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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200930T150000
DTEND;TZID=America/Detroit:20200930T160000
DTSTAMP:20260605T073817
CREATED:20230905T171254Z
LAST-MODIFIED:20230905T171254Z
UID:10000398-1601478000-1601481600@micde.umich.edu
SUMMARY:CoreLogic property data
DESCRIPTION:The University of Michigan library system has licensed a large data set containing real estate transactions\, deeds\, and property tax records for the United States.  The data were collected by the commercial vendor CoreLogic\, and our license allows UM researchers to use the data for research purposes.  These data are of potential interest to researchers in many fields\, as they capture spatial and temporal real estate market conditions\, taxing practices\, and the physical states of millions of residential structures in the US.\n\n \nIn this workshop\, participants will learn to create geographical subsets of the data\, seamlessly integrate it in workflow\, and see examples of research questions where the data can be useful. Participants should know Python and R.
URL:https://micde.umich.edu/event/corelogic-property-data/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200930T130000
DTEND;TZID=America/Detroit:20200930T160000
DTSTAMP:20260605T073817
CREATED:20230905T171254Z
LAST-MODIFIED:20230905T171254Z
UID:10000416-1601470800-1601481600@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.
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster-4/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200930T100000
DTEND;TZID=America/Detroit:20200930T120000
DTSTAMP:20260605T073817
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000392-1601460000-1601467200@micde.umich.edu
SUMMARY:SPSS: Data Management
DESCRIPTION:Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ \nSection 1: Basics of SPSS (9/16\, 10am – 12pm) \nSection 2: Variables (9/23\, 10am – 12pm) \nSection 3: Data Management (9/30\, 10am – 12pm) \nSection 4: Basic Statistical Analysis (10/7\, 10am – 12pm) \nIt is strongly encouraged to have SPSS installed on your machine. If you are accessing SPSS through AppsAnywhere on Virtual Sites\, then you will need to set up a link to your Google Drive\, Box\, or Dropbox storage.
URL:https://micde.umich.edu/event/spss-data-management/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200929T140000
DTEND;TZID=America/Detroit:20200929T163000
DTSTAMP:20260605T073817
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000417-1601388000-1601397000@micde.umich.edu
SUMMARY:Intro to SQL
DESCRIPTION:Ever want to know how to communicate with a database? You need to know SQL\, a standard programming language for working with relational database management systems in data warehouses or just Microsoft Access. This workshop will cover the basic syntax of SQL. Material will focus mainly on how to query databases. A web-based tool will be used for the tutorial.
URL:https://micde.umich.edu/event/intro-to-sql-7/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200929T140000
DTEND;TZID=America/Detroit:20200929T150000
DTSTAMP:20260605T073817
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000409-1601388000-1601391600@micde.umich.edu
SUMMARY:MICDE / Mechanical Engineering Seminar: Sophia Haussener\, Associate Professor\, Laboratory of Renewable Energy Science and Engineering\, EPFL\, Lausanne\, Switzerland
DESCRIPTION:View webinar recording. \nBio: Sophia Haussener is an Associate Professor heading the Laboratory of Renewable Energy Science and Engineering at the Ecole Polytechnique Fédérale de Lausanne (EPFL). Her current research is focused on providing design guidelines for thermal\, thermochemical\, and photoelectrochemical energy conversion reactors through multi-physics modelling. Her research interests include: thermal sciences\, fluid dynamics\, charge transfer\, electro-magnetism\, and thermo/electro/photochemistry in complex multi-phase media on multiple scales. She received her MSc (2007) and PhD (2010) in Mechanical Engineering from ETH Zurich. Between 2011 and 2012\, she was a postdoctoral researcher at the Joint Center of Artificial Photosynthesis (JCAP) and the Energy Environmental Technology Division of the Lawrence Berkeley National Laboratory (LBNL). She has published over 70 articles in peer-reviewed journals and conference proceedings\, and 2 books. She