechanical Engineering\, University of Nevada
DESCRIPTION:Bio: Aditya G. Nair joined the Department of Mechanical Engineering at U. Nevada\, Reno in August 2020. His research interests are in the areas of computational fluid dynamics\, unsteady aerodynamics\, high-performance computing\, data science and control theory focused on modeling and control of high-dimensional fluid flow physics. He received his Ph.D. in mechanical engineering from the Florida State U. in 2018. Prior to this\, he completed his M.S. in mechanical engineering from U. Michigan in 2013 and B.E in mechanical engineering from University of Mumbai in 2011. Following his Ph.D.\, he served as a post-doctoral research associate in the mechanical engineering department at U. of Washington till July 2020. \nPhysics-based and data-driven strategies for modeling and control of unsteady fluid flows\nData and network science offer novel perspectives to describe complex dynamics over a web of interactions. The last few years have seen an emergence of such techniques to characterize\, model\, and control fluid flows. The ability of these approaches to characterize vortical and modal interactions in unsteady fluid flows is essential to understand its complex behavior. Using a simple description of the flow physics on a mathematical graph with weights based on vortical interactions\, modal interactions and probabilistic interactions\, we can design feedback control techniques to alter flow behavior. We discuss some of the successes and challenges associated with applying this formalism for fluid dynamics. \nZoom information\nlink: umich.zoom.us/j/92859783250\npasscode: 833499 \nProf. Nair is being hosted by Prof. Johnsen (Mechanical Engineering). \n 
URL:https://micde.umich.edu/event/me-special-webinar-aditya-nair-mechanical-engineering-university-of-nevada/
LOCATION:Zoom Event\, MI\, United States
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/aditya-nair-nevada.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210624T090000
DTEND;TZID=America/Detroit:20210624T120000
DTSTAMP:20260604T200159
CREATED:20210607T135434Z
LAST-MODIFIED:20210607T135434Z
UID:10000487-1624525200-1624536000@micde.umich.edu
SUMMARY:Advanced research computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\n\n\nThis workshop will cover some more advanced topics in 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; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python\, R\, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP. \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 member of the LSA Technology Services Research team 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\nGreat Lakes Slurm HPC cluster\nGreat Lakes User Guide\nTwo-page Cheat Sheet\nMPI Profiling with Allinea MAP\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. \nUSER LOGIN\nIf you already have a Great Lakes user login\, you don’t need to do anything.  Otherwise\, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/ . \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \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. \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 will need VPN software to access the U-M network.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to Great Lakes. Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \n\nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software\, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\n\nOur Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes. \nPlease prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class. \n\nA Zoom link will be provided to the participants the day before the class. Registration is required.Please note this session will be recorded. \n  \nPlease register at https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-9/register/
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster-7-2/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210623T130000
DTEND;TZID=America/Detroit:20210623T160000
DTSTAMP:20260604T200159
CREATED:20210607T134504Z
LAST-MODIFIED:20210607T134504Z
UID:10000485-1624453200-1624464000@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:OVERVIEW\nThis course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \n​ \nPRE-REQUISITES \nNone. \nINSTRUCTOR \nKenneth Weiss\nIT Project Senior Manager \nHITS Academic IT – HPC team \nKen is a High Performance Computing Consultant with the Health Information Technology & Services (HITS) Academic IT – HPC team 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 will need VPN software to access the U-M network.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to training host. Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the training host. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \n\nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software.  A demonstration of this software will be given during class.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\n\nDuring class you will be given the name of the training host to be able to participate in the hands-on activities. \nA Zoom link will be provided to the participants the day before the class. Registration is required.  Please note\, this session will be recorded.   \nIf you have questions about this workshop\, please send an email to the instructor at kgweiss@umich.edu \n\nRegister at https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-the-linux-command-line-31/register/
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-27-2-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210622T130000
DTEND;TZID=America/Detroit:20210622T160000
DTSTAMP:20260604T200159
CREATED:20210607T135232Z
LAST-MODIFIED:20230217T195821Z
UID:10000486-1624366800-1624377600@micde.umich.edu
