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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210120T100000
DTEND;TZID=America/Detroit:20210120T120000
DTSTAMP:20260603T220057
CREATED:20230905T171256Z
LAST-MODIFIED:20230905T171256Z
UID:10000441-1611136800-1611144000@micde.umich.edu
SUMMARY:Introduction to SPSS: Basics of SPSS
DESCRIPTION:Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ \nSection 1: Basics of SPSS (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-basics-of-spss/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210118T010000
DTEND;TZID=America/Detroit:20210118T160000
DTSTAMP:20260603T220057
CREATED:20230905T171257Z
LAST-MODIFIED:20230905T171257Z
UID:10000437-1610931600-1610985600@micde.umich.edu
SUMMARY:Advanced Graphics Optimization For Data Visualization In Unity3D
DESCRIPTION:Modern 3D game engines and computer hardware can render convincing graphics\, rivaling that of pre-rendered 3D animation. But video games still require special optimization techniques and tricks. This relates directly to perceived capabilities for data visualization and serious applications: we can generate and render thousands of interactive objects. But what about millions? \nThis workshop will go over different techniques to render as many objects as possible at once in Unity3D\, with the context of visualizing data as a point-cloud. Examples will include (but not be limited to) GPU Instancing\, Unity’s Particle System\, and Compute Shaders. It is strongly recommended that attendees be familiar with Unity3D prior to this workshop to get the most out of the session.
URL:https://micde.umich.edu/event/advanced-graphics-optimization-for-data-visualization-in-unity3d-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210112T150000
DTEND;TZID=America/Detroit:20210112T163000
DTSTAMP:20260603T220057
CREATED:20230905T171257Z
LAST-MODIFIED:20230905T171257Z
UID:10000445-1610463600-1610469000@micde.umich.edu
SUMMARY:GIS Fundamentals – I (Coordinate systems)
DESCRIPTION:This is the first 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 understanding for applications\, but we will also touch upon the technical aspects. Most workshops will have at least one hands-on exercise. Typically\, each workshop is divided into one hour of lecture-style presentation and half an hour of hands-on exercises. Unless mentioned otherwise\, we will use R for the hands-on portion. \n\nThere are 100s of coordinate systems and datums available in modern software that provide GIS functionalities. A basic understanding of different coordinate systems\, their strength and limitations\, and conversion between different systems are essential for choosing the right system and manipulating geographically referenced data. In this workshop we will cover the basics of coordinate systems for 2-D GIS from an applied perspective.
URL:https://micde.umich.edu/event/gis-fundamentals-i-coordinate-systems/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201208T170000
DTEND;TZID=America/Detroit:20201208T190000
DTSTAMP:20260603T220057
CREATED:20230905T171257Z
LAST-MODIFIED:20230905T171257Z
UID:10000426-1607446800-1607454000@micde.umich.edu
SUMMARY:Spatial regression models
DESCRIPTION:This lecture-style workshop will introduce relevant concepts and techniques for modelling cross-sectional data observed on regular (such as remote sensing pixels) or irregular (such as Census polygons) lattice. Such data often exhibits spatial dependence and is common across several fields. \n\nWe will cover the following topics: motivating examples from time series; spatial random fields and stationarity; spatial autocorrelation measures including Moran’s I; neighborhood or adjacency matrices that capture spatial dependence; and spatial autoregressive models including their estimation and interpretation. \n\nPlease note that the material will be discussed in a lecture style presentation with little or no hands-on components.  You should know linear regression well.
URL:https://micde.umich.edu/event/spatial-regression-models/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201208T150000
DTEND;TZID=America/Detroit:20201208T170000
DTSTAMP:20260603T220057
CREATED:20230905T171257Z
LAST-MODIFIED:20230905T171257Z
UID:10000425-1607439600-1607446800@micde.umich.edu
SUMMARY:Using Distill for R Markdown
DESCRIPTION:There are a variety of formats available for R markdown beyond ‘standard html’\, one of which is Distill.  Distill is specifically oriented toward presentation of results\, and offers a clean look with additional capabilities for citations\, marginal exposition\, and more.  One can even build an entire website or blog with this format.  This workshop will provide a brief overview and demonstration.\n\nhttps:m-clark.github.io
URL:https://micde.umich.edu/event/using-distill-for-r-markdown/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201208T100000
DTEND;TZID=America/Detroit:20201208T120000
DTSTAMP:20260603T220057
CREATED:20230905T171254Z
LAST-MODIFIED:20230905T171254Z
UID:10000386-1607421600-1607428800@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. The workshop will be done online via BlueJeans. We will run the models using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-9/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201119T133000
DTEND;TZID=America/Detroit:20201119T160000
DTSTAMP:20260603T220057
CREATED:20230905T171255Z
LAST-MODIFIED:20230905T171255Z
UID:10000396-1605792600-1605801600@micde.umich.edu
SUMMARY:Map making in R
DESCRIPTION:The focus of the workshop is twofold: to learn cartography principles for generating single and multivariable choropleth maps\, and explore functionalities of R for generating static and interactive web maps. We will use the COVID19 data available at (https://github.com/nytimes/covid-19-data) and combine it with information from Census and other sources to visualize spatial patterns and make maps. Participants should be proficient in R and vector data GIS.
