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DTSTART;TZID=America/Detroit:20211129T110000
DTEND;TZID=America/Detroit:20211129T123000
DTSTAMP:20260604T144422
CREATED:20211104T152416Z
LAST-MODIFIED:20230217T195758Z
UID:10000539-1638183600-1638189000@micde.umich.edu
SUMMARY:Introduction to Google Earth Engine - II
DESCRIPTION:Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. The instant availability of data\, massive compute power\, and well-developed API make it a very convenient and powerful platform for geospatial analysis. \nGEE provides native APIs in JavaScript and Python. However\, recently the user community has developed a package “rgee (https://github.com/r-spatial/rgee)” that allows R users to interact with GEE (via reticulate and Python) and utilize its functionalities. \nThis workshop will focus on using R (the “rgee” package) to interface with GEE and utilize its power for ultra-fast geospatial analysis. You should attend the first workshop on November 18\, if you are new to GEE. \nSome familiarity with remote sensing and GIS\, and exposure to raster and vector data analysis will be helpful.  You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine. Please use your UM email account to register.
URL:https://micde.umich.edu/event/introduction-to-google-earth-engine-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211118T140000
DTEND;TZID=America/Detroit:20211118T153000
DTSTAMP:20260604T144422
CREATED:20211104T161931Z
LAST-MODIFIED:20230217T195758Z
UID:10000538-1637244000-1637249400@micde.umich.edu
SUMMARY:Introduction to Google Earth Engine - I
DESCRIPTION:Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. The instant availability of data\, massive compute power\, and well-developed API make it a very convenient and powerful platform for geospatial analysis. \nGEE provides native APIs in JavaScript and Python. However\, recently the user community has developed a package “rgee (https://github.com/r-spatial/rgee)” that allows R users to interact with GEE (via reticulate and Python) and utilize its functionalities. \nThe two hands-on workshops will introduce GEE and show how to leverage its capacity for spatiotemporal analysis and visualization in R. The first workshop (November 18) is an introduction to GEE and we will primarily use JavaScript API to learn the basics of GEE. The second workshop (November 22) will focus on using R (the “rgee” package) to interface with GEE and utilize its power for ultra-fast geospatial analysis. \nSome familiarity with remote sensing and GIS\, and exposure to raster and vector data analysis will be helpful.  You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine. Please use your UM email account to register.
URL:https://micde.umich.edu/event/introduction-to-google-earth-engine-i/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211115T130000
DTEND;TZID=America/Detroit:20211115T160000
DTSTAMP:20260604T144422
CREATED:20210805T231101Z
LAST-MODIFIED:20230217T195732Z
UID:10000505-1636981200-1636992000@micde.umich.edu
SUMMARY:3D Visualization Software: Advanced Graphics Optimization with Unity3D and C# (Part 3)
DESCRIPTION:This is part of a series of workshops covering 3D game engines and animation software for research and data visualization. Registration to all parts of this series is not required\, but each workshop will expect a different level of experience\, which will be acquired if the viewer attends all events. \nModern 3D game engines and computer hardware can render convincing graphics\, rivaling that of pre-rendered 3D animations. But video games still require special optimization techniques and tricks. This relates directly to the perceived capabilities for data visualization and serious applications: we can generate and render thousands of interactive objects in a game engine. But what about millions? \nThis workshop will go over different techniques to render as many objects as possible at once in Unity3D\, with the context of visualizing data as a point-cloud. Examples will include (but not be limited to) GPU Instancing\, Unity’s Particle System\, and Compute Shaders. It is strongly recommended that attendees be familiar with Unity3D prior to this workshop to get the most out of the session. The examples shown will be provided to registered users to try with a installation of Unity3D (if trying on your own machine\, you will need to install Unity3D in advance). \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/3d-visualization-software-advanced-graphics-optimization-with-unity3d-and-c-part-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211108T130000
DTEND;TZID=America/Detroit:20211108T160000
DTSTAMP:20260604T144422
CREATED:20210805T230234Z
