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CREATED:20230905T171341Z
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UID:10000307-1580302800-1580313600@micde.umich.edu
SUMMARY:Research Computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\nThis workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler\, creating submissions scripts to run jobs and the options available in them\, and hands-on experience. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories. \nPRE-REQUISITES\nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan\, where he is responsible for high performance computing support and education\, and was an Advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nJohn Thiels\nResearch Computing Services\nLSA Technology Services \nMark Champe\nResearch Computing Services\nLSA Technology Services \nMATERIALS\nLecture notes\nGreat Lakes HPC cluster \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 don’t already have a Great Lakes user login\, please visit the application page. \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \nSLURM ACCOUNT\nWe create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account\, you can use that\, though if there are any issues with that account\, we will ask you to use the workshop account. \nDUO AUTHENTICATION\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet in Duo. \nPlease enroll in Duo before you come to class. \nLAPTOP PREPARATION\nYou do not need to bring your own laptop to class. The classroom will provide Windows or Mac computers\, which require your uniqname and UMICH (AKA Level 1) password to login\, and that have all necessary software pre-loaded. \nIf you want to use a laptop for the course\, you are welcome to do so: please see our web page on Preparing your laptop to use Flux (those instructions apply to Great Lakes as well). However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class.
URL:https://micde.umich.edu/event/research-computing-on-the-great-lakes-cluster-8/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200127T153000
DTEND;TZID=America/Detroit:20200127T170000
DTSTAMP:20260605T190354
CREATED:20230905T171341Z
LAST-MODIFIED:20230905T171341Z
UID:10000330-1580139000-1580144400@micde.umich.edu
SUMMARY:Linear regression analysis in Python
DESCRIPTION:This workshop will cover regression analysis using linear models and least squares in Python.  We will discuss the goals and main use-cases for linear regression\, and how to interpret a fitted linear model.  We will then discuss methods for fitting more complex models with larger data sets\, including the use of interactions\, dummy-coding of categorical variables\, and splines.  Finally we will discuss some aspects of statistical inference and model selection for linear regression. Several case studies using open-access data sets will be used to illustrate the approaches.   \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional.
URL:https://micde.umich.edu/event/linear-regression-analysis-in-python-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200124T130000
DTEND;TZID=America/Detroit:20200124T140000
DTSTAMP:20260605T190354
CREATED:20230905T171341Z
LAST-MODIFIED:20230905T171341Z
UID:10000312-1579870800-1579874400@micde.umich.edu
SUMMARY:MICDE Seminar: Andrew Wetzel\, Assistant Professor\, Physics\, University of California\, Davis
DESCRIPTION:Bio: Professor Wetzel is an assistant professor in the physics department and in the astrophysics and cosmology group at the University of California\, Davis. He is a theoretical/computational astrophysicist and cosmologist. Using the world’s most powerful supercomputers\, he generates cosmological simulations to model the formation of cosmic structures\, including galaxies and their stars. He uses these simulations as theoretical laboratories to develop and test models of galaxy formation\, stellar dynamics\, and the nature of dark matter\, with emphasis on our own Milky Way galaxy. \nSimulating the Milky Way\nThe Gaia satellite mission\, together with a multitude of ground-based observational surveys\, now measure 6-D phase-space coordinates and multi-species elemental abundances for hundreds of millions of stars across the Milky Way. This new era of galactic archeology and near-field cosmology demands a new generation of simulations that achieve high dynamic range to resolve scales of individual stellar populations within a cosmological context. I will describe the new Latte suite of massively parallelized cosmological zoom-in simulations\, run on the nation’s most powerful supercomputers\, that model the formation of Milky Way-like galaxies at parsec-scale resolution\, using the FIRE (Feedback in Realistic Environments) model for star formation and feedback. First I will discuss the formation of the Milky Way disk\, including resolving for the first time the dynamics and lifetimes of giant molecular clouds and stars clusters at z = 0. These simulations also self-consistently resolve the formation of satellite dwarf galaxies around each Milky Way-like host. These low-mass galaxies have presented significant challenges to the cold dark matter model\, but I will show progress in addressing the “missing satellites” and “too-big-to-fail” problems. Finally\, I will discuss synthetic Milky Way surveys that we have created from the Latte simulations\, which are publicly available\, to provide theoretical modeling insight for the era of Gaia. \nProf. Wetzel is being hosted by Prof. Gnedin (Astronomy).  If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. If you are an MICDE graduate student and would like to join Prof. Wetzel for lunch please RSVP by Thursday\, January 23. 