SUMMARY:Introduction to Research Computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\nThis workshop will introduce you to high performance computing on the Great Lakes cluster.  After a brief overview of the components of the cluster and the resources available there\, the main body of the workshop will cover creating batch scripts and the options available to run jobs\, and hands-on experience in submitting\, tracking\, and interpreting the results of submitted jobs. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered. \nPRE-REQUISITES\nThis course assumes familiarity with the Linux command line as might be obtained from the 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\, and be able to create and remove files and folders.  Some exposure to shell input and output redirection and pipes would also be useful. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a member of the LSA Technology Services Research team 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. \nMATERIALS\n\nLecture Notes\nGreat Lakes Slurm HPC cluster\nGreat Lakes User Guide\nTwo-page Cheat Sheet\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. \nUSER LOGIN\nIf you already have a Great Lakes user login\, you don’t need to do anything.  Otherwise\, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/ \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \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. \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. \nLAPTOP PREPARATION\nYou will need VPN software to access the U-M network on which Great Lakes is located.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software\, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\nOur Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes. \nPlease prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class. \nA Zoom link will be provided to the participants the day before the class. Registration is required.  Please note this session will be recorded. \n  \nIf you have questions about this workshop\, please send an email to the instructors at hpc-course@umich.edu \nPlease register at https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-6/register/
URL:https://micde.umich.edu/event/introduction-research-computing-on-the-great-lakes-cluster-4-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210621T130000
DTEND;TZID=America/Detroit:20210621T160000
DTSTAMP:20260604T200159
CREATED:20210607T134228Z
LAST-MODIFIED:20210607T134228Z
UID:10000484-1624280400-1624291200@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:OVERVIEW\nThis course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \n​ \nPRE-REQUISITES \nNone. \nINSTRUCTOR \nKenneth Weiss\nIT Project Senior Manager \nHITS Academic IT – HPC team \nKen is a High Performance Computing Consultant with the Health Information Technology & Services (HITS) Academic IT – HPC team 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 will need VPN software to access the U-M network.  If you do not have VPN software already installed\, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to training host. Please use the ‘Campus All traffic’ profile in the Cisco client. \nYou will need an ssh client to connect to the training host. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms: \n\nDownload and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software.  A demonstration of this software will be given during class.  You must have administrative authority over your computer to install this software.\nDownload PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files\,”\, then execute the application.  You do not need administrative authority over your computer to use this software.\n\nDuring class you will be given the name of the training host to be able to participate in the hands-on activities. \nA Zoom link will be provided to the participants the day before the class. Registration is required.  Please note\, this session will be recorded.   \nIf you have questions about this workshop\, please send an email to the instructor at kgweiss@umich.edu \n\nRegister at https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-the-linux-command-line-30/register/
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-27-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210616T153000
DTEND;TZID=America/Detroit:20210616T163000
DTSTAMP:20260604T200159
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000476-1623857400-1623861000@micde.umich.edu
SUMMARY:GIS Fundamentals – Understanding and manipulating elevation data
DESCRIPTION:Elevation data can come in the form of point (e.g. from LiDAR)\, digital elevation model (DEM)\, or triangulated irregular network (TIN). In this workshop we will focus on DEM and TIN. We will learn about each model and related data structure\, their relative strengths\, the kind of information they provide\, and how to obtain downstream derived information. This is a lecture-style workshop and the primary focus will be about understanding the two models. However\, we will also see examples in ArcGIS or QGIS \n\nParticipants should know GIS and be familiar with vector and raster data.
URL:https://micde.umich.edu/event/gis-fundamentals-understanding-and-manipulating-elevation-data/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210615T100000
DTEND;TZID=America/Detroit:20210615T120000
DTSTAMP:20260604T200159
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000480-1623751200-1623758400@micde.umich.edu
SUMMARY:Image Segmentation using Deep Learning with FastAI
DESCRIPTION:Like other image processing problems\, deep learning has brought many effective solutions to the task of image segmentation. This workshop will introduce you to the methods used in image segmentation\, demonstrate how to prepare your own segmentation masks using Matlab\, and guide you through performing image segmentation using the FastAI [fast.ai] Python library\, which is built on the deep learning library PyTorch. Some familiarity with Python is expected\, but no previous experience with FastAI or PyTorch is needed. The workshop will be done online via Zoom. We will run the code using Google Colab (with free-to-use GPUs)\, which requires a Google account.
URL:https://micde.umich.edu/event/image-segmentation-using-deep-learning-with-fastai-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210608T110000
DTEND;TZID=America/Detroit:20210611T170000
DTSTAMP:20260604T200159
CREATED:20230905T171445Z
LAST-MODIFIED:20260401T195616Z
UID:10000473-1623150000-1623430800@micde.umich.edu
SUMMARY:XSEDE HPC HPC Summer Boot Camp
DESCRIPTION:OVERVIEW\nXSEDE\, along with the Pittsburgh Supercomputing Center is pleased to present a Hybrid Computing workshop. \nThis 4 day event will include MPI\, OpenMP\, GPU programming using OpenACC and accelerators. \nThis workshop will be remote to desktop only due to the COVID-19 pandemic.  When the registration has filled\, there will be no more students added due to our current limits. \nQuestions\nPlease address any questions to Tom Maiden at tmaiden@psc.edu.