LAST-MODIFIED:20230217T195731Z
UID:10000504-1636376400-1636387200@micde.umich.edu
SUMMARY:3D Visualization Software: Introduction to Blender3D and Python
DESCRIPTION:This is part of a series of workshops covering 3D game engines and animation software for research and data visualization. Registration to all parts of this series is not required\, but each workshop will expect a different level of experience\, which will be acquired if the viewer attends all events. \nBlender3D is a popular free and open-source alternative to industry-standard software\, to create high-quality 3D models and export 3D animations. In recent years\, it’s received financial backing from important industry leaders\, and is more advanced than ever. In addition to film and video games\, Blender3D can be used to create models for 3D printing\, virtual and augmented reality\, and even data visualization\, thanks in part to its open-source nature\, support for a variety of industry-standard file formats\, and support for Python scripting to automate tasks and customize tools. \nIn this workshop\, we’ll introduce the Blender interface and use Blender and Python to programmitcally generate a large 3D mesh from a dataset. Users will become familiar with the basic functions of the software\, and will become comfortable to learn more and use it for high-quality data visualizations. \nA basic familiarity with any computer programming language (Python will be used during the session) is recommended to get the most out of the workshop. To take part\, users will be responsible to use their own laptop with Blender3D (available for Windows\, Macintosh and Linux) pre-installed. Additional project files will be provided to registered users ahead of the workshop date. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/3d-visualization-software-introduction-to-blender3d-and-python/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211104T140000
DTEND;TZID=America/Detroit:20211104T160000
DTSTAMP:20260604T144422
CREATED:20210819T173139Z
LAST-MODIFIED:20230217T195740Z
UID:10000517-1636034400-1636041600@micde.umich.edu
SUMMARY:Improving the performance of scientific software\, or "Do I really need to learn C++?"
DESCRIPTION:This is a continuation of the workshop “Introduction to performance analysis of scientific software“.  Now\, we know how to measure overall performance of our software and can make a good guess of the main performance bottleneck.  How can we improve the performance?  Do we really need to rewrite the whole program in a different language?  In this workshop\, we will observe and discuss various methods of performance improvement\, such as using optimized libraries\, multi-language development\, and choosing appropriate algorithms.  In the end\, you will know how to leverage the power of better algorithms and closer-to-metal languages to improve the performance of your software without a total rewrite or hardware upgrades. \nIt is recommended to attend “Introduction to performance analysis of scientific software” workshop prior to this one.  Participants are expected to know the basics of programming in some (any!) programming language. Some familiarity with the Unix command line and Python language would be helpful\, but is not required. If you wish to follow hands-on demonstrations\, you will need to use your own computer and have a UMich account.
URL:https://micde.umich.edu/event/improving-the-performance-of-scientific-software-or-do-i-really-need-to-learn-c/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211104T120000
DTEND;TZID=America/Detroit:20211104T130000
DTSTAMP:20260604T144422
CREATED:20210923T030754Z
LAST-MODIFIED:20230713T171653Z
UID:10000524-1636027200-1636030800@micde.umich.edu
SUMMARY:MICDE / SPH: Laura Matrajt\, Staff Scientist\, Vaccine and Infectious Disease Division\, Fred Hutch
DESCRIPTION:Bio: Dr. Matrajt is a Staff Scientist in the Vaccine and Infectious Disease Division at the Fred Hutch research center in Seattle. She is an applied mathematician passionate about utilizing quantitative tools (mathematical and computer models\, statistics\, optimization theory) to understand complex biological processes. Her research lies at the interface of applied mathematics\, biology and public health policy. Dr. Matrajt uses a wide range of tools from applied mathematics including dynamical systems\, differential equations\, stochastic processes\, operations research and optimization theory to forward our understanding of infectious disease dynamics. \nDr. Matrajt was born and raised in Mexico City\, Mexico. She attended UNAM\, where she studied Mathematics as an undergraduate. Dr. Matrajt moved to Seattle\, WA\, where she completed a