URL:https://micde.umich.edu/event/micde-seminar-andrew-wetzel-uc-davis/
LOCATION:411 West Hall (1085 S. University)\, 1085 S. University Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/12/Andrew-Wetzel.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200123T140000
DTEND;TZID=America/Detroit:20200123T170000
DTSTAMP:20260605T190354
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000326-1579788000-1579798800@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.\n\nLink: https://m-clark.github.io/data-processing-and-visualization/
URL:https://micde.umich.edu/event/r-i-data-wrangling/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200121T090000
DTEND;TZID=America/Detroit:20200121T170000
DTSTAMP:20260605T190354
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000318-1579597200-1579626000@micde.umich.edu
SUMMARY:Introduction to SPSS
DESCRIPTION:Audience: Never before SPSS users who will be using SPSS for Windows.  Those using SPSS for Unix or Macintosh should email the instructor at cpow@umich.edu before enrolling. \nFundamentals \nThis portion introduces SPSS for Windows\, the menu and the help systems\, the three main types of files used\, and printing from within SPSS.  It then addresses defining variables\, attaching labels\, defining missing values\, and various ways to enter data into SPSS.  Finally\, it covers a brief introduction to obtaining frequency distributions\, descriptive statistics\, and cross tabulations of variables. \nWithin-Case Transformations \nThis portion introduces data management capabilities\, including recoding variables (manual and automatic)\, computing new variables using formulas\, and counting occurrences of values within subjects.  Attention then turns to temporary transformations\, conditional processing of transformations\, and repetitive transformations.  SPSS syntax is also introduced. \nData Management with Multiple Files \nThis portion begins with a discussion of subsetting data files by drawing samples\, selecting groups and excluding groups from analysis.  Then\, the two main methods of merging SPSS data files are covered: adding additional variables and adding additional cases.  Next\, creating aggregated data sets and applying aggregated data to individuals is covered.  Lastly\, importing and exporting data between SPSS and other statistical programs (Excel\, dBase\, SAS) is demonstrated. \nBasic Statistics and Graphics\nThis portion covers basic exploratory procedures\, including obtaining percentiles\, frequencies\, descriptive statistics\, and cross tabulations. Basic comparative procedures including two-sample t-tests\, paired t-tests\, and one-way analysis of variance are also covered.  Then\, simple bivariate correlation analysis is introduced.  Participants are given a basic introduction to commonly used graphical procedures for displaying data\, including scatter plots\, bar graphs\, histograms\, and boxplots.
URL:https://micde.umich.edu/event/introduction-to-spss-3/
LOCATION:MI
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200120T153000
DTEND;TZID=America/Detroit:20200120T170000
DTSTAMP:20260605T190354
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000329-1579534200-1579539600@micde.umich.edu
SUMMARY:Introduction to Julia
DESCRIPTION:This workshop will introduce the Julia programming language\, with a focus on using Julia for data analysis.  No prior exposure to Julia is needed.  \nWe will discuss some aspects of the core language\, cover some basic techniques for data manipulation\, and fit a model using linear regression.
URL:https://micde.umich.edu/event/introduction-to-julia/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200117T130000
DTEND;TZID=America/Detroit:20200117T160000
DTSTAMP:20260605T190354
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000305-1579266000-1579276800@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \nINSTRUCTOR \nKenneth Weiss\nIT Project Senior Manager\nMedical School Information Services (MSIS) \nKen is a High Performance Computing Consultant in the Computational Research Consulting Division of MSIS at the University of Michigan. He works with a team of IT specialists to provide high performance computing support and training for the Medical School. Prior to this\, he spent 21 years managing research computing\, including an HPC cluster\, for Dr. Charles Sing in the Human Genetics Department. \nMATERIALS \n\nLecture Notes\nReference text: William E Shotts\, Jr.\, “The Linux Command Line: A Complete Introduction\,” No Starch Press\, January 2012 .http://linuxcommand.org/tlcl.php\nDownload Creative Commons Licensed version at http://downloads.sourceforge.net/project/linuxcommand/TLCL/13.07/TLCL-13.07.pdf\n\n\nCOURSE PREPARATION \nYou must register at least three full days prior to the event so that we have time to insure you have proper UM credentials for the workshop. This allows enough time for you to get your account adjusted by ITS in case you do not have access to the Linux systems. \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-11/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200116T130000
DTEND;TZID=America/Detroit:20200116T160000
DTSTAMP:20260605T190354
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000309-1579179600-1579190400@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 High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan\, where he is responsible for high performance computing support and education\, and was an Advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nJohn Thiels\nResearch Computing Services\nLSA Technology Services \nMATERIALS\n\nLecture Notes\nMPI Profiling with Allinea MAP\nGreat Lakes Slurm HPC cluster\n\n\nCOURSE PREPARATION\nIn order to participate successfully in the workshop exercises\, you must have a user login\, a Slurm account\, and be enrolled in Duo. The user login allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare jobs for submission. The Slurm account allows you to submit those jobs\, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster. \n\nUSER LOGIN\nIf you already have a Flux user login\, you don’t need to do anything.  Otherwise\, go to the Flux user login application page at: https://arc-ts.umich.edu/fluxform/ . \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \n\nSLURM ACCOUNT\nWe create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account\, you can use that\, though if there are any issues with that account\, we will ask you to use the workshop account. \nDUO AUTHENTICATION\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet in Duo. \nPlease enroll in Duo before you come to class. \n\nLAPTOP PREPARATION\nYou do not need to bring your own laptop to class. The classroom contains Windows or Mac computers\, which require your uniqname and UMICH (AKA Level 1) password to login\, and that have all necessary software pre-loaded. \nIf you want to use a laptop for the course\, you are welcome to do so:  please see our web page on Preparing your laptop to use Flux. However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class. \n\nIf you are unable to attend the presentation in person we will be offering a link into the live course via BlueJeans. Please register as if attending in person.  This will put you on the wait list but we will get your account setup for remote attendance.