has been awarded the ETH medal (2011)\, the Dimitris N. Chorafas Foundation award (2011)\, the ABB Forschungspreis (2012)\, the Prix Zonta (2015)\, the Global Change Award (2017)\, and the Viskanta Award (2019)\, and is a recipient of a Starting Grant of the Swiss National Science Foundation (2014). She is a deputy leader in the Swiss Competence Center for Energy Research (SCCER) on energy storage and acts as a Member of the Scientific Advisory Council of the Helmholtz Zentrum. \nModelling\, experimentation and scaling of photo-electrochemical fuel processing devices\nThe development of a sustainable energy economy based on renewable\, carbon-neutral energy is a necessary and urgent task. Photo-electrochemical approaches for solar fuels and materials are interesting\, provided they can be efficiently\, stably\, scalably\, and sustainably implemented. The functionality of such devices relies on complicated and coupled multi-physics processes\, occurring at multiple temporal and spatial scales. Device modelling can actively and efficiently support the choice of the most promising – in terms of efficiency\, cost\, robustness\, scalability\, and practicability – conceptual design pathways\, material choices\, and operating approaches. \nFirst\, I focus on cost competitive photo-electrochemical (PEC) devices identified through quasi-transient techno-economic modelling [1]. I will describe the conceptual idea of thermal integration in the context of PEC [2]\, provide results of maximum theoretical efficiency calculations to quantify the benefits\, and review the modelling framework that enabled the design of a feasible device [3]. I will illustrate how we have used our models to design and implement a PEC device with a solar-to-fuel efficiency of 17%\, and discuss ongoing approaches to scale up by our lab in order to bridge the gap between research and practical applications. \nSecond\, I will discuss detailed multi-dimensional mesoscale models that allow to assess the transport in complex (photo)electrodes. Specifically\, we use direct pore-level simulations for the coupled transport characterization of mesostructured (photo)electrodes utilizing nano-tomography techniques to obtain the exact mesostructure that is utilized in direct numerical simulations [4]. I will extend these investigations to ordered structures for the assessment of the transport in mesostructured electrodes for the electorchemical reduction of CO2 and discuss the effect of the mass transport on selectivity and activity [5]. I will then present possibilities to simplify these involved multi-dimensional numerical models into rapid screening models based on semi-analytical correlations. I will discuss analysis results for a large range of semiconductor materials [6\,7]. I will end with an outlook on research challenges and gaps in the field of (photo)electrochemical water and CO2 splitting. \n\nThis seminar is co-hosted by the Michigan Institute for Computational Discovery & Engineering\, and the Mechanical Engineering department within the University of Michigan College of Engineering. Dr. Haussener will be hosted by Rohini Bala Chandran\, Assistant Professor of Mechanical Engineering. \nThe MICDE Fall 2020 and Winter 2021 Seminar Series is open to the general public. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend.  \nQuestions? Email MICDE-events@umich.edu \n\nReferences: \n[1] M. Dumortier\, S. Tembhurne\, S. Haussener\, Energy Environ. Sci. \, 8:3614–3628\, 2015\n[2] S. Tembhurne\, F. Nandjou\, S. Haussener\, Nature Energy\, 10.1038/s41560-019-0373-7\, 2019\n[3] S. Tembhurne\, S. Haussener\, Journal of The Electrochemical Society \, 163:H1008-H1018\, 2016\n[4] S. Suter\, M. Catoni\, Y. Gaudy\, S. Pokrant\, S. Haussener\, Linking Morphology and Multi-Physical Transport in\nStructured Photoelectrodes\, Sustainable Energy & Fuels \, doi: 10.1039/C8SE00215K\, 2018.\n[5] S. Suter\, S. Haussener\, Energy Environmental Science \, doi: 10.1039/C9EE00656G\, 2019.\n[6] Y. Gaudy\, S. Haussener\, Rapid Performance Optimization Method for Photoelectrodes\, Journal of Physical Chemistry\nC\, doi: 10.1021/acs.jpcc.9b04102\, 2019.\n[7] Y. Gaudy\, Z. Gacevic\, Haussener\, Theoretical maximum photogeneration efficiency and performance characterization\nof InxGa1-xN/Si tandem water-splitting photoelectrodes\, APL Materials\, accepted\, 2020.