URL:https://micde.umich.edu/event/map-making-in-r/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201116T130000
DTEND;TZID=America/Detroit:20201116T160000
DTSTAMP:20260603T220057
CREATED:20230905T171255Z
LAST-MODIFIED:20230905T171255Z
UID:10000389-1605531600-1605542400@micde.umich.edu
SUMMARY:Advanced Graphics Optimization For Data Visualization In Unity3D
DESCRIPTION:BlueJeans link will be shared with registered attendees 24 hours before start \nModern 3D game engines and computer hardware can render convincing graphics\, rivaling that of pre-rendered 3D animation. But video games still require special optimization techniques and tricks. This relates directly to perceived capabilities for data visualization and serious applications: we can generate and render thousands of interactive objects. But what about millions? \nThis workshop will go over different techniques to render as many objects as possible at once in Unity3D\, with the context of visualizing data as a point-cloud. Examples will include (but not be limited to) GPU Instancing\, Unity’s Particle System\, and Compute Shaders. It is strongly recommended that attendees be familiar with Unity3D prior to this workshop to get the most out of the session.
URL:https://micde.umich.edu/event/advanced-graphics-optimization-for-data-visualization-in-unity3d/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201110T100000
DTEND;TZID=America/Detroit:20201110T120000
DTSTAMP:20260603T220057
CREATED:20230905T171255Z
LAST-MODIFIED:20230905T171255Z
UID:10000385-1605002400-1605009600@micde.umich.edu
SUMMARY:Image Segmentation using Deep Learning with FastAI
DESCRIPTION:This workshop will demonstrate how to perform 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 BlueJeans. We will run the code using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/image-segmentation-using-deep-learning-with-fastai/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201026T140000
DTEND;TZID=America/Detroit:20201026T153000
DTSTAMP:20260603T220057
CREATED:20230905T171255Z
LAST-MODIFIED:20230905T171255Z
UID:10000415-1603720800-1603726200@micde.umich.edu
SUMMARY: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. (10/19 2-3:30)\nSection 2: Working with Data Sets – Importing\, opening\, and saving data sets. (10/21 2-3:30)\nSection 3: Data Management – The basics of maintaining and exploring a data set. (10/23 2-3:30)\nSection 4: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/26 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 a current version of Stata (version 16) available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed. If you have an older version of Stata\, some material may not work on your system.
URL:https://micde.umich.edu/event/stata-data-manipulation/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201026T130000
DTEND;TZID=America/Detroit:20201026T160000
DTSTAMP:20260603T220057
CREATED:20230905T171255Z
LAST-MODIFIED:20230905T171255Z
UID:10000388-1603717200-1603728000@micde.umich.edu
SUMMARY:Data Visualization With 3D Graphics Using Unity3D and C#
DESCRIPTION:BlueJeans link will be shared with registered attendees 24 hours before start \nVideo game development is more accessible than ever before thanks to modern software tools\, with many options free to download. These tools are also used to program more “serious” applications that require interactive 3D graphics\, from mobile apps\, virtual and augmented reality\, computer vision and artificial intelligence\, and real-time CGI film production. \nUnity3D is a powerful and popular game engine for both hobbyist and professional projects\, able to compile a ‘game’ to almost any computer platform\, and free to download for non-commercial use. This workshop will show how you can use it to render data from research projects in a 3D interactive representation for user analysis and demonstration. \nIn this workshop\, we introduce the Unity3D workspace\, and prepare a demo that allows the user to load an example dataset and view it as a simple set of 3D representations. A basic familiarity with any computer programming language (C# will be used during the session) is recommended to get the most out of the workshop. To take part\, users will be responsible to use their own laptop with Unity3D (available for Windows\, Macintosh and Linux) pre-installed. Additional project files will be provided to registered users ahead of the workshop date.
URL:https://micde.umich.edu/event/data-visualization-with-3d-graphics-using-unity3d-and-c-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201023T140000
DTEND;TZID=America/Detroit:20201023T153000
DTSTAMP:20260603T220057
CREATED:20230905T171255Z
LAST-MODIFIED:20230905T171255Z
UID:10000414-1603461600-1603467000@micde.umich.edu
SUMMARY: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. (10/19 2-3:30)\nSection 2: Working with Data Sets – Importing\, opening\, and saving data sets. (10/21 2-3:30)\nSection 3: Data Management – The basics of maintaining and exploring a data set. (10/23 2-3:30)\nSection 4: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/26 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 a current version of Stata (version 16) available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed. If you have an older version of Stata\, some material may not work on your system.