URL:https://micde.umich.edu/event/xsede-hpc-summer_2021_bootcamp/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210604T153000
DTEND;TZID=America/Detroit:20210604T163000
DTSTAMP:20260604T200159
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000475-1622820600-1622824200@micde.umich.edu
SUMMARY:GIS Fundamentals - Height and Vertical Datum
DESCRIPTION:Understanding how heights are measured and recorded in GIS systems are essential for many applied tasks such as modeling flood risk due to sea level rise. In this workshop we will understand vertical datums\, the concept of height\, and what do terms like orthometric height and ellipsoid height mean. This will be a lecture-style workshop with a focus on conceptual details. \nParticipants should know basic GIS and should be familiar with horizontal datums.
URL:https://micde.umich.edu/event/gis-fundamentals-height-and-vertical-datum/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210604T100000
DTEND;TZID=America/Detroit:20210604T110000
DTSTAMP:20260604T200159
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000483-1622800800-1622804400@micde.umich.edu
SUMMARY:Marc Henry de Frahan Webinar
DESCRIPTION:Title: Leveraging modeling hierarchies in the Exascale era: applications to combustion technologies \nAbstract: As we approach the confluence of widespread use of machine learning techniques and simulations running at exascale\, several important challenges will need to be addressed. In this talk\, we explore some of these challenges\, with a specific focus on combustion applications. We discuss a combustion simulation code\, PeleC\, and its performance characteristics on the fastest supercomputers available today. We look at leveraging the resulting high-fidelity simulations to construct data-driven models for lower-fidelity simulations. We then examine how to adapt reinforcement learning methods to explore a modeling hierarchy and determine adequate control strategies for combustion technologies. \nBio: Marc Henry de Frahan is a computational scientist at the National Renewable Energy Laboratory\, where he works on improving next-generation wind and combustion processes. As part of the Exascale Computing Project\, Marc develops high-fidelity turbulence models to enhance simulation accuracy and efficient numerical algorithms for future high-performance computing hardware architectures. In addition to traditional physics-based modeling\, he is integrating deep neural networks into modeling and reinforcement learning into advanced control strategies. Marc obtained his PhD in Mechanical Engineering in 2016 from the University of Michigan. \n\nZoom information to connect: \nLink: https://umich.zoom.us/j/98133041706 \nPasscode: 762808
URL:https://micde.umich.edu/event/marc-henry-de-frahan-webinar/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,Seminar,Webinar
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/marc-henry-de-frahan.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210526T153000
DTEND;TZID=America/Detroit:20210526T170000
DTSTAMP:20260604T200159
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000474-1622043000-1622048400@micde.umich.edu
SUMMARY:GIS Fundamentals –  Spatial Database\, PostGIS
DESCRIPTION:PostGIS\, built on top of PostgreSQL\, is the most powerful open-source relational database for managing spatial data. In this workshop we will cover the basic concept of spatial databases\, learn about setting PostGIS\, and understand how PostGIS can help us manage large volumes of vector data spread over multiple tables and geometries efficiently.  We will also touch upon topics such as spatial indexing and the capabilities of PostGIS for other data models for 2-D GIS such as the network and raster data model.