URL:https://micde.umich.edu/event/advanced-research-computing-on-the-great-lakes-cluster/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200116T120000
DTEND;TZID=America/Detroit:20200116T150000
DTSTAMP:20260605T190354
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000319-1579176000-1579186800@micde.umich.edu
SUMMARY:Open Source GIS
DESCRIPTION:This workshop will provide a fast paced introduction to georeferenced vector data analysis. We will explore the power and functionalities of QGIS and R for reading\, manipulating\, and analyzing vector GIS data. Participants will also learn to generate production quality maps. Some exposure to R will he helpful but is not required.
URL:https://micde.umich.edu/event/open-source-gis-4/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200115T150000
DTEND;TZID=America/Detroit:20200115T180000
DTSTAMP:20260605T190354
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000301-1579100400-1579111200@micde.umich.edu
SUMMARY:SC2 Workshop Series: VisIt- Open Source\, Interactive\, Scalable\, Visualization\, Animation and Analysis Tool
DESCRIPTION:Learn to interactively visualize and analyze data ranging in scale from small (<101 cores) desktop-sized projects to large (>105 core) leadership-class computing facility simulation campaigns. Dr. Allen Sanderson\, an expert from the Scientific Computing and Imaging Institute (Utah)\, will teach this workshop. If you’re unfamiliar with VisIt\, check out how it can help you visualize your data here. \nInstructor: Dr. Allen Sanderson\, Research Scientist\, Scientific Computing and Imaging Institute\,  University of Utah \nSpace is limited. Learn more and register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-visit-open-source-interactive-scalable-visualization-animation-and-analysis-tool/
LOCATION:MI
CATEGORIES:Education,Featured Events,SC2,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200115T130000
DTEND;TZID=America/Detroit:20200115T160000
DTSTAMP:20260605T190354
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000306-1579093200-1579104000@micde.umich.edu
SUMMARY:Research Computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\nThis workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler\, creating submissions scripts to run jobs and the options available in them\, and hands-on experience. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories. \nPRE-REQUISITES\nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan\, where he is responsible for high performance computing support and education\, and was an Advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nJohn Thiels\nResearch Computing Services\nLSA Technology Services \nMark Champe\nResearch Computing Services\nLSA Technology Services \nMATERIALS\nLecture notes\nGreat Lakes HPC cluster \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 don’t already have a Great Lakes user login\, please visit the application page. \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \nSLURM ACCOUNT\nWe create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account\, you can use that\, though if there are any issues with that account\, we will ask you to use the workshop account. \nDUO AUTHENTICATION\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet in Duo. \nPlease enroll in Duo before you come to class. \nLAPTOP PREPARATION\nYou do not need to bring your own laptop to class. The classroom will provide Windows or Mac computers\, which require your uniqname and UMICH (AKA Level 1) password to login\, and that have all necessary software pre-loaded. \nIf you want to use a laptop for the course\, you are welcome to do so: please see our web page on Preparing your laptop to use Flux (those instructions apply to Great Lakes as well). However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class.
URL:https://micde.umich.edu/event/research-computing-on-the-great-lakes-cluster-7/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200115T120000
DTEND;TZID=America/Detroit:20200115T130000
DTSTAMP:20260605T190354
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000311-1579089600-1579093200@micde.umich.edu
SUMMARY:MICDE Seminar: Allen Sanderson\, Research Scientist\, Scientific Computing and Imaging Institute\, The University of Utah
DESCRIPTION:Bio: Allen Sanderson\, Ph.D. is a Research Scientist at the University of Utah’s Scientific Computing and Imaging Institute. His interest lies in visualization and analysis of large data coming from application areas ranging from plasma physics to combustion. Recently he has focused on new ways to utilize in situ data analysis and visualization which often has him working directly on the science application infrastructure. \nTeasing out Ephemeral Data from HPC Applications for In Situ Visualization and Analysis\nIt is well known that as HPC applications have grown\, I/O has become a bottleneck\, which has required scientists to turn to in situ tools for data exploration. The focus of this exploration has typically been on simulation data. However\, applications also produce ephemeral data that is optionally written to disk for post hoc analysis\, but not otherwise saved or utilized by the application in subsequent time steps. One example of ephemeral data is runtime performance data. In this talk I will present the infrastructure implemented for efficiently collecting this and other data within the Uintah framework which was coupled to VisIt’s in situ toolkit for analysis and visualization. This collection and coupling allows performance data to be visualized using multiple domains giving insight previously not possible. As part this coupling\, we take advantage of VisIt’s in situ custom user interface to create a “simulation dashboard” that allows for in situ computational steering and visual debugging allowing for improvements in the development and simulation workflow. \nDr. Sanderson is being hosted by the Scientific Computing Student Club [SC2].  If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. Limited lunch will be provided. 