PhD in the Applied Mathematics Department at the University of Washington\, where she graduated in 2011. \nOptimizing COVID-19 vaccine allocation\nVaccines have proven to be our best tool to control the current COVID-19 pandemic. However\, due to limited vaccine supply\, vaccine prioritization has been\, and continues to be\, unavoidable. In this talk\, I will discuss two projects that used mathematical modeling combined with a fast optimization algorithm to determine the optimal use of these precious resources. In the first one\, we determined who should be vaccinated first\, and showed that the optimal use of COVID-19 vaccine depends on vaccine efficacy and vaccination coverage. In the second project we considered who should be vaccinated and how many doses they should get\, and found that optimal allocation strategies with one or two doses of vaccine depend on the efficacy after the first dose\, the background viral transmission and the amount of vaccine available. \n\nWATCH THE RECORDING HERE. \n\nThe MICDE Fall 2021 Seminar Series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery (MICDE) and the department of Epidemiology within the School of Public Health at the University of Michigan. Dr. Matrajt will be hosted by Dr. Rafael Meza\, Professor of Epidemiology and Global Public Health. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/micde-sph-laura-matrajt-ph-d-scientist-vaccine-and-infectious-disease-division-fred-hutchinson-cancer-research-center/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2021/09/Laura-Matrajt.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211029T130000
DTEND;TZID=America/Detroit:20211029T143000
DTSTAMP:20260604T144422
CREATED:20210923T203358Z
LAST-MODIFIED:20210923T203358Z
UID:10000531-1635512400-1635517800@micde.umich.edu
SUMMARY:Introduction to Stata: Data Manipulation
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/25\, 1-2:30) \nSection 2: Data Management – The basics of maintaining and exploring a data set. (10/27\, 1-2:30) \nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/29\, 1-2:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-data-manipulation-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211028T160000
DTEND;TZID=America/Detroit:20211028T170000
DTSTAMP:20260604T144422
CREATED:20211021T140003Z
LAST-MODIFIED:20230217T195900Z
UID:10000547-1635436800-1635440400@micde.umich.edu
SUMMARY:PhD Seminar: Christiana Mavroyiakoumou and Vishwas Goel
DESCRIPTION:Register via Zoom to immediately receive login information. Note: You may register and join after the event has started. \n\nThe Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speakers:\n\nCHRISTIANA MAVROYIAKOUMOU\, PhD Candidate\, Applied and Interdisciplinary Mathematics\, and Scientific Computing\nBio: Christiana Mavroyiakoumou is a 5th year PhD candidate in Applied and Interdisciplinary Mathematics\, working on extensible membrane flutter in inviscid flow using theoretical and computational tools. Her advisor is Professor Silas Alben at the Department of Mathematics. \nDYNAMICS OF TETHERED MEMBRANES IN INVISCID FLOW: We study the dynamics of membranes (with stretching stiffness but zero bending stiffness) that shed vortex wakes in inviscid flows. Previous studies have focused on membranes with fixed ends\, where only static deflection occurs. Here we consider instead membranes held by tethers with hinged ends\, and find that a variety of unsteady large-amplitude motions\, both periodic and chaotic\, may occur. We characterize the dynamics over ranges of the key parameters: membrane mass density\, stretching stiffness\, pretension\, and tether length. We find the region of instability and the small-amplitude behavior in a linearized model by solving a nonlinear eigenvalue problem. We also derive asymptotic scaling laws by considering a simplified model: an infinite periodic membrane. We find qualitative similarities among all three models in terms of the oscillation frequencies and membrane shapes at small and large values of the parameters. \nVISHWAS GOEL\, PhD Candidate\, MATERIALS SCIENCE AND ENGINEERING\, and Scientific Computing\nBio: I am a 4th Ph.D. student in the Department of Materials Science and Engineering. My research is focused on multi-scale modeling of electrochemical processes such as energy storage\, energy conversion\, and corrosion. \nMODELING BASED OPTIMIZATION OF HOLE ARCHITECTURE FOR ENABLING FAST CHARGING IN LI-ION BATTERIES: For the widespread adoption of electric vehicles\, we need Li-ion batteries (LIBs) that are energy and power dense. However\, we cannot realize both these properties even in state-of-the-art commercial Li-ion batteries. This inability is caused by the