URL:https://micde.umich.edu/event/gis-fundamentals-spatial-database-postgis/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210524T130000
DTEND;TZID=America/Detroit:20210524T150000
DTSTAMP:20260604T200159
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000472-1621861200-1621868400@micde.umich.edu
SUMMARY:SRTI: Software For Cross-Language Real-Time Data Communication
DESCRIPTION:Computer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors\, and allow scientists to test different models to guide real-world research. However\, these can be individually complex\, and written in different computer languages and programs. It’s a difficult task to combine simulators from different parts of a research team to represent larger systems. \nThe “Simple Run-Time Infrastructure” is an open-source\, free-to-use software tool\, developed at the University of Michigan. It was built to simplify the process of sharing data between multiple live simulators\, using a “publish/subscribe” model with messages rather than directly to specific programs. This workshop will present the background of the SRTI’s development\, what it is capable of\, and will provide a step-by-step example for participants. \nJava will be required to run the SRTI. The live example will use an optional mixture that includes simulators written in Java\, Matlab\, and Python. \nThis special-track workshop (provided as a “seminar-style”) is open to researchers both inside and outside the University of Michigan. Up to 300 attendees can attend through Zoom.\nWe ask attendees to “register” by filling out the following Google Forms survey. The survey will provide a Zoom link for you to copy into your calendar.\nThe Google Forms survey link is: https://docs.google.com/forms/d/e/1FAIpQLSeMyniPQs7G1iuohuvSAdU4KE64-BQrCgrZRnC6YzxeCLFv7g/viewform?usp=sf_link \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/srti-software-for-cross-language-real-time-data-communication-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210510T130000
DTEND;TZID=America/Detroit:20210510T150000
DTSTAMP:20260604T200159
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000471-1620651600-1620658800@micde.umich.edu
SUMMARY:Software Development For Research: Best Practices for Coding Styles
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. Having a consistent coding style and following basic best practices used in the industry can help make your code easier to read and manage\, both internally in your teams and for public code projects available to other researchers. This workshop will cover some general guidelines and suggestions to clean up your coding style. Attendees will learn helpful tips for computer coding and how to make their code readable to other collaborators. \nRegistrants will receive a Zoom link within 24 hours of event. Please register at least 24 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-best-practices-for-coding-styles-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210507T100000
DTEND;TZID=America/Detroit:20210507T120000
DTSTAMP:20260604T200159
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000467-1620381600-1620388800@micde.umich.edu
SUMMARY:Advanced ML topics: Algorithms\, writing ML code\, comparing implementations
DESCRIPTION:OVERVIEW\n\n\nThis workshop is designed as a follow-up to the basic introduction to machine learning earlier in this series. We will cover several examples in Python and compare different implementations. We will also look at advanced topics in machine learning\, such as GPU optimization\, parallel processing\, and deep learning. A basic understanding of Python is required. \nINSTRUCTORS\nMeghan Richey\nMachine Learning Specialist\nInformation and Technology Services – Advanced Research Computing – Technology Services \nMeghan Richey is a machine learning specialist in the Advanced Research Computing- Technology Services department at the University of Michigan. She consults on several faculty and student machine learning applications and research studies\, specializing in natural language processing and convolutional neural networks. Before her position at the university\, Ms. Richey worked for a defense contractor as a software engineer to design and implement software solutions for DoD-funded artificial intelligence efforts. \n\n\nA Zoom link will be provided to the participants the day before the class. Registration is required. \n\n\nInstructor will be available at the Zoom link\, to be provided\, from 9-10 AM for computer setup assistance. \nPlease note\, this session will be recorded.   \n\nRegister here \nIf you have questions about this workshop\, please send an email to the instructor at richeym@umich.edu
URL:https://micde.umich.edu/event/advanced-ml-topics-algorithms-writing-ml-code-comparing-implementations-2/
LOCATION:Your Desktop
CATEGORIES:Data Science,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210506T090000
DTEND;TZID=America/Detroit:20210506T163000
DTSTAMP:20260604T200159
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000469-1620291600-1620318600@micde.umich.edu
SUMMARY:Computing our way out of a pandemic: modeling in the face of COVID-19
DESCRIPTION:The COVID-19 pandemic has produced massive amounts of information that require an accurate analysis to predict outcomes and design solutions rapidly. It also has required experts from many different backgrounds to rally around in the quest for rapid responses in the race to save lives. \nMany of the most prominent of these researchers are from Michigan\, and a significant number of them are computational scientists who addressed questions such as: What measures should be taken to minimize contagion? Is it safe to ride a bus? How are supply and demand chains being affected? \nThis virtual symposium will bring together researchers from the State of Michigan to share their past and future insights into the pandemic. \n  \n\nView additional event details. \nView event agenda. \nThis is a free Zoom event\, open to the general public. Please register to attend. \n 