URL:https://micde.umich.edu/event/micde-mechanical-engineering-seminar-sophia-haussener-associate-professor-laboratory-of-renewable-energy-science-and-engineering-swiss-federal-institute-of-technology-lausanne/
LOCATION:Zoom Event
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2020/09/Sophia-Haussener.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200929T080000
DTEND;TZID=America/Detroit:20200929T170000
DTSTAMP:20260605T073817
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000010-1601366400-1601398800@micde.umich.edu
SUMMARY:The 2020 MICDE Annual Symposium
DESCRIPTION:On September 29\, 2020 the Michigan Institute for Computational Discovery and Engineering will host its 2020 Annual Symposium. In addition to talks by external experts who are driving new fronts in computing\, the Symposium will showcase some of the game-changing research supported by our Catalyst Grants program\, and the workshop on Resilient Cities through Computation organized by MICDE’s Center for Scientific Software Infrastructure and with support from the department of Civil and Environmental Engineering. \nKeynote Speakers\n\nEwa Deelman\nResearch Professor and Research Director\nInformation Sciences Institute\nUniversity of Southern California \n\nIan Foster \nProfessor\, Computer Science\nUniversity of Chicago\nDirector\, Data Science and Learning Division\nArgonne National Laboratory \nA poster competition will be held\, open to post-docs and graduate students. \nMore information will be posted here as it becomes available. Also see https://live-umor-micde.pantheonsite.io/symposium20/
URL:https://micde.umich.edu/event/2020-micde-annual-symposium/
LOCATION:MI
CATEGORIES:Conference,Featured Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200928T170000
DTEND;TZID=America/Detroit:20200928T210000
DTSTAMP:20260605T073817
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000011-1601312400-1601326800@micde.umich.edu
SUMMARY:Student Hackathon: creating a hybrid simulation system using the Simple Run Time Infrastructure Software
DESCRIPTION:The hackathon’s goal is to introduce the Simple Run-Time Infrastructure software toolkit (SRTI) to the participants\, and provide a template project consisting of multiple simulators\, each with a specialized purpose\, relating to a natural-disaster scenario. \nThis is a free event and all students from any school/institution are welcome. You need basic coding skills to participate. \nThe first\, second and third place winners will received monetary prizes of $1000\, $600 and $400. \nThe hacakthon is part of the 2020 MICDE Symposium and is sponsored by MICDE and the Civil and Environmental Engineering department. \nFor more information https://live-umor-micde.pantheonsite.io/symposium20/
URL:https://micde.umich.edu/event/student-hackathon-creating-a-hybrid-simulation-system-using-the-simple-run-time-infrastructure-software/
LOCATION:MI
CATEGORIES:Featured Events,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200924T140000
DTEND;TZID=America/Detroit:20200924T170000
DTSTAMP:20260605T073817
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000410-1600956000-1600966800@micde.umich.edu
SUMMARY:R I: Data Wrangling
DESCRIPTION:This workshop will delve into common data processing and exploration techniques using R. The main focus will be on constructing and manipulating R data objects\, and using packages that enhance and facilitate operations that typically arise when dealing with data\, including faster I/O\, variable creation and manipulation\, and grouped operations\, especially as a prelude to visualization. \nLink: https://m-clark.github.io/data-processing-and-visualization/
URL:https://micde.umich.edu/event/r-i-data-wrangling-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200923T140000
DTEND;TZID=America/Detroit:20200923T170000
DTSTAMP:20260605T073817
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000399-1600869600-1600880400@micde.umich.edu
SUMMARY:Using GPUs with Python
DESCRIPTION:Python is the Lingua Franca of Data today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on GPUs. The primary tools\, Numba and CuPy\, are presented with examples. This workshop is presented by Kristopher Keipert of NVIDIA. \nThis event is open to students\, faculty\, and staff within the University of Michigan community. A Jupyter notebook is used along with a set of lecture slides. The workshop will use online tools\, so there is no need to install any software ahead of time. \n  \nThis event is brought to you by the Michigan Institute for Computational Discovery and Engineering\, and Consulting for Statistics\, Computing & Analytics Research at the University of Michigan in partnership with NVIDIA. \nRegistration for this event has closed.