electrode design used in LIBs. In such a design\, to increase the energy density\, one needs to increase the active material loading (either in terms of active material mass fraction or the electrode thickness). However\, such a design proves to be highly tortuous for the transport of Li-ions in the electrolyte\, which causes the electrode to exhibit poor fast charging performance. \nIn our previous work [1]\, we demonstrated that the rate performance of the energy-dense electrodes can be improved by employing 3D architectures such as highly ordered laser-patterned electrodes (HOLE). The architecture alleviates the electrolyte mass transport limitations by providing rapid mass transport via laser-ablated channels through the electrode thickness. In this study\, we investigate how the geometric parameters of the HOLE design\, such as inter-channel spacing and channel radius\, affect the fast-charging performance of the HOLE graphite anodes with > 3 mAh/cm2 loading. We conduct this analysis using a fully parameterized continuum scale model based on the porous electrode theory. Our results show that for a constant volume retained (after the laser ablation)\, the smaller and closer channels exhibit better 4C charging performance than the larger and farther channels. \n1. K.-H. Chen et al.\, J. Power Sources\, 471\, 228475 (2020) doi.org/10.1016/j.jpowsour.2020.228475 \n\n  \nThis event is part of MICDE’s Fall 2021 seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-christiana-mavroyiakoumou-and-vishwas-goel-2/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Featured Events,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211028T150000
DTEND;TZID=America/Detroit:20211028T163000
DTSTAMP:20260604T144422
CREATED:20210901T153513Z
LAST-MODIFIED:20230217T195741Z
UID:10000521-1635433200-1635438600@micde.umich.edu
SUMMARY:GIS and Spatial Analysis Fundamentals – IV (Map visualization)
DESCRIPTION:This is the fourth workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications\, but we will also touch upon the technical aspects. Most workshops will have at least one hands-on exercise. Typically\, each workshop is divided into one hour of lecture-style presentation and half an hour of hands-on exercises. Unless mentioned otherwise\, we will use R and/or QGIS. \n  \nThis workshop will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality single- and bi-variate static and dynamic choropleth map. We will also explore the functionalities of leaflet\, a powerful JavaScript library\, to create web maps and add extra information via elements such as pop-ups. \n  \nParticipants should have some familiarity with R\, but exposure to QGIS is not required.
URL:https://micde.umich.edu/event/gis-and-spatial-analysis-fundamentals-iv-map-visualization/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211027T130000
DTEND;TZID=America/Detroit:20211027T143000
DTSTAMP:20260604T144422
CREATED:20210923T202754Z
LAST-MODIFIED:20210923T202754Z
UID:10000528-1635339600-1635345000@micde.umich.edu
SUMMARY:Introduction to Stata: Data Management
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/25\, 1-2:30) \nSection 2: Data Management – The basics of maintaining and exploring a data set. (10/27\, 1-2:30) \nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/29\, 1-2:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-data-management-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211025T130000
DTEND;TZID=America/Detroit:20211025T143000
DTSTAMP:20260604T144422
CREATED:20210923T202207Z
LAST-MODIFIED:20210923T202207Z
UID:10000527-1635166800-1635172200@micde.umich.edu
SUMMARY:Introduction to Stata: The Basics of Stata
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (2/22 2-3:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (2/24 2-3:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (2/26 2-3:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-the-basics-of-stata-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211022T130000
DTEND;TZID=America/Detroit:20211022T160000
DTSTAMP:20260604T144422
CREATED:20210930T201551Z
LAST-MODIFIED:20210930T201551Z
UID:10000532-1634907600-1634918400@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. \n\nTo register and view more details\, please refer to the linked TTC page.
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster-7-2-2-2-3/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211021T130000
DTEND;TZID=America/Detroit:20211021T160000
DTSTAMP:20260604T144422
CREATED:20210930T201413Z
LAST-MODIFIED:20210930T201413Z
UID:10000534-1634821200-1634832000@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. \nTo register and view more details\, please refer to the linked TTC page.
