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DTSTART;TZID=America/Detroit:20190402T140000
DTEND;TZID=America/Detroit:20190402T160000
DTSTAMP:20260607T233304
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000201-1554213600-1554220800@micde.umich.edu
SUMMARY:Go for data processing 1/2/3
DESCRIPTION:This is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn and use than a high-level scripting language like Python\, but it is strongly typed\, statically compiled\, and provides native support for concurrency\, leading to much better performance for many common tasks.  In this series of workshops\, we introduce Go as a tool for data processing. No prior exposure to Go is expected\, but participants should have some programming background. Free and open source tools for Go are available for all common platforms.   \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional. \nSession 1: March 19\, 2:00pm – 4:00pm \nSession 2: March 26\, 2:00pm – 4:00pm \nSession 3: April 2\, 2:00pm – 4:00pm \nNote: Interested participants only need to register with the 1st session. 
URL:https://micde.umich.edu/event/go-for-data-processing-1-2-3-2-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190403T130000
DTEND;TZID=America/Detroit:20190403T160000
DTSTAMP:20260607T233304
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000218-1554296400-1554307200@micde.umich.edu
SUMMARY:Sliding into Slurm:  An early look at U-M's new high-performance computing environment
DESCRIPTION:This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users.  We will use the temporary Beta HPC cluster to demonstrate how jobs will be submitted and managed under the new Great Lakes\, Armis2\, and Lighthouse clusters available later this year. \nThere are many differences between the familiar Flux environment and that of the new HPC clusters\, including a new batch scheduling system\, a new interactive batch job environment\, a new HPC web portal\, a new module environment\, and a new on-demand-only job accounting system. \nWe will cover these differences in the workshop\, and provide hands-on training in creating and running job submission scripts in the new HPC environment.  Students are expected to be conversant with the Linux command line and have experience in creating\, submitting\, and troubleshooting PBS batch scripts.
URL:https://micde.umich.edu/event/sliding-into-slurm-an-early-look-at-u-ms-new-high-performance-computing-environment-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190409T140000
DTEND;TZID=America/Detroit:20190409T160000
DTSTAMP:20260607T233304
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000214-1554818400-1554825600@micde.umich.edu
SUMMARY:Mediation analysis in Python
DESCRIPTION:Mediation analysis is a set of tools for exploring hypotheses about causal pathways\, with a special focus on differentiating “direct” from “mediated” associations between an exposure and an outcome.  Many approaches to mediation analysis are based on regression analysis. \n In this workshop\, we will cover some of the basic ideas behind regression-based mediation analysis\, and show how this type of analysis can be performed in Python using the Statsmodels package. All software tools covered in this workshop are free and open source.
URL:https://micde.umich.edu/event/mediation-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:20190412T133000
DTEND;TZID=America/Detroit:20190412T170000
DTSTAMP:20260607T233304
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000189-1555075800-1555088400@micde.umich.edu
SUMMARY:Open Source GIS and Geometric Network Analysis
DESCRIPTION:This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network\, but the ideas and techniques apply to similar network such as water and electric distribution and gas pipelines. We will primarily use open source tools in R and QGIS\, but will also touch upon the functionalities in ArcGIS. \nYou should know the introductory concepts and tools in GIS and should be familiar with R and QGIS.
URL:https://micde.umich.edu/event/open-source-gis-and-geometric-network-analysis/
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:20190416T093000
DTEND;TZID=America/Detroit:20190416T120000
DTSTAMP:20260607T233304
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000101-1555407000-1555416000@micde.umich.edu
SUMMARY:Web Scraping with Python
DESCRIPTION:This workshop will provide an overview of how to scrape data from html pages and website APIs using Python. This will mostly be accomplished using the requests\, beautifulsoup\, retry modules and the browser developer tools. The workshop is intended for users with basic Python knowledge. Anaconda Python 3.5 will be used.