URL:https://micde.umich.edu/event/using-gpus-with-python-workshop-by-nvidia/
LOCATION:Zoom Event
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200923T140000
DTEND;TZID=America/Detroit:20200923T170000
DTSTAMP:20260605T073817
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000013-1600869600-1600880400@micde.umich.edu
SUMMARY:Using GPUs with Python
DESCRIPTION:Python is the Lingua Franca of Data today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on GPUs. The primary tools\, Numba and CuPy\, are presented with examples. A Jupyter notebook is used along with a set of lecture slides. \nThe workshop will use online tools\, so there is no need to install any software ahead of time.
URL:https://micde.umich.edu/event/using-gpus-with-python/
LOCATION:Your Desktop
CATEGORIES:Workshops
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/NVIDIA-Workshops-Twitter-Events-Images-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200923T100000
DTEND;TZID=America/Detroit:20200923T120000
DTSTAMP:20260605T073817
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000391-1600855200-1600862400@micde.umich.edu
SUMMARY:SPSS: Variables
DESCRIPTION:Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ \nSection 1: Basics of SPSS (9/16\, 10am – 12pm) \nSection 2: Variables (9/23\, 10am – 12pm) \nSection 3: Data Management (9/30\, 10am – 12pm) \nSection 4: Basic Statistical Analysis (10/7\, 10am – 12pm) \nIt is strongly encouraged to have SPSS installed on your machine. If you are accessing SPSS through AppsAnywhere on Virtual Sites\, then you will need to set up a link to your Google Drive\, Box\, or Dropbox storage.
URL:https://micde.umich.edu/event/spss-variables/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200922T130000
DTEND;TZID=America/Detroit:20200922T160000
DTSTAMP:20260605T073817
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000411-1600779600-1600790400@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \n​ \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.   \nInstructor will be available at the Zoom link\, to be provided\, from 12-1 PM for computer setup assistance. \n\nIf you have questions about this workshop\, please send an email to the instructor at kgweiss@umich.edu
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-24/
LOCATION:Your Desktop
CATEGORIES:hpc-events,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200922T100000
DTEND;TZID=America/Detroit:20200922T120000
DTSTAMP:20260605T073817
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000383-1600768800-1600776000@micde.umich.edu
SUMMARY:Introduction to Python's NumPy library
DESCRIPTION:This workshop will introduce you to the NumPy library in Python\, which is useful in scientific computing. We will cover NumPy’s n-dimensional array object and associated functions in depth\, along with related linear algebra and random number capabilities. Some familiarity with Python is expected. The workshop will be done online via BlueJeans. We will run the code using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-pythons-numpy-library-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200917T133000
DTEND;TZID=America/Detroit:20200917T160000
DTSTAMP:20260605T073817
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000394-1600349400-1600358400@micde.umich.edu
SUMMARY:Introduction to QGIS
DESCRIPTION:This workshop will provide a gentle introduction to GIS concepts and implementation in QGIS. We will cover introductory GIS concepts and will explore the functionalities of QGIS for manipulating and analyzing vector GIS data. The workshop will be especially useful for participants with little or no exposure to GIS. Participants will also learn to generate production quality maps.  No familiarity with QGIS is required. \nThis workshop is virtual. The presenter will be in touch with more information after you register.
URL:https://micde.umich.edu/event/introduction-to-qgis/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200916T100000
DTEND;TZID=America/Detroit:20200916T120000
DTSTAMP:20260605T073817
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000390-1600250400-1600257600@micde.umich.edu
SUMMARY:Basics of SPSS
DESCRIPTION:Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ \nSection 1: Basics of SPSS (9/16\, 10am – 12pm) \nSection 2: Variables (9/23\, 10am – 12pm) \nSection 3: Data Management (9/30\, 10am – 12pm) \nSection 4: Basic Statistical Analysis (10/7\, 10am – 12pm) \nIt is strongly encouraged to have SPSS installed on your machine. If you are accessing SPSS through AppsAnywhere on Virtual Sites\, then you will need to set up a link to your Google Drive\, Box\, or Dropbox storage.