URL:https://micde.umich.edu/event/introduction-research-computing-on-the-great-lakes-cluster-4-2-2-2-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211020T130000
DTEND;TZID=America/Detroit:20211020T160000
DTSTAMP:20260604T144422
CREATED:20210930T200940Z
LAST-MODIFIED:20210930T200940Z
UID:10000535-1634734800-1634745600@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  \nTo register and view more details\, please refer to the linked TTC page
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-27-2-2-2-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211020T100000
DTEND;TZID=America/Detroit:20211020T113000
DTSTAMP:20260604T144422
CREATED:20211001T162623Z
LAST-MODIFIED:20230217T195752Z
UID:10000533-1634724000-1634729400@micde.umich.edu
SUMMARY:Getting Started with the Python Multiprocessing Package
DESCRIPTION:OVERVIEW\nThis workshop will provide a gentle introduction to using the multiprocessing package in Python for parallelizing and speeding up code. We will use hands-on programming exercises to demonstrate how to quickly get started with commonly used components of the multiprocessing package. Note that a Great Lakes account is optional for this workshop\, but you must have an account before the start of the workshop if you wish to use Great Lakes. See below for account request information. If you do not wish to use Great Lakes\, you must have python installed on your computer before the start of the workshop. \nINSTRUCTOR\nArmand Burks\nResearch Data Scientist Intermediate\nInformation and Technology Services – Advanced Research Computing \nArmand Burks\, Ph.D.\, is a research data scientist intermediate for Advanced Research Computing – Technology Services (ARC-TS)\, a division of Information and Technology Services (ITS). Armand helps researchers with establishing data workflows\, transforming data between different formats\, programming support\, optimizing/parallelizing code\, cloud computing with Hadoop\, and developing custom code (C++\, Java\, Python). He earned a B.S. in computer science from Alabama State University in 2008\, an M.S. in computer science and engineering from Michigan State University in 2010\, and a Ph.D. in computer science from Michigan State University in 2017. \nMATERIALS\nPrerequisites: Familiarity with connecting to the Great Lakes cluster via SSH/PuTTY and UMVPN\, Basic Linux command line familiarity\, basic programming experience in Python\, and an understanding of loops and basic data structures such as lists are all necessary for this hands-on workshop. \nFor more information on The Great Lakes cluster\, click here. \nClick here to fill out an account request form\nNote: 3 business days are needed for creation of accounts\nStudents should fill in “Workshop” in the “Advisor” section. \nCampus VPN access is required for off-campus access to Great Lakes but not from on campus. An SSH client\, and Duo will be required during the workshop in order to use Great Lakes.  If you do not have this software already\, please download and install the Cisco AnyConnect VPN software following these instructions: https://its.umich.edu/enterprise/wifi-networks/vpn/getting-started You will need this to be able to use the ssh client. You will need to use the ‘Campus All traffic’ profile in the Cisco client. \n  \nRegister here \nA Zoom link will be provided to the participants the day before the class. Registration is required. \nPlease note\, this session will be recorded. \nIf you have questions about this workshop\, please send an email to the instructor at arburks@umich.edu \n\n\n\nArmand R. Burks\, Ph. D. \nResearch Data Scientist\nAdvanced Research Computing\nSchool of Information\nUniversity of Michigan
URL:https://micde.umich.edu/event/https-ttc-iss-lsa-umich-edu-ttc-sessions-getting-started-with-the-python-multiprocessing-package/
LOCATION:Your Desktop
CATEGORIES:Data Science,Data Science Skills Series,Great Lakes,High Performance Computing,hpc-events,Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211015T150000
DTEND;TZID=America/Detroit:20211015T163000
DTSTAMP:20260604T144422
CREATED:20210901T153222Z
LAST-MODIFIED:20230217T195741Z
UID:10000520-1634310000-1634315400@micde.umich.edu
SUMMARY:GIS and Spatial Analysis Fundamentals – III (Geocoding)
DESCRIPTION:This is the third workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications\, but we will also touch upon the technical aspects. Most workshops will have at least one hands-on exercise. Typically\, each workshop is divided into one hour of lecture-style presentation and half an hour of hands-on exercises.  \n  \nGeocoding (or sometimes reverse geocoding) is often a very first step in many geospatial analyses. There are many options available for geocoding with different degree of accuracy. A basic understanding of the process helps you in choosing the best option. The workshop will cover basic concepts in geocoding\, different open-source and proprietary options available\, accuracy and reliability in geocoding\, and best practices. We will use R and ArcGIS.