URL:https://micde.umich.edu/event/covid-19-modeling-seminar/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Conference,Featured Events,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210414T160000
DTEND;TZID=America/Detroit:20210414T170000
DTSTAMP:20260604T200159
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000470-1618416000-1618419600@micde.umich.edu
SUMMARY:MCAIM Colloquium: Sheperd S. Doeleman\, Harvard University\, Founding Director of the Event Horizon Telescope
DESCRIPTION:Talk Title: Black Hole Imaging: First Results and Future Vision \nAbstract: In April 2017\, the Event Horizon Telescope (EHT) carried out a global Very Long Baseline Interferometry (VLBI) observing campaign at a wavelength of 1mm that led to the first resolved image of a supermas- sive black hole. For the 6.5 billion solar mass black hole in the giant elliptical galaxy M87\, the EHT estimated the spin orientation and constrained models of accretion on Schwarzschild radius scales. This work relied on two decades of technical advances in ultra-high resolution interferometry and theoretical General Relativistic Magnetohydrodynamic (GRMHD) simulations. This talk will review these advances and recent new EHT results. \nWe will also look to the next decade when a next-generation EHT (ngE-HT) that doubles the number of participating radio dishes in the VLBI net-work will enable time-lapse movies of M87 that link the black hole to the relativistic jet it powers. For SgrA*\, the Galactic Center black hole that evolves on time scales 1000 times faster\, ngEHT will produce real-time video. \nBio: Sheperd S. Doeleman is an Astrophysicist at the Center for Astrophysics | Harvard & Smithsonian and Founding Director of the Event Horizon Telescope (EHT)\, a synchronized global array of radio observatories designed to examine the nature of black holes. He is also a Harvard Senior Research Fellow and a Project Co-Leader of Harvard’s recently established Black Hole Initiative (BHI). The BHI is a first-of-its-kind interdisciplinary program at the University that brings together the disciplines of Astronomy\, Physics\, Mathematics\, Philosophy\, and History of Science to define and establish black hole science as a new field of study. \nAs one of the founding members of the BHI\, Doeleman leads a team studying supermassive black holes with sufficient resolution to directly observe the event horizon itself. Using Very Long Baseline Interferometry (VLBI) methods\, the EHT telescope networks observe astronomical radio sources at 1.3 millimeter (mm) wavelengths. These sources include the supermassive black holes at the centers of our own Milky Way\, called Sagittarius A* (SgrA*)\, as well as in Messier 87 (M87)\, the supergiant elliptical galaxy in the constellation Virgo. \nDoeleman is a Guggenheim Fellow (2012) and was the recipient of the DAAD German Academic Exchange grant for research at the Max Planck Institute für Radioastonomie. He serves as a peer reviewer for the Astrophysical Journal\, Science\, and Nature\, among others.  Doeleman leads and co-leads research programs supported by grants from the National Science Foundation\, the National Radio Astronomy Observatory (NRAO) ALMA-NA Development Fund\, the Smithsonian Astrophysical Observatory\, the MIT International Science & Technology Initiatives (MISTI)\, the Gordon and Betty Moore Foundation\, and the John Templeton Foundation. He has taught at MIT and mentors students and post-doctoral fellows at MIT and Harvard. \nDoeleman received his B.A. from Reed College in 1986\, and left soon after for a year in Antarctica where he conducted multiple space-science experiments at McMurdo Station on the Ross Ice Shelf. With an appreciation for the challenges and rewards of instrumental work in difficult circumstances\, he returned to complete a Ph.D. in astrophysics at MIT. After visiting the Max Planck Institute as a recipient of the DAAD\, he came back to MIT in 1995 for a postdoctoral fellowship\, eventually serving as assistant director of the MIT Haystack Observatory. \nDoeleman’s interests focus on problems in astrophysics that require ultra-high resolving power—the ability to observe fine details of cosmic objects. His research employs the technique of Very Long Baseline Interferometry (VLBI)\, in which widely separated radio dishes are combined to form an Earth-sized virtual telescope. He has used this technique to study the atmospheres of dying stars\, as well as stars that are just being born. His group at MIT pioneered development of instrumentation that enables VLBI to achieve the greatest resolving power possible from the surface of the Earth. He carried out the first global experiments using these new systems that successfully measured the size of the supermassive black hole at the center of the Milky Way Galaxy and in the galaxy M87. He now directs the international Event Horizon Telescope project\, whose goal is to image the event horizon of a black hole\, the boundary where gravity is so strong that even light cannot escape. This project addresses several fundamental questions about the Universe: Do event horizons exist? Does Einstein’s theory of gravity hold near a black hole?  How do black holes affect the evolution of galaxies? \n\nJoin Zoom Meeting: https://umich.zoom.us/j/98619190605 \nMeeting ID: 986 1919 0605 \nPasscode: 286704 \nThis event is hosted by the Michigan Center for Applied and Interdisciplinary Mathematics.