URL:https://micde.umich.edu/event/basics-of-spss/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200909T130000
DTEND;TZID=America/Detroit:20200909T140000
DTSTAMP:20260605T073817
CREATED:20230905T171250Z
LAST-MODIFIED:20260401T200546Z
UID:10000397-1599656400-1599660000@micde.umich.edu
SUMMARY:Testing and Code Review Practices in Research Software Development Webinar
DESCRIPTION: MICDE’s Center for Scientific Software Infrastructure encourages you to check out this webinar! \nThis webinar is part of the HPC Best Practices webinar series. This series address issues faced by developers of computational science and engineering (CSE) software on high-performance computers  (HPC). \nSoftware quality in a research context is essential because research software is used in mission-critical situations\, decision making\, and computation of evidence for research publications. This webinar will cover the use of two software quality practices in the development of research software: software testing and peer code review. These practices in software development can lead to both improved scientific results through higher quality software in the short term and more maintainable software in the long term. While these practices are essential for any type of software\, developers of research software typically do not use peer code review and software testing as frequently as they could for maximum impact. \nThe presenter\, California Polytechnic State University Assistant Professor Nasir Eisty\, will discuss the motivation\, challenges\, barriers\, and necessary improvements to make the practices effective for research software development\, based on studies of the research software community conducted via interviews\, surveys\, workshops\, and tutorials. \nParticipation is free and open to the public\, however registration is required for each event. This series is designed for HPC software developers who are seeking help in increasing their team’s productivity\, as well as facility staff who interact extensively with users. \nThese webinars have been organized by the IDEAS project in collaboration with the DOE/ASCR computing facilities (ALCF\, NERSC\, and OLCF)\, and the Exascale Computing Project (ECP).
URL:https://micde.umich.edu/event/testing-and-code-review-practices-in-research-software-development-webinar/
LOCATION:Zoom Event
CATEGORIES:Featured Events,Workshops
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/Testing-and-Code-Review-Practices-in-Research-Software-Development-Webinar.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200820T160000
DTEND;TZID=America/Detroit:20200820T170000
DTSTAMP:20260605T073817
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000288-1597939200-1597942800@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:4:00 p.m. E.D.T. / 8:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\n\nView the presentation from this event here. A video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-august20/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Education,Info Session
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/Graduate-Studies-in-Computational-Data-Sciences-Info-Sessions.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200819T140000
DTEND;TZID=America/Detroit:20200819T160000
DTSTAMP:20260605T073817
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000387-1597845600-1597852800@micde.umich.edu
SUMMARY:Building Better Data-Driven Products
DESCRIPTION:This workshop will introduce participants to using R for presenting data-driven results\, with an eye toward reproducible methods. After an introduction to concepts related to reproducible programming and research\, demonstrations of standard R markdown as well as overviews of different formats will be provided\, including exercises. \nPrereq:  Some basic experience using R is required. \nLink: http://m-clark.github.io/data-processing-and-visualization/ \n\n\n\n 
URL:https://micde.umich.edu/event/building-better-data-driven-products/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200818T140000
DTEND;TZID=America/Detroit:20200818T163000
DTSTAMP:20260605T073817
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000371-1597759200-1597768200@micde.umich.edu
SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:A BlueJeans link will be sent to all registered participants.\n\nDeep 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.\n\nThe workshop will be done online via BlueJeans. 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-7/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200804T080000
DTEND;TZID=America/Detroit:20200804T090000
DTSTAMP:20260605T073817
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000290-1596528000-1596531600@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:8:00 a.m. E.D.T. / 12:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\n\nView the presentation from the information session here. The video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-august4/
LOCATION:Zoom Webinar
CATEGORIES:Education,Info Session
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200730T080000
DTEND;TZID=America/Detroit:20200730T090000
DTSTAMP:20260605T073817
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000289-1596096000-1596099600@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:8:00 a.m. E.D.T. / 12:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\n\nView the presentation from the information session here. A video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-july30/
LOCATION:Zoom Webinar
CATEGORIES:Education,Info Session
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200728T100000
DTEND;TZID=America/Detroit:20200728T160000
DTSTAMP:20260605T073817
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000382-1595930400-1595952000@micde.umich.edu
SUMMARY:Virtual Workshop on Redundancy in Bridges for Risk Mitigation in a Multi-Hazard Environment