URL:https://micde.umich.edu/event/stata-data-management/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201021T140000
DTEND;TZID=America/Detroit:20201021T153000
DTSTAMP:20260603T220057
CREATED:20230905T171255Z
LAST-MODIFIED:20230905T171255Z
UID:10000413-1603288800-1603294200@micde.umich.edu
SUMMARY:Stata: Working with Data Sets
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. (10/19 2-3:30)\nSection 2: Working with Data Sets – Importing\, opening\, and saving data sets. (10/21 2-3:30)\nSection 3: Data Management – The basics of maintaining and exploring a data set. (10/23 2-3:30)\nSection 4: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/26 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 a current version of Stata (version 16) available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed. If you have an older version of Stata\, some material may not work on your system.
URL:https://micde.umich.edu/event/stata-working-with-data-sets/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201021T130000
DTEND;TZID=America/Detroit:20201021T170000
DTSTAMP:20260603T220057
CREATED:20230905T171256Z
LAST-MODIFIED:20230905T171256Z
UID:10000419-1603285200-1603299600@micde.umich.edu
SUMMARY:Mixed Models with R
DESCRIPTION:Mixed models are an extremely useful modeling tool for situations in which there is some dependency among observations in the data\, where the correlation typically arises from the observations being clustered in some way. For example\, it is quite common to have data in which we have repeated measurements for the units of observation\, or in which the units of observation are otherwise clustered (e.g. students within school\, cities within geographic region). While there are different ways to approach such a situation\, mixed models are a very common and powerful tool to do so.  In addition\, they have ties to other statistical approaches that further expand their applicability. \nThe goal of this workshop is primarily to provide a sense of when one would use mixed models and how to incorporate a variety of standard techniques.  It is very applied in nature\, and only assumes a basic understanding of standard regression models (and use of R for such models). \nLink: https://m-clark.github.io/mixed-models-with-R/
URL:https://micde.umich.edu/event/mixed-models-with-r-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201020T150000
DTEND;TZID=America/Detroit:20201020T163000
DTSTAMP:20260603T220057
CREATED:20230905T171256Z
LAST-MODIFIED:20230905T171256Z
UID:10000421-1603206000-1603211400@micde.umich.edu
SUMMARY:QGIS-II
DESCRIPTION:This workshop will provide a hands-on exposure to geometrical operations on vector data in QGIS\, and will also cover a few basic operations that combine raster and vector data. The workshop will be especially useful for participants with some exposure to GIS (similar to the material covered in the previous workshop). \nThis workshop is virtual. The presenter will be in touch with more information after you register.
URL:https://micde.umich.edu/event/gis-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201019T140000
DTEND;TZID=America/Detroit:20201019T153000
DTSTAMP:20260603T220057
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000412-1603116000-1603121400@micde.umich.edu
SUMMARY: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:\n\nSection 1: The Basics of Stata – Interacting with Stata. (10/19 2-3:30)\nSection 2: Working with Data Sets – Importing\, opening\, and saving data sets. (10/21 2-3:30)\nSection 3: Data Management – The basics of maintaining and exploring a data set. (10/23 2-3:30)\nSection 4: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/26 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 a current version of Stata (version 16) available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed. If you have an older version of Stata\, some material may not work on your system.
URL:https://micde.umich.edu/event/stata-the-basics-of-stata/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201013T140000
DTEND;TZID=America/Detroit:20201013T170000
DTSTAMP:20260603T220057
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000420-1602597600-1602608400@micde.umich.edu
SUMMARY:R Series II: Programming
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.\n\nThis workshop will help you get more out of R so that you can take your efforts to the next level.\n\n\nPrereq: Some basic experience using R is required (R Series I: Data Wrangling).  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.\n\n\n\nContent Basis: https://m-clark.github.io/data-processing-and-visualization/
URL:https://micde.umich.edu/event/r-series-ii-programming/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201013T100000
DTEND;TZID=America/Detroit:20201013T120000
DTSTAMP:20260603T220057
CREATED:20230905T171254Z
LAST-MODIFIED:20230905T171254Z
UID:10000384-1602583200-1602590400@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. The workshop will be done online via BlueJeans. We will run the models using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-8/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201008T133000
DTEND;TZID=America/Detroit:20201008T160000
DTSTAMP:20260603T220057
CREATED:20230905T171254Z
LAST-MODIFIED:20230905T171254Z
UID:10000395-1602163800-1602172800@micde.umich.edu
SUMMARY:GIS with R
DESCRIPTION:This workshop will expose participants to GIS functionalities in R. We will cover vector and raster data representation\, vector geometric operations\, coordinate representation\, combined raster and vector operations in R. The workshop will be especially useful for participants with some exposure to both GIS and R. \nThis workshop is virtual. The presenter will be in touch with more information after you register.