URL:https://micde.umich.edu/event/gis-and-spatial-analysis-fundamentals-iii-geocoding/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211014T140000
DTEND;TZID=America/Detroit:20211014T160000
DTSTAMP:20260604T144422
CREATED:20211001T161248Z
LAST-MODIFIED:20230217T195820Z
UID:10000536-1634220000-1634227200@micde.umich.edu
SUMMARY:Machine Learning on Great Lakes
DESCRIPTION:OVERVIEW\n\n\nThis workshop will go over methods and best practices for running machine learning applications on Great Lakes. We will briefly outline machine learning before stepping through a hands-on example problem to load a project and submit a job to the HPC cluster. Participants are expected to be familiar with Python\, the command line\, and basic Great Lakes functionality (logging in and navigating the directory structure). Participants must create a user account on Great Lakes prior to the workshop and are required to pre-register to gain access to a training account. \nINSTRUCTORS\nMeghan Richey\nMachine Learning Specialist\nInformation and Technology Services – Advanced Research Computing \nMeghan Richey is a machine learning specialist in the Advanced Research Computing (ARC) 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. \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 1:00-2:00 PM for computer setup assistance. \nPlease note\, this session will be recorded.   \nTo register and view more details\, please refer to the linked TTC page. \n\nIf you have questions about this workshop\, please send an email to the instructor at richeym@umich.edu
URL:https://micde.umich.edu/event/https-ttc-iss-lsa-umich-edu-ttc-sessions-machine-learning-for-great-lakes/
LOCATION:Your Desktop
CATEGORIES:Data Science,Great Lakes,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211012T140000
DTEND;TZID=America/Detroit:20211012T160000
DTSTAMP:20260604T144422
CREATED:20210819T172534Z
LAST-MODIFIED:20230217T195739Z
UID:10000516-1634047200-1634054400@micde.umich.edu
SUMMARY:Introduction to performance analysis of scientific software\, or "Why is my program slow?"
DESCRIPTION:We all had this: “My program is too slow”. We all have heard: “Use Fortran and C++\, they are fast.”  But will it really help? We all have heard also: “Don’t bother\, use Python and R on a better computer”\, and “HPC clusters are fast”.  But what does “better” and “fast” even mean?   In this workshop\, we will observe\, measure and discuss performance behavior of various scientific workloads\, and learn about typical performance classes and basic performance measuring methodology.  In the end\, you will be able to classify your expected workload and make an educated guess whether changing the programming language\, upgrading the computer\, or applying for cluster computing time would likely be advantageous. \n  \nParticipants are expected to know the basics of programming in some (any!) programming language. Some familiarity with the Unix command line would be helpful\, but is not required. If you wish to follow hands-on demonstrations\, you will need to use your own computer and have a UMich account.
URL:https://micde.umich.edu/event/introduction-to-performance-analysis-of-scientific-software-or-why-is-my-program-slow/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211011T130000
DTEND;TZID=America/Detroit:20211011T160000
DTSTAMP:20260604T144422
CREATED:20210805T225711Z
LAST-MODIFIED:20230217T195731Z
UID:10000503-1633957200-1633968000@micde.umich.edu
SUMMARY:3D Visualization Software: Data Visualization with Unity3D and C# (Part 2)
DESCRIPTION:This is part of a series of workshops covering 3D game engines and animation software for research and data visualization. Registration to all parts of this series is not required\, but each workshop will expect a different level of experience\, which will be acquired if the viewer attends all events. \nUnity3D is a popular game engine among schools and independent developers. It is also increasingly used for “serious” applications that require interactive 3D graphics\, from mobile apps\, virtual and augmented reality\, computer vision and artificial intelligence\, and real-time CGI film production. It offers a free option to download for non-commercial projects\, and can export projects to run on a large variety of platforms. \nIn this workshop\, we’ll use Unity3D to render 3D visualizations of a dataset. Users will have a prototype that they build from for real applications. \nA basic familiarity with any computer programming language (C# will be used during the session) and the Unity3D interface is recommended to get the most out of the workshop. To take part\, users will be responsible to use their own laptop with Unity3D (available for Windows\, Macintosh and Linux) pre-installed. Additional project files will be provided to registered users ahead of the workshop date. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/3d-visualization-software-data-visualization-with-unity3d-and-c-part-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211004T130000
DTEND;TZID=America/Detroit:20211004T160000
DTSTAMP:20260604T144422
CREATED:20210805T225217Z
LAST-MODIFIED:20230217T195730Z
UID:10000502-1633352400-1633363200@micde.umich.edu
SUMMARY:3D Visualization Software: Introduction to Unity3D and C# (Part 1)