DESCRIPTION:This workshop will be held over two days (July 21 & July 28). A link will be sent to all registered participants\, registration is required. \nRecent collapse of several bridges\, such as the I-35 truss bridge in Minneapolis in 2007\, Ponte Morandi cable stayed bridge in Genoa\, Italy\, in 2018\, Florida International University Pedestrian Bridge in 2018 and Nanfang’ao steel single-arch bridge in Taiwan in 2019\, have highlighted the importance of the role of redundancy in the safety of bridges. \nThe purpose of this virtual workshop is to identify needs and gaps in the current state-of-the-art / practice on different aspects of redundancy\, which is defined as “the quality of a bridge that enables it to perform its design function in the damaged state”. The commentary of the AASHTO LRFD Bridge Design Specification (C.1.3.2.1) notes that the current approach of incorporating redundancy in bridge design is “arbitrary” and “subjective”.  The use of redundancy as a means for hazard mitigation in the event of loss of a critical member has also not been explored in the current framework.  Current simulation technology has advanced to the point where it can be used for assessing the effect of member criticality on the overall system collapse response.  This approach is more rational and objective for assessing redundancy in critical and important bridges\, but particularly for long-span bridges which are critical assets. There is therefore an urgent need for an open forum discussion through a workshop for assessing the current framework on redundancy and identifying the gaps and challenges\, and future research priorities. \nCheck out breakout session 3: “Current simulation technology during the design process” led by Dr. Mohammed Ettouney
URL:https://micde.umich.edu/event/virtual-workshop-on-redundancy-in-bridges-for-risk-mitigation-in-a-multi-hazard-environment-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200724T140000
DTEND;TZID=America/Detroit:20200724T160000
DTSTAMP:20260605T073817
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000379-1595599200-1595606400@micde.umich.edu
SUMMARY:Geostatistics – II
DESCRIPTION:In many situations\, we observe a process over a limited number of locations and are interested in estimating its values at nearby unsampled locations. Geostatistical methods provide a powerful tool to do this. In this session\, we will build upon the material and intuitions covered in the first workshop. We will focus on the principles\, application\, and interpretation of results using R\, and will cover topics such as variogram modeling\, empirical variogram\, estimation techniques\, and prediction uncertainty. \n\nYou should be familiar with R and the basic concepts of GIS data\, should have taken an introductory course in statistics\, and know the basics of linear algebra.
URL:https://micde.umich.edu/event/geostatistics-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200721T100000
DTEND;TZID=America/Detroit:20200721T160000
DTSTAMP:20260605T073817
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000381-1595325600-1595347200@micde.umich.edu
SUMMARY:Virtual Workshop on Redundancy in Bridges for Risk Mitigation in a Multi-Hazard Environment
DESCRIPTION:This workshop will be held over two days (July 21 & July 28). A link will be sent to all registered participants\, registration is required. \nRecent collapse of several bridges\, such as the I-35 truss bridge in Minneapolis in 2007\, Ponte Morandi cable stayed bridge in Genoa\, Italy\, in 2018\, Florida International University Pedestrian Bridge in 2018 and Nanfang’ao steel single-arch bridge in Taiwan in 2019\, have highlighted the importance of the role of redundancy in the safety of bridges. \nThe purpose of this virtual workshop is to identify needs and gaps in the current state-of-the-art / practice on different aspects of redundancy\, which is defined as “the quality of a bridge that enables it to perform its design function in the damaged state”. The commentary of the AASHTO LRFD Bridge Design Specification (C.1.3.2.1) notes that the current approach of incorporating redundancy in bridge design is “arbitrary” and “subjective”.  The use of redundancy as a means for hazard mitigation in the event of loss of a critical member has also not been explored in the current framework.  Current simulation technology has advanced to the point where it can be used for assessing the effect of member criticality on the overall system collapse response.  This approach is more rational and objective for assessing redundancy in critical and important bridges\, but particularly for long-span bridges which are critical assets. There is therefore an urgent need for an open forum discussion through a workshop for assessing the current framework on redundancy and identifying the gaps and challenges\, and future research priorities. \nCheck out breakout session 3: “Current simulation technology during the design process” led by Dr. Mohammed Ettouney
URL:https://micde.umich.edu/event/virtual-workshop-on-redundancy-in-bridges-for-risk-mitigation-in-a-multi-hazard-environment/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200720T130000
DTEND;TZID=America/Detroit:20200720T160000
DTSTAMP:20260605T073817
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000367-1595250000-1595260800@micde.umich.edu
SUMMARY:Wear OS: Creating A Watchface For Your Android Smartwatch
DESCRIPTION:A BlueJeans link will be sent to all registered participants. \nSmartwatches are multi-functional devices that can be worn on the wrist. They can read your heartbeat\, notify you of messages from your phone\, and can even tell the time! Google’s “Wear OS” is a branch of the Android mobile operating system\, and it encourages open app development. \nThis is the first of two workshops to introduce programming for a Wear OS watch. This will introduce some of the functions of a smartwatch\, through the programming and design of a new watchface. Participants will learn how to design a custom watchface using Java and Android Studio\, with a step-by-step example.