URL:https://micde.umich.edu/event/micde-seminar-allen-sanderson/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200114T130000
DTEND;TZID=America/Detroit:20200114T160000
DTSTAMP:20260605T190354
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000304-1579006800-1579017600@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \nINSTRUCTOR \nKenneth Weiss\nIT Project Senior Manager\nMedical School Information Services (MSIS) \nKen is a High Performance Computing Consultant in the Computational Research Consulting Division of MSIS at the University of Michigan. He works with a team of IT specialists to provide high performance computing support and training for the Medical School. Prior to this\, he spent 21 years managing research computing\, including an HPC cluster\, for Dr. Charles Sing in the Human Genetics Department. \nMATERIALS \n\nLecture Notes\nReference text: William E Shotts\, Jr.\, “The Linux Command Line: A Complete Introduction\,” No Starch Press\, January 2012 .http://linuxcommand.org/tlcl.php\nDownload Creative Commons Licensed version at http://downloads.sourceforge.net/project/linuxcommand/TLCL/13.07/TLCL-13.07.pdf\n\n\nCOURSE PREPARATION \nYou must register at least three full days prior to the event so that we have time to insure you have proper UM credentials for the workshop. This allows enough time for you to get your account adjusted by ITS in case you do not have access to the Linux systems. \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-10/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200114T100000
DTEND;TZID=America/Detroit:20200114T120000
DTSTAMP:20260605T190354
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000314-1578996000-1579003200@micde.umich.edu
SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level\, Python interface running on top of multiple neural network libraries\, including the popular library TensorFlow. In this workshop\, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs\, as well as image classification using Convolutional Neural Networks (CNNs). We will also look at regularization techniques and how to deal with under- and over-fitting. All examples will use Python; some familiarity with Python is recommended. Computers will be available to complete exercises. 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-2/
LOCATION:MI
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200110T150000
DTEND;TZID=America/Detroit:20200110T160000
DTSTAMP:20260605T190354
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000008-1578668400-1578672000@micde.umich.edu
SUMMARY:MICDE Seminar: Grace Gu\, Assistant Professor\, Mechanical Engineering\, University of California\, Berkeley
DESCRIPTION:Bio: \nResearch interests: Composites\, additive manufacturing\, fracture mechanics\, topology optimization\, machine learning\, finite element analysis\, and bioinspired materials. \nSEMINAR TITLE\nAbstract \nProf. Xu is being hosted by Prof. XXX.  If you would like to meet with her during her visit\, please send an email to micde-events@umich.edu. If you are an MICDE and would like to join Prof. Gu for lunch please RSVP by DAY\, DATE.
URL:https://micde.umich.edu/event/__trashed/
LOCATION:Venue TBA\, MI\, 48109\, United States
GEO:42.3053253;-83.6694169
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191210T140000
DTEND;TZID=America/Detroit:20191210T163000
DTSTAMP:20260605T190354
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000299-1575986400-1575995400@micde.umich.edu
SUMMARY:Intro to D3.js for data visualization
DESCRIPTION:D3.js is a JavaScript library for producing dynamic\, interactive data visualizations in web browsers. It makes use of the widely implemented SVG\, HTML5\, and CSS standards. We’ll explore how to get started with D3 and the anatomy of a basic D3 plot with animation using a top-down approach. We’ll be using the baseball chart at d3-examples-caocscar.onrender.com as our learning example. The workshop is intended for users with basic HTML\, CSS and general programming knowledge.