DESCRIPTION:This is part of a series of workshops covering 3D game engines and animation software for research and data visualization. Registration to all parts of this series is not required\, but each workshop will expect a different level of experience\, which will be acquired if the viewer attends all events. \nUnity3D is a popular game engine among schools and independent developers. It is also increasingly used for “serious” applications that require interactive 3D graphics\, from mobile apps\, virtual and augmented reality\, computer vision and artificial intelligence\, and real-time CGI film production. It offers a free option to download for non-commercial projects\, and can export projects to run on a large variety of platforms. \nIn this workshop\, we’ll introduce the Unity3D workspace from a beginner’s perspective\, and prepare a simple game demo with the interface and through C# scripting. Users will gain a basic understanding of the software\, and be prepared for future\, more advanced workshops on it dedicated for data visualization. \nA basic familiarity with any computer programming language (C# will be used during the session) is recommended to get the most out of the workshop. To take part\, users will be responsible to use their own laptop with Unity3D (available for Windows\, Macintosh and Linux) pre-installed. Additional project files will be provided to registered users ahead of the workshop date. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/3d-visualization-software-introduction-to-unity3d-and-c-part-1/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210930T150000
DTEND;TZID=America/Detroit:20210930T163000
DTSTAMP:20260604T144422
CREATED:20210901T152820Z
LAST-MODIFIED:20230217T195740Z
UID:10000519-1633014000-1633019400@micde.umich.edu
SUMMARY:GIS and Spatial Analysis Fundamentals – II (Data models: vector\, network)
DESCRIPTION:This is the second workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements of GIS and spatial analysis and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications\, but we will also touch upon the technical aspects. Most workshops will have at least one hands-on exercise. The first one hour of the workshop is a lecture-style presentation\, followed by the next half-hour for the hands-on exercises. Unless mentioned otherwise\, we will use R and/or QGIS for the hands-on portion.  \n  \nHow data is recorded in digital systems has significant implications for accuracy\, algorithms\, and the type of analyses that can be undertaken.  In this workshop we will cover data structure for vector and network data in the context of a 2-D GIS system. The focus is on developing a basic understanding of elements such as essential primitives\, how more complex objects are derived from the primitives\, and different formats and file systems.  \n  \nParticipants should have some familiarity with R\, but exposure to QGIS is not required.
URL:https://micde.umich.edu/event/gis-and-spatial-analysis-fundamentals-ii-data-models-vector-network/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210930T150000
DTEND;TZID=America/Detroit:20210930T160000
DTSTAMP:20260604T144422
CREATED:20210907T174508Z
LAST-MODIFIED:20230217T195743Z
UID:10000523-1633014000-1633017600@micde.umich.edu
SUMMARY:MICDE & MIDAS Graduate Programs Information Tables (In-person)
DESCRIPTION:Meet 1:1 with MICDE and MIDAS graduate program faculty and staff managers to learn more about the institutes and the computational and data science graduate programs they offer\, including: the Ph.D. in Scientific Computing\, the Graduate Certificate in Computational Discovery & Engineering\, the Graduate Certificate in Computational Neuroscience\, and the Graduate Certificate in Data Science. \nAdvanced Research Computing will also be there giving information about their services\, including the new free cluster allocations and ARC’s consulting services. \n\nThis event will be held in-person under the outdoor canopy tent located on the Ingalls Mall\, across the street from the Rackham Graduate School building. \nAll attendees are required to wear masks. \n\nCheck out the recording of our virtual info session on Wednesday\, September 29 here.
URL:https://micde.umich.edu/event/micde-midas-graduate-programs-info-session-in-person/
LOCATION:MI
CATEGORIES:Education,Featured Events,Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210929T120000
DTEND;TZID=America/Detroit:20210929T130000
DTSTAMP:20260604T144422
CREATED:20210907T174508Z
LAST-MODIFIED:20230515T013643Z
UID:10000522-1632916800-1632920400@micde.umich.edu
SUMMARY:MICDE & MIDAS Graduate Programs Info Session (Virtual)
DESCRIPTION:Join the MICDE and MIDAS teams for a 1-hour virtual information session to learn more about our computational and data science graduate program offerings\, including: the Ph.D. in Scientific Computing\, the Graduate Certificate in Computational Discovery & Engineering\, the Graduate Certificate in Computational Neuroscience\, and the Graduate Certificate in Data Science. \nAfter a short presentation\, each program’s faculty director and/or staff manager will be present to answer questions in a small group or 1:1 setting. \n\nWatch the recording of this info session here.