URL:https://micde.umich.edu/event/web-scraping-with-python-3-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190416T140000
DTEND;TZID=America/Detroit:20190416T160000
DTSTAMP:20260607T233304
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000215-1555423200-1555430400@micde.umich.edu
SUMMARY:Statistical analysis with missing data in Python
DESCRIPTION:Missing data arise in many fields of research\, and a large body of statistical tools has been developed to facilitate statistical analysis in the presence of missing data.  Here we focus mainly on multiple imputation\, which is a broadly-applicable approach for working with missing data. We will illustrate through several case studies how multiple imputation allows certain types of missing data to be rigorously accounted for\, while preserving the flexibility to use a variety of familiar statistical tools to account for other aspects of the data.    \nThe analyses presented in this workshop will be performed in Python using the Statsmodels package. All software tools covered in this workshop are free and open source.
URL:https://micde.umich.edu/event/statistical-analysis-with-missing-data-in-python/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190417T130000
DTEND;TZID=America/Detroit:20190417T160000
DTSTAMP:20260607T233304
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000222-1555506000-1555516800@micde.umich.edu
SUMMARY:Sliding into Slurm:  An early look at U-M's new high-performance computing environment
DESCRIPTION:This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users.  We will use the temporary Beta HPC cluster to demonstrate how jobs will be submitted and managed under the new Great Lakes\, Armis2\, and Lighthouse clusters available later this year. \nThere are many differences between the familiar Flux environment and that of the new HPC clusters\, including a new batch scheduling system\, a new interactive batch job environment\, a new HPC web portal\, a new module environment\, and a new on-demand-only job accounting system. \nWe will cover these differences in the workshop\, and provide hands-on training in creating and running job submission scripts in the new HPC environment.  Students are expected to be conversant with the Linux command line and have experience in creating\, submitting\, and troubleshooting PBS batch scripts.
URL:https://micde.umich.edu/event/sliding-into-slurm-an-early-look-at-u-ms-new-high-performance-computing-environment-3/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Data Science,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190423T140000
DTEND;TZID=America/Detroit:20190423T160000
DTSTAMP:20260607T233304
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000216-1556028000-1556035200@micde.umich.edu
SUMMARY:Hands-on session with Python Statsmodels
DESCRIPTION:This semester\, a series of seven workshops was offered by CSCAR illustrating various approaches to statistical analysis using the Python Statsmodels package.  In this session\, we will provide an open forum for people to get hands-on assistance in this environment. Several data sets and suggested analysis goals will be provided\, but participants are also welcome to come with their own data.    \nAttendance at previous workshops in this series is not required. The room for this meeting will not have computers\, so participants must bring their own laptop. If desired\, the instructor can assist with installation of the relevant packages (all of which are free and open source).
URL:https://micde.umich.edu/event/hands-on-session-with-python-statsmodels/
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:20190425T130000
DTEND;TZID=America/Detroit:20190425T160000
DTSTAMP:20260607T233304
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000223-1556197200-1556208000@micde.umich.edu
SUMMARY:Sliding into Slurm:  An early look at U-M's new high-performance computing environment
DESCRIPTION:This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users.  We will use the temporary Beta HPC cluster to demonstrate how jobs will be submitted and managed under the new Great Lakes\, Armis2\, and Lighthouse clusters available later this year. \nThere are many differences between the familiar Flux environment and that of the new HPC clusters\, including a new batch scheduling system\, a new interactive batch job environment\, a new HPC web portal\, a new module environment\, and a new on-demand-only job accounting system. \nWe will cover these differences in the workshop\, and provide hands-on training in creating and running job submission scripts in the new HPC environment.  Students are expected to be conversant with the Linux command line and have experience in creating\, submitting\, and troubleshooting PBS batch scripts.
URL:https://micde.umich.edu/event/sliding-into-slurm-an-early-look-at-u-ms-new-high-performance-computing-environment-4/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Data Science,High Performance Computing,Workshops
END:VEVENT
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