URL:https://micde.umich.edu/event/intro-to-d3-js-for-data-visualization/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191209T150000
DTEND;TZID=America/Detroit:20191209T160000
DTSTAMP:20260605T190354
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000250-1575903600-1575907200@micde.umich.edu
SUMMARY:MICDE Seminar: Bo Zhu\, Assistant Professor\, Computer Science\, Dartmouth College
DESCRIPTION:Bio: Bo Zhu is an assistant professor of Computer Science at Dartmouth College. Prior to that\, he was a postdoctoral associate at MIT CSAIL. He received his Ph.D. in Computer Science from Stanford University in 2015. His research interests encompass computer graphics\, computational physics\, and computational fabrication. In particular\, he focuses on building computational approaches to automate the process of exploring complex physical systems. \nSuper-Resolution Structural Simulation and Optimization\nComplex physical systems exhibiting mixed-dimensional geometry and multi-scale mechanics are ubiquitous. Examples include biological structures\, such as insect wing exoskeletons\, fluid phenomena\, such as bubbles and jets\, and human-made objects\, such as microrobots. The beauty and complexity of these systems attract efforts from scientists\, engineers\, and artists in various fields. However\, a computational investigation of these systems on the level of super-resolution  –with millions to billions of computational elements — is still challenging\, due to the non-manifold geometric structures\, non-linear governing physics\, and the tight coupling between them. \nMy work tackles these challenges by rethinking of the computation pipeline—from a perspective that aims to blur the line between discrete geometry and continuous physics. My guiding principle is to study the hidden low-dimensional topological and structural characteristics underpinning these complex systems and to create the most natural geometric analogs in a discrete setting for efficient simulation and optimization. In this talk\, I will present two examples to demonstrate this methodology\, including a super-resolution topology optimization algorithm based on sparse grids to emerge biomimetic structures and a numerical simulation approach based on simplicial complexes to model codimensional fluids. These computational tools enable the investigation\, discovery\, and development of a broad range of complex physical systems that are multi-scale and mixed-dimensional\, with applications in computer graphics\, computational physics\, and additive manufacturing. \n  \nProf. Zhu is being hosted by Prof. Saitou (ME).  If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. If you are an MICDE graduate student and would like to join Prof. Zhu for lunch please RSVP by Friday\, December 6th .  \n 
URL:https://micde.umich.edu/event/fall2019-zhu-dartmouth/
LOCATION:1303 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191206T150000
DTEND;TZID=America/Detroit:20191206T160000
DTSTAMP:20260605T190355
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
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SUMMARY:MICDE Seminar: Anna Vainchtein\, Professor\, Mathematics\, University of Pittsburgh
DESCRIPTION:Bio: Anna Vainchtein is a professor in the Department of Mathematics at the University of Pittsburgh. She is generally interested in mathematical modeling and analysis of nonlinear phenomena in materials science\, physics and biology. Examples include dynamics of phase boundaries\, cracks and dislocations in crystals\, hysteresis in phase-transforming materials\, solitary and heteroclinic traveling waves in nonlinear lattices and DNA overstretching. The resulting mathematical problems typically involve minimization of nonconvex functionals\, nonlinear PDEs that change type\, dynamical systems with many degrees of freedom and functional differential equations. Thus nonstandard analytical and numerical techniques are required. \nStrictly supersonic solitary waves in lattices\nWe consider a nonlinear mass-spring chain with first and second-neighbor interactions and show that there is a parameter range where solitary waves in this system are strictly supersonic. In these regimes standard quasicontinuum theories\, targeting long-wave limits of lattice models\, are not adequate since even weak strictly supersonic solitary waves are of envelope type and crucially involve a microscopic scale in addition to the mesoscopic scale of the envelope. To capture this effect in a continuum setting it is necessary to employ unconventional\, higher-order quasicontinuum approximations carrying more than one length scale. This talk is based on recent joint work with Lev Truskinovsky (ESPCI). \nThis seminar is co-sponsored by the Applied & Interdisciplinary Mathematics program. Prof. Vainchtein is being hosted by Prof. Garikipati (ME). If you would like to meet with her during her visit\, please send an email to micde-events@umich.edu. 
URL:https://micde.umich.edu/event/fall2019-vainchtein-upitt/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1084 East Hall 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191203T140000
DTEND;TZID=America/Detroit:20191203T170000
DTSTAMP:20260605T190355
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000300-1575381600-1575392400@micde.umich.edu
SUMMARY:SC2 Workshop Series: Data Processing and Visualizations with R and Python
DESCRIPTION:This workshop will provide some tools\, tips\, and packages that make data processing and visualization in R easier. Some coding experience is required – not necessarily R. \nInstructor: Dr. Michael Clark\, Consultant\, Consulting for Statistics\, Computing and Analytic Research (CSCAR) \nSpace is limited. Learn more and register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-data-processing-and-visualizations-with-r-and-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Education,Featured Events,SC2,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191127T130000
DTEND;TZID=America/Detroit:20191127T160000
DTSTAMP:20260605T190355
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000296-1574859600-1574870400@micde.umich.edu
SUMMARY:Research Computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\nThis workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler\, creating submissions scripts to run jobs and the options available in them\, and hands-on experience. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories. \nPRE-REQUISITES\nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan\, where he is responsible for high performance computing support and education\, and was an Advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nJohn Thiels\nResearch Computing Services\nLSA Technology Services \nMark Champe\nResearch Computing Services\nLSA Technology Services \nMATERIALS\nLecture notes\nGreat Lakes HPC cluster \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 don’t already have a Great Lakes user login\, please visit the application page. \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \nSLURM ACCOUNT\nWe create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account\, you can use that\, though if there are any issues with that account\, we will ask you to use the workshop account. \nDUO AUTHENTICATION\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet in Duo. \nPlease enroll in Duo before you come to class. \nLAPTOP PREPARATION\nYou do not need to bring your own laptop to class. The classroom will provide Windows or Mac computers\, which require your uniqname and UMICH (AKA Level 1) password to login\, and that have all necessary software pre-loaded. \nIf you want to use a laptop for the course\, you are welcome to do so: please see our web page on Preparing your laptop to use Flux (those instructions apply to Great Lakes as well). However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class.