URL:https://micde.umich.edu/event/mcaim-colloquium-sheperd-s-doeleman-harvard-university-founding-director-of-the-event-horizon-telescope/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events
ATTACH;FMTTYPE=image/jpeg:https://micde.umich.edu/wp-content/uploads/2023/02/Sheperd-S.-Doeleman.jpg
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DTSTART;TZID=America/Detroit:20210413T100000
DTEND;TZID=America/Detroit:20210413T120000
DTSTAMP:20260604T200159
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000432-1618308000-1618315200@micde.umich.edu
SUMMARY:Object Detection using Deep Learning with TorchVision
DESCRIPTION:Like many image processing problems\, deep learning has brought many effective solutions to the task of object detection. The TorchVision library is part of the PyTorch project\, and it offers well-established and successful methods for object detection (as well as many other problems). This workshop will demonstrate the process of preparing your own image dataset and training it using TorchVision with one of Google Colab’s free-to-use GPUs. The workshop will be done online via Zoom. Some experience with Python is helpful\, but no previous experience with PyTorch is needed. Google Colab requires a Google account (e.g. your umich account).
URL:https://micde.umich.edu/event/object-detection-using-deep-learning-with-torchvision/
LOCATION:Your Desktop
CATEGORIES:Featured Events,Workshops
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210412
DTEND;VALUE=DATE:20210417
DTSTAMP:20260604T200159
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000468-1618185600-1618617599@micde.umich.edu
SUMMARY:NVidia GTC 2021 Conference
DESCRIPTION:NVIDIA has their GTC technical conference April 12-16. It is free to attend and all online so no travel. Making you aware of this opportunity to hear from a global community of developers\, researchers\, engineers\, and innovators who are delivering over a 1000 sessions\, interactive panels\, demos\, and research posters. Registration is now open and the session catalog is published. Register HERE \nKeynote \nYou will want to attend NVIDIA CEO Jensen Huang’s keynote.  Traditionally NVIDIA uses Jensen’s keynote to make important announcements. \n\nKeynote: April 12\, 11:30am-12:30pm Eastern Time\n\nSessions \nSessions ranging from very technical developer and researcher-focused talks\, to business and implementation focused topics from leaders in their field. Below are a few examples of the sessions available at GTC 2021. (abstracts and details in the Session Catalog) \n\nAccelerating Ray Tracing for the IceCube Neutrino Observatory with CUDA\n\nBenedikt Reidel\, Computing Manager\, University of Wisconsin-Madison and IceCube Particle Astrophysics Center \n\nUsing Molecular Simulations to Help Drive Pharmaceutical Drug Discovery\n\nDavid Mobley\, Professor University of California\, Irvine \n\nConvergence of AI and HPC to Solve Grand Challenge Science Problems\n\nRommie Amaro\, Professor University of California\, Irvine \n\nToward a One-Hour Genomic Workup\n\nTychele Turner\, Assistant Professor Washington University in St Louis \n\nGPU-Accelerated Quantum Chemistry and Molecular Dynamics\n\nNVIDIA Engineers \nRegister today\, it only take a minute or two!
URL:https://micde.umich.edu/event/nvidia-gtc-2021-conference/
LOCATION:MI
CATEGORIES:Conference,Featured Events,GPU,High Performance Computing,hpc-events
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DTSTART;TZID=America/Detroit:20210409T140000
DTEND;TZID=America/Detroit:20210409T153000
DTSTAMP:20260604T200159
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000466-1617976800-1617982200@micde.umich.edu
SUMMARY:GIS Fundamentals – (Map visualization - II)
DESCRIPTION:This workshop will further develop the material covered on mapping in the first workshop a few weeks back. We will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality bi-variate static and dynamic choropleth maps. We will also explore the functionalities of leaflet\, a powerful library\, to create web maps and add extra information about more than two variables. \nParticipants should have some familiarity with R\, but exposure to QGIS is not required.
URL:https://micde.umich.edu/event/gis-fundamentals-map-visualization-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210329T150000
DTEND;TZID=America/Detroit:20210329T163000
DTSTAMP:20260604T200159
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000465-1617030000-1617035400@micde.umich.edu
SUMMARY:GIS Fundamentals – (PostGIS-II)
DESCRIPTION:This workshop will further develop the material covered on spatial databases in the first workshop a few weeks back. PostGIS is the most widely used spatial database and is built on top of PostgreSQL\, a powerful open source relational database. The focus of this workshop is to exploit PostGIS to deal with big vector data\, and use familiar tools in R to reduce the burden to learn SQL. \n\nThis is a hands-on workshop. Please make sure that you have PostgreSQL installed along with pgAdmin. \nParticipants should be familiar with vector data processing in R.
URL:https://micde.umich.edu/event/gis-fundamentals-postgis-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
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