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X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210203T100000
DTEND;TZID=America/Detroit:20210203T120000
DTSTAMP:20260606T203620
CREATED:20230905T171258Z
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SUMMARY:Introduction to SPSS: Data Management
DESCRIPTION:Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ \nSection 1: Basics of SPSS (1/20\, 10am – 12pm) \nSection 2: Variables (1/27\, 10am – 12pm) \nSection 3: Data Management (2/3\, 10am – 12pm) \nSection 4: Basic Statistical Analysis (2/10\, 10am – 12pm) \nIt is strongly encouraged to have SPSS installed on your machine. If you are accessing SPSS through AppsAnywhere on Virtual Sites\, then you will need to set up a link to your Google Drive\, Box\, or Dropbox storage.
URL:https://micde.umich.edu/event/introduction-to-spss-data-management/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210203T153000
DTEND;TZID=America/Detroit:20210203T170000
DTSTAMP:20260606T203620
CREATED:20230905T171258Z
LAST-MODIFIED:20230905T171258Z
UID:10000447-1612366200-1612371600@micde.umich.edu
SUMMARY:GIS Fundamentals – III (Geocoding)
DESCRIPTION:This is the third workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS 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. \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 degrees of accuracy. A basic understanding of the process helps you in choosing the best option. We will use R and ArcGIS for exercises
URL:https://micde.umich.edu/event/gis-fundamentals-iii-geocoding/
LOCATION:Your Desktop
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210210T100000
DTEND;TZID=America/Detroit:20210210T120000
DTSTAMP:20260606T203620
CREATED:20230905T171258Z
LAST-MODIFIED:20230905T171258Z
UID:10000444-1612951200-1612958400@micde.umich.edu
SUMMARY:Introduction to SPSS: Basic Statistical Analysis
DESCRIPTION:Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ \nSection 1: Basics of SPSS (1/20\, 10am – 12pm) \nSection 2: Variables (1/27\, 10am – 12pm) \nSection 3: Data Management (2/3\, 10am – 12pm) \nSection 4: Basic Statistical Analysis (2/10\, 10am – 12pm) \nIt is strongly encouraged to have SPSS installed on your machine. If you are accessing SPSS through AppsAnywhere on Virtual Sites\, then you will need to set up a link to your Google Drive\, Box\, or Dropbox storage.
URL:https://micde.umich.edu/event/introduction-to-spss-basic-statistical-analysis/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210212T150000
DTEND;TZID=America/Detroit:20210212T163000
DTSTAMP:20260606T203620
CREATED:20230905T171258Z
LAST-MODIFIED:20230905T171258Z
UID:10000448-1613142000-1613147400@micde.umich.edu
SUMMARY:GIS Fundamentals – IV (Digitization)
DESCRIPTION:This is the fourth workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS 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. \nIn many fields old paper maps and images provide historical and time series information and need to be digitized with spatially explicit coordinates. In this workshop we will develop a basic understanding of how to efficiently digitize paper maps and images that contain spatial information. We will use ArcGIS and R for the hands-on part.
URL:https://micde.umich.edu/event/gis-fundamentals-iv-digitization/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210222T140000
DTEND;TZID=America/Detroit:20210222T153000
DTSTAMP:20260606T203620
CREATED:20230905T171258Z
LAST-MODIFIED:20230905T171258Z
UID:10000434-1614002400-1614007800@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/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210223T100000
DTEND;TZID=America/Detroit:20210223T120000
DTSTAMP:20260606T203620
CREATED:20230905T171258Z
LAST-MODIFIED:20230905T171258Z
UID:10000430-1614074400-1614081600@micde.umich.edu
SUMMARY:Image Segmentation using Deep Learning with FastAI
DESCRIPTION:Like many image processing problems\, deep learning has brought many effective solutions to the task of image segmentation. This workshop will introduce you to the methods used in image segmentation\, demonstrate how to prepare your own segmentation masks using Matlab\, and guide you through performing image segmentation using the FastAI [fast.ai] Python library\, which is built on the deep learning library PyTorch. Some familiarity with Python is expected\, but no previous experience with FastAI or PyTorch is needed. The workshop will be done online via Zoom. We will run the code using Google Colab (with free-to-use GPUs)\, which requires a Google account.