URL:https://micde.umich.edu/event/research-computing-on-the-great-lakes-cluster-6/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191122T150000
DTEND;TZID=America/Detroit:20191122T163000
DTSTAMP:20260605T190355
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000279-1574434800-1574440200@micde.umich.edu
SUMMARY:Rcpp: Integrating C++ into R
DESCRIPTION:The Rcpp package for R provides “seamless R and C++ integration”.  In this workshop\, we will discuss the use of Rcpp to speed up existing R code by rewriting slow functions in C++.   \nThe workshop will be centered around a couple of case studies with an opportunity provided for participants to implement a few of their own C++ functions\, compile\, and call them from R.  Participants should be comfortable programming in R\, but need not have any prior exposure to C++.
URL:https://micde.umich.edu/event/rcpp-integrating-c-into-r/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191122T090000
DTEND;TZID=America/Detroit:20191122T120000
DTSTAMP:20260605T190355
CREATED:20230905T171338Z
LAST-MODIFIED:20230905T171338Z
UID:10000298-1574413200-1574424000@micde.umich.edu
SUMMARY:Programming with R
DESCRIPTION:People using R for applied research are often not taught basic programming practices such as writing functions\, efficient iterative processing\, vectorization\, and other practices that would make their research far more efficient and reproducible.  Understandably\, focus is on basic data manipulation and getting model results.  Unfortunately\, this can mean the data isn’t as explored as it should be\, or other opportunities are lost (e.g. feature engineering)\, because of the presumed effort that would be required to deal with the data more fully. \nThis workshop will help you get more out of R so that you can take your efforts to the next level.\n\nPrereq: Some basic experience using R is required.  You should know how to create and manipulate objects\, run basic analyses\, etc.  This could also be useful to anyone with programming experience in another language like Python.
URL:https://micde.umich.edu/event/programming-with-r/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191120T150000
DTEND;TZID=America/Detroit:20191120T170000
DTSTAMP:20260605T190355
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000294-1574262000-1574269200@micde.umich.edu
SUMMARY:SC2 Workshop Series: QGIS - Visualizing Geospatial Data
DESCRIPTION:QGIS is a user friendly Open Source Geographic Information System (GIS). You can visualize\, manage\, edit\, analyze data\, and compose printable maps. The workshop will use R. This workshop is part of the Scientific Computing Student Club’s (SC2) 2020 Visualization Challenge. It is the second workshop in the series. Learn more about the workshop series and the Visualization Challenge here. \nInstructor: Dr. Manish Verma\, Consultant\, Consulting for Statistics\, Computing and Analytic Research (CSCAR) \nSpace is limited. Register here.
URL:https://micde.umich.edu/event/sc2-workshop-series-qgis-visualizing-geospatial-data/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Education,Featured Events,SC2,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191115T150000
DTEND;TZID=America/Detroit:20191115T160000
DTSTAMP:20260605T190355
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000249-1573830000-1573833600@micde.umich.edu
SUMMARY:MICDE Seminar: Irene Beyerlein\, Professor\, Mechanical Engineering\, University of California\, Santa Barbara
DESCRIPTION:Bio: Irene J. Beyerlein is a Professor at the University of California at Santa Barbara (UCSB) with a joint appointment in the Mechanical Engineering and Materials Departments. She currently holds the Robert Mehrabian Interdisciplinary Endowed Chair in the College of Engineering. After receiving her Ph.D. degree in Theoretical and Applied Mechanics at Cornell University in 1997\, she began a postdoctoral appointment as a J.R. Oppenheimer Fellow at Los Alamos National Laboratory\, where she remained on the scientific staff in the Theoretical Division\, until 2016\, when she joined UCSB. She has published one book\, nine book chapters\, and more than 300 peer-reviewed articles in the field of structural composites\, materials processing\, multiscale modeling of microstructure/property relationships\, deformation mechanisms\, and polycrystalline plasticity. She is an Editor for Acta Materialia and Scripta Materialia and an Associate Editor for Modelling and Simulation in Materials Science and Engineering.  