URL:https://micde.umich.edu/event/micde-midas-graduate-programs-info-session-virtual/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Education,Featured Events,Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210921T130000
DTEND;TZID=America/Detroit:20210921T160000
DTSTAMP:20260604T144422
CREATED:20210810T214531Z
LAST-MODIFIED:20260401T195944Z
UID:10000510-1632229200-1632240000@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.
URL:https://micde.umich.edu/event/introduction-research-computing-on-the-great-lakes-cluster-4-2-2-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210920T130000
DTEND;TZID=America/Detroit:20210920T160000
DTSTAMP:20260604T144422
CREATED:20210810T221222Z
LAST-MODIFIED:20260401T195912Z
UID:10000513-1632142800-1632153600@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.
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-27-2-2-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210917T130000
DTEND;TZID=America/Detroit:20210917T160000
DTSTAMP:20260604T144422
CREATED:20210810T215924Z
LAST-MODIFIED:20210810T215924Z
UID:10000509-1631883600-1631894400@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. \n\n  \nPlease register at https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-12/register/
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster-7-2-2-2-2/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210916T140000
DTEND;TZID=America/Detroit:20210916T153000
DTSTAMP:20260604T144422
CREATED:20210901T152506Z
LAST-MODIFIED:20230217T195740Z
UID:10000518-1631800800-1631806200@micde.umich.edu
SUMMARY:GIS and Spatial Analysis Fundamentals – I (Coordinate system)
DESCRIPTION:This is the first workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements of GIS and spatial analysis and is self-contained. The focus is on conceptual details that can provide sufficient understanding for applications\, but we will also touch upon the technical aspects. Most workshops will have at least one hands-on exercise. Typically\, each workshop is divided into one hour of lecture-style presentation and half an hour of hands-on exercises. Unless mentioned otherwise\, we will use R and/or QGIS for the hands-on portion.  \n  \nThere are 100s of coordinate systems and datums available in modern software that provide GIS functionalities. A basic understanding of different coordinate systems\, their strength and limitations\, and conversion between different systems are essential for choosing the right system and manipulating geographically referenced data. In this workshop we will cover basics of coordinate systems for 2-D GIS from an applied perspective.  \n  \nParticipants should have some familiarity with R\, but exposure to QGIS is not required.
URL:https://micde.umich.edu/event/gis-and-spatial-analysis-fundamentals-i-coordinate-system/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210916T130000
DTEND;TZID=America/Detroit:20210916T160000
DTSTAMP:20260604T144422
CREATED:20210810T214638Z
LAST-MODIFIED:20260401T200134Z
UID:10000508-1631797200-1631808000@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.
URL:https://micde.umich.edu/event/introduction-research-computing-on-the-great-lakes-cluster-4-2-2-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210916T090000
DTEND;TZID=America/Detroit:20210916T120000
DTSTAMP:20260604T144422
CREATED:20210810T221400Z
LAST-MODIFIED:20260401T200207Z
UID:10000512-1631782800-1631793600@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.
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-27-2-2-2-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210914T090000
DTEND;TZID=America/Detroit:20210914T103000
DTSTAMP:20260604T144422
CREATED:20210811T193429Z
LAST-MODIFIED:20260401T200107Z
UID:10000515-1631610000-1631615400@micde.umich.edu
SUMMARY:Data Sharing and Archiving
DESCRIPTION:OVERVIEW\n\n\nFor growing data volumes\, how we manage data becomes more important. This session will cover the basics of managing data in a research environment such as those at ARC and nationally. Attendees of the course will be introduced to recommended tools for data sharing and transfer both on campus\, off campus\, and cloud.  They will learn how to prepare data for archive\, including special high performance versions of tar and compression allowing significant performance benefits over the standard versions of the tools.\nLastly we will cover the properties and selection process of the appropriate general purpose  storage for data that requires long term preservation and active archiving that supports the largest data volumes in a way that controls costs and ease of management.\n\nRequirements are basic command line.
URL:https://micde.umich.edu/event/data-sharing-and-archiving-3-2/
LOCATION:Your Desktop
CATEGORIES:Great Lakes,High Performance Computing,Workshops
END:VEVENT
END:VCALENDAR