URL:https://micde.umich.edu/event/image-segmentation-using-deep-learning-with-fastai-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210224T130000
DTEND;TZID=America/Detroit:20210224T150000
DTSTAMP:20260606T203620
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000438-1614171600-1614178800@micde.umich.edu
SUMMARY:Software Development For Research: Best Practices for Coding Styles
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. Having a consistent coding style and following basic best practices used in the industry can help make your code easier to read and manage\, both internally in your teams and for public code projects available to other researchers. This workshop will cover some general guidelines and suggestions to clean up your coding style. Attendees will learn helpful tips for computer coding and how to make their code readable to other collaborators. \nThis is part of a series of workshops focused on software and coding from a research perspective.
URL:https://micde.umich.edu/event/software-development-for-research-best-practices-for-coding-styles/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210224T140000
DTEND;TZID=America/Detroit:20210224T153000
DTSTAMP:20260606T203620
CREATED:20230905T171259Z
LAST-MODIFIED:20230905T171259Z
UID:10000436-1614175200-1614180600@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:\n\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)\n\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.\n\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/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210224T140000
DTEND;TZID=America/Detroit:20210224T170000
DTSTAMP:20260606T203620
CREATED:20230905T171259Z
LAST-MODIFIED:20260605T170120Z
UID:10000454-1614175200-1614186000@micde.umich.edu
SUMMARY:Using GPUs with Python
DESCRIPTION:Python is the Lingua Franca of Data today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on GPUs. The primary tools\, Numba and CuPy\, are presented with examples. Back by popular demand\, this workshop is presented by Kristopher Keipert of NVIDIA. \nThis event is open to students\, faculty\, and staff within the University of Michigan community. A Jupyter notebook is used along with a set of lecture slides. The workshop will use online tools\, so there is no need to install any software ahead of time. \nThis event is brought to you by the Michigan Institute for Computational Discovery and Engineering\, and Consulting for Statistics\, Computing & Analytics Research at the University of Michigan in partnership with NVIDIA. \nSpace is limited\, register today!
URL:https://micde.umich.edu/event/using-gpus-with-python-4/
LOCATION:Your Desktop
CATEGORIES:Featured Events,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210224T140000
DTEND;TZID=America/Detroit:20210224T170000
DTSTAMP:20260606T203620
CREATED:20230905T171259Z
LAST-MODIFIED:20230905T171259Z
UID:10000016-1614175200-1614186000@micde.umich.edu
SUMMARY:Using GPUs with Python
DESCRIPTION:Python is the Lingua Franca of Data today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on GPUs. The primary tools\, Numba and CuPy\, are presented with examples. This workshop is presented by Kristopher Keipert of NVIDIA.\nThis event is open to students\, faculty\, and staff within the University of Michigan community. A Jupyter notebook is used along with a set of lecture slides. The workshop will use online tools\, so there is no need to install any software ahead of time.\nThis event is brought to you by the Michigan Institute for Computational Discovery and Engineering\, and Consulting for Statistics\, Computing & Analytics Research at the University of Michigan in partnership with NVIDIA.\nSpace is limited\, register today!
URL:https://micde.umich.edu/event/using-gpus-with-python-3-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210225T160000
DTEND;TZID=America/Detroit:20210225T170000
DTSTAMP:20260606T203620
CREATED:20230905T171259Z
LAST-MODIFIED:20230905T171259Z
UID:10000455-1614268800-1614272400@micde.umich.edu
SUMMARY:CoreLogic property data
DESCRIPTION:The University of Michigan library system has licensed a large data set containing real estate transactions\, deeds\, and property tax records for the United States.  The data were collected by the commercial vendor CoreLogic\, and our license allows UM researchers to use the data for research purposes.  These data are of potential interest to researchers in many fields\, as they capture spatial and temporal real estate market conditions\, taxing practices\, and the physical states of millions of residential structures in the US.\n\n \nIn this workshop\, participants will learn to create geographical subsets of the data\, seamlessly integrate it in workflow\, and see examples of research questions where the data can be useful. Participants should know Python and R.
URL:https://micde.umich.edu/event/corelogic-property-data-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210226T140000
DTEND;TZID=America/Detroit:20210226T153000
DTSTAMP:20260606T203620
CREATED:20230905T171259Z
LAST-MODIFIED:20230905T171259Z
UID:10000435-1614348000-1614353400@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:\n\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)\n\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.\n\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/
LOCATION:Your Desktop
CATEGORIES:Workshops
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