In recent years\, she has been awarded the Los Alamos National Laboratory Fellow’s Prize for Research (2012)\, the International Plasticity Young Researcher Award (2013)\, the TMS Distinguished Scientist/Engineering Award (2018)\, and the Brimacombe Metal (2019). \nA COMPOSITE OF SUPERIOR PROPERTIES WITH NANOSTRUCTURED COMPOSITE MATERIAL\nMany future engineering systems will rely on high-performance metallic materials that are several times stronger and tougher than those in use today. In many situations\, these superior properties will be desired in harsh environments\, such as elevated temperatures\, at high rates\, and under irradiation. Nanolaminates\, built from stacks of crystalline layers\, each with nanoscale individual thicknesses\, are proving to exhibit a composite of many of these target properties. Examples span from nanotwinned materials to biphase nanolaminates\, comprised of alternating nano-thick layers that differ in orientation\, chemistry and crystal structure. Studies on these materials report exceptional properties far beyond a volume average value of their constituents\, such as strengths that are over five to ten times higher\, hardness values that are several orders of magnitude higher\, and unprecedented microstructural stability in harsh environments\, such as irradiation\, sudden impact\, or elevated temperatures. While the combination of properties is clearly attractive\, one roadblock to applying the nanolaminate concept to any general composite material system is their complex\, highly anisotropic deformation behavior\, making them less reliable than coarsely structured materials. Critical to designing the material nanostructure to achieve uniformity and reliability is understanding and predicting the strength properties of nanostructure materials based on known conditions and measurable variables\, such as basic nanostructure size scales and chemical composition. Multiscale models for conventional coarse-grained materials have been in development for several decades\, but analogous versions for nanostructured materials require extensions to explicitly account for the overriding dominance of internal boundaries on these microstructure/property relationships.  The computational materials challenge lies in how to represent the discrete and statistical dislocation glide processes in nanostructured materials so that the profound influence of the fine nanoscale crystals can be properly replicated in simulation. In this talk\, we will present recent examples of computational techniques and some unanticipated couplings between nanostructural size effects and microstructural evolution and strength that arise from their application. \nProf. Beyerlein is being hosted by Prof. Fan (ME). 
URL:https://micde.umich.edu/event/fall2019-beyerlein-ucsb/
LOCATION:1680 IOE\, 1205 BEAL AVE\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.2910524;-83.7137013
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191115T140000
DTEND;TZID=America/Detroit:20191115T150000
DTSTAMP:20260605T190355
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000271-1573826400-1573830000@micde.umich.edu
SUMMARY:Stata 16 New Data Management Features
DESCRIPTION:Audience: Stata users familiar with data management who want an overview of the new data management features introduced in Stata 16.\n\nWe’ll cover the two main data management features introduced in Stata 16.\n\n1) Frames – holding multiple data sets in memory simultaneously.\n2) Variable lists – formalizing creation and storage of lists of variables.
URL:https://micde.umich.edu/event/stata-16-new-data-management-features-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191113T100000
DTEND;TZID=America/Detroit:20191113T120000
DTSTAMP:20260605T190355
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000285-1573639200-1573646400@micde.umich.edu
SUMMARY:Improving the Performance of Scientific Software
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. \n  \nRequirements:  It is recommended to attend “Introduction to performance analysis of scientific software” workshop prior to this one.  If you wish to follow hands-on demonstrations\, you will need to bring your own laptop and have a UMich account.
URL:https://micde.umich.edu/event/improving-the-performance-of-scientific-software/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191112T150000
DTEND;TZID=America/Detroit:20191112T170000
DTSTAMP:20260605T190355
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000264-1573570800-1573578000@micde.umich.edu
SUMMARY:Android Application Development: An Overview
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. As of 2017\, Google and Apple (the creators of Android and iOS\, respectively) confirmed a combined total of over 3 billion devices around the globe using their mobile operating systems. The capabilities and built-in sensors on modern smartphones also provide a new avenue to collect data or engage with participants in a non-invasive manner. It might seem intimidating to write a mobile app for the first time\, but the process is similar to writing software for a desktop computer\, which in itself isn’t as hard as you might think! \nWe will present a brief overview on developing Android apps\, the differences between Android and iOS development\, and provide quick demonstrations on how you can use a variety of available programming environments and languages to create an app. A basic familiarity with computer programming is recommended to get the most out of the seminar. This is not an in-depth workshop with the intention to have its participants program code alongside the presentation\, but meant to introduce available options for them to consider and to answer questions on the topic. Separate “hands-on” workshops will be provided later in the academic year based on audience feedback.