URL:https://micde.umich.edu/event/wear-os-creating-a-watchface-for-your-android-smartwatch/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200715T140000
DTEND;TZID=America/Detroit:20200715T160000
DTSTAMP:20260605T073817
CREATED:20230905T171251Z
LAST-MODIFIED:20260401T202047Z
UID:10000380-1594821600-1594828800@micde.umich.edu
SUMMARY:Efficient Data Exploration
DESCRIPTION:Tired of using `table` and `summary`?  Or repeatedly using a `group_by %>% summarise` approach?  Many are still using R inefficiently to summarize data\, especially for presentation. However\, data needs to be explored before modeling can take place\, both to familiarize oneself with the strengths and limitations of the data\, as well as to diagnose errors or spot potential problems that might arise.  So how can we do this sort of thing better?\n\nThis workshop will demonstrate the capabilities of several packages that might be of interest to those seeking a more automatic way to summarize their data before analysis\, or simply to share with others.
URL:https://micde.umich.edu/event/efficient-data-exploration/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200714T140000
DTEND;TZID=America/Detroit:20200714T163000
DTSTAMP:20260605T073817
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000370-1594735200-1594744200@micde.umich.edu
SUMMARY:Introduction to Python's NumPy library
DESCRIPTION:A BlueJeans link will be sent to all registered participants.\n\nThis workshop will introduce you to the NumPy library in Python\, which is useful in scientific computing. We will cover NumPy’s n-dimensional array object and associated functions in depth\, along with related linear algebra and random number capabilities. Some familiarity with Python is expected. \nThe workshop will be done online via BlueJeans. We will run the code using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-pythons-numpy-library-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200706T140000
DTEND;TZID=America/Detroit:20200706T160000
DTSTAMP:20260605T073817
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000378-1594044000-1594051200@micde.umich.edu
SUMMARY:Mapping tools for COVID-19 data – II
DESCRIPTION:This is the second workshop in this series and will build on the material and the techniques covered in the first workshop. We will use COVID-19 data available here https://github.com/nytimes/covid-19-data\, combine it with other data such as from Census and will learn about creating maps\, including web maps\, that involve more than one variable. \n\nWe will use R and QGIS. You should know the basics of vector data GIS and introductory techniques of classification and clustering\, be a regular R user\, and should have some familiarity with QGIS.
URL:https://micde.umich.edu/event/mapping-tools-for-covid-19-data-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200622T080000
DTEND;TZID=America/Detroit:20200622T170000
DTSTAMP:20260605T073817
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000012-1592812800-1592845200@micde.umich.edu
SUMMARY:CAsToR Webinar:
DESCRIPTION:
URL:https://micde.umich.edu/event/__trashed-2/
LOCATION:MI
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200616T140000
DTEND;TZID=America/Detroit:20200616T163000
DTSTAMP:20260605T073817
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000369-1592316000-1592325000@micde.umich.edu
SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:A BlueJeans link will be sent to all registered participants. \nDeep 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. \nThe workshop will be done online via BlueJeans. 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-6/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
END:VCALENDAR