URL:https://micde.umich.edu/event/android-application-development-an-overview-3/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191112T100000
DTEND;TZID=America/Detroit:20191112T120000
DTSTAMP:20260605T190355
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
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SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level\, Python interface running on top of multiple neural network libraries\, including the popular library TensorFlow. In this workshop\, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs\, as well as image classification using Convolutional Neural Networks (CNNs). We will also look at regularization techniques and how to deal with under- and over-fitting. All examples will use Python; some familiarity with Python is recommended. Computers will be available to complete exercises. 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-5/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191106T150000
DTEND;TZID=America/Detroit:20191106T160000
DTSTAMP:20260605T190355
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000292-1573052400-1573056000@micde.umich.edu
SUMMARY:MICDE Seminar: Pablo Zavattieri\, Professor\, Civil Engineering\, Purdue University
DESCRIPTION:Bio: Dr. Pablo Zavattieri is a Professor of Civil Engineering and University Faculty Scholar at Purdue University. Zavattieri received his BS/MS degrees in Nuclear Engineering from the Balseiro Institute (Argentina) and PhD in Aeronautics and Astronautics Engineering from Purdue University. He worked at the General Motors Research and Development Center as a staff researcher for 9 years\, where he led research activities in the general areas of computational solid mechanics\, smart and biomimetic materials. His current research lies at the interface between solid mechanics and materials engineering. He has focused on the fundamental aspects of how Nature uses elegant and efficient ways to make remarkable materials and their translation to engineering materials. He has contributed to the area of biomimetic materials by investigating the structure-function relationship of naturally-occurring high-performance materials at multiple length-scales\, combining state-of-the-art computational techniques and experiments to characterize the properties.   \nCLEVER ARCHITECTURES\, INTERFACES AND COMPETING MECHANISMS IN BIOLOGICAL MATERIALS\nNature uses modest constituents to synthesize composite materials with exceptional mechanical properties for structural and impact resistance purposes. In most cases\, these materials achieved outstanding mechanical properties avoiding the typical trade-offs often attained by manmade materials. While these materials require modern microscopy techniques to characterize their complex hierarchical structures\, most of our learnings come from the way these materials mitigate catastrophic damage\, revealing the most important mechanisms and features of their inner structure that contribute to energy dissipation and toughening. Considering the current progress in material synthesis and manufacturing\, these new concepts have converged to the field of architected materials.  In this talk\, I will describe some interesting mechanics problems that we encountered as we studied some extraordinary species\, and how we can translate these lessons learned to architected materials. In particular\, I will focus on a few examples related to how the combination of clever architectures\, interfaces\, material properties and competing mechanisms can promote delocalization to mitigate catastrophic failure\, hence\, improving toughness and impact resistance without sacrificing other important mechanical properties. Most of this discussion is driven by how we can eventually translate these lessons learned to the development and manufacturing of architected materials. \nProf. Zavattieri is being hosted by Prof. Evgueni Flipov (CEE). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. If you are an MICDE or CEE student and would like to join Prof. Zavattieri for lunch please RSVP by Monday\, November 4th. 
URL:https://micde.umich.edu/event/micde-seminar-pablo-zavattieri-professor-civil-engineering-purdue-university/
LOCATION:1303 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.292322;-83.713272
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191101T150000
DTEND;TZID=America/Detroit:20191101T160000
DTSTAMP:20260605T190355
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000248-1572620400-1572624000@micde.umich.edu
SUMMARY:MICDE Seminar: Sanjay Govindjee\, Professor\, Civil Engineering\, University of California\, Berkeley
DESCRIPTION:Bio: Sanjay Govindjee is the Horace\, Dorothy\, and Katherine Johnson Professor in Engineering.  His main interests are in theoretical and computational mechanics with an emphasis on micro-mechanics of nonlinear phenomena in solid materials.  He was the winner of the inaugural Zienkiewicz Prize and Medal in 1998 and more recently received a 2018 Alexander von Humboldt Foundation Research Prize in honor of his lifetime achievements.  For the last two and half years\, he has been the PI and co-Director of the NSF NHERI SimCenter at Berkeley. \nThe NSF Natural Hazards Engineering Research Infrastructure (NHERI) Computation and Simulation Center (SimCenter) at Berkeley: An Overview\nIn October 2016\, the National Science Foundation awarded the NHERI SimCenter to Berkeley.  The SimCenter is the computational satellite to the eight experimental sites of the NHERI constellation.  Its primary goal is to advance natural hazards engineering through the use of simulation.  The center develops and stands-up open-source software to simulate the effects of seismic\, wind\, and water loads on structures with a focus on regional assessments of damage at high resolution under uncertainty.  The SimCenter’s work includes both research and educational components. \nThe SimCenter has just completed Year 3 or its original mandate and now offers a wide selection of user friendly front end applications that permit local as well as HPC cloud based execution of simulations.  Simulations can be of single detailed structural models subjected to a variety of harzards using state-of-the-art and state-of-the-practice loading methodologies.  They can also be of a larger regional nature using simpler models and further coupled to forward uncertainty propogation with Monte Carlo methods with or without surrogating.  Engineering demands can be further propogated into damage and loss\, downtime and recovery\, using Hazus methodologies\, FEMA P58 methods\, or user provided techniques with our hazard-blind framework.  All elements of the SimCenter’s software are desgined in a plug-n-play fashion to promote detailed research into natural hazard effects with the ability to see impacts on a larger scale. \nIn this presentation\, I will give an overview of the SimCenter’s recent activities and discuss research needs and how researchers can participate in the SimCenter’s activities\, along with a preview of upcoming developments anticipated in Year 4 \nProf. Govindjee is being hosted by Prof. Garikipati (ME).
URL:https://micde.umich.edu/event/fall2019-govindjee-ucberkeley/
LOCATION:1680 IOE\, 1205 BEAL AVE\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.2910524;-83.7137013
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END:VCALENDAR