URL:https://micde.umich.edu/event/gis-with-r/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201007T100000
DTEND;TZID=America/Detroit:20201007T120000
DTSTAMP:20260603T220057
CREATED:20230905T171254Z
LAST-MODIFIED:20230905T171254Z
UID:10000393-1602064800-1602072000@micde.umich.edu
SUMMARY: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 (9/16\, 10am – 12pm) \nSection 2: Variables (9/23\, 10am – 12pm) \nSection 3: Data Management (9/30\, 10am – 12pm) \nSection 4: Basic Statistical Analysis (10/7\, 10am – 12pm) \nIt is strongly encouraged to have SPSS installed on your machine. If you are accessing SPSS through AppsAnywhere on Virtual Sites\, then you will need to set up a link to your Google Drive\, Box\, or Dropbox storage.
URL:https://micde.umich.edu/event/spss-basic-statistical-analysis/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201002T093000
DTEND;TZID=America/Detroit:20201002T120000
DTSTAMP:20260603T220057
CREATED:20230905T171254Z
LAST-MODIFIED:20230905T171254Z
UID:10000418-1601631000-1601640000@micde.umich.edu
SUMMARY:Intermediate SQL
DESCRIPTION:This workshop is a continuation of the Intro to SQL class.  We’ll cover how to create a table schema\, how to insert data into tables and some more intermediate SQL syntax. Attendees should already know basic SQL syntax like JOIN\, WHERE\, BETWEEN\, GROUP BY\, HAVING etc. A web-based tool will be used for the tutorial.
URL:https://micde.umich.edu/event/intermediate-sql-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200930T150000
DTEND;TZID=America/Detroit:20200930T160000
DTSTAMP:20260603T220057
CREATED:20230905T171254Z
LAST-MODIFIED:20230905T171254Z
UID:10000398-1601478000-1601481600@micde.umich.edu
SUMMARY:CoreLogic property data
DESCRIPTION:The University of Michigan library system has licensed a large data set containing real estate transactions\, deeds\, and property tax records for the United States.  The data were collected by the commercial vendor CoreLogic\, and our license allows UM researchers to use the data for research purposes.  These data are of potential interest to researchers in many fields\, as they capture spatial and temporal real estate market conditions\, taxing practices\, and the physical states of millions of residential structures in the US.\n\n \nIn this workshop\, participants will learn to create geographical subsets of the data\, seamlessly integrate it in workflow\, and see examples of research questions where the data can be useful. Participants should know Python and R.
URL:https://micde.umich.edu/event/corelogic-property-data/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200930T100000
DTEND;TZID=America/Detroit:20200930T120000
DTSTAMP:20260603T220057
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000392-1601460000-1601467200@micde.umich.edu
SUMMARY:SPSS: Data Management
DESCRIPTION:Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ \nSection 1: Basics of SPSS (9/16\, 10am – 12pm) \nSection 2: Variables (9/23\, 10am – 12pm) \nSection 3: Data Management (9/30\, 10am – 12pm) \nSection 4: Basic Statistical Analysis (10/7\, 10am – 12pm) \nIt is strongly encouraged to have SPSS installed on your machine. If you are accessing SPSS through AppsAnywhere on Virtual Sites\, then you will need to set up a link to your Google Drive\, Box\, or Dropbox storage.
URL:https://micde.umich.edu/event/spss-data-management/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200929T140000
DTEND;TZID=America/Detroit:20200929T163000
DTSTAMP:20260603T220057
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000417-1601388000-1601397000@micde.umich.edu
SUMMARY:Intro to SQL
DESCRIPTION:Ever want to know how to communicate with a database? You need to know SQL\, a standard programming language for working with relational database management systems in data warehouses or just Microsoft Access. This workshop will cover the basic syntax of SQL. Material will focus mainly on how to query databases. A web-based tool will be used for the tutorial.
URL:https://micde.umich.edu/event/intro-to-sql-7/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200924T140000
DTEND;TZID=America/Detroit:20200924T170000
DTSTAMP:20260603T220057
CREATED:20230905T171252Z
LAST-MODIFIED:20230905T171252Z
UID:10000410-1600956000-1600966800@micde.umich.edu
SUMMARY:R I: Data Wrangling
DESCRIPTION:This workshop will delve into common data processing and exploration techniques using R. The main focus will be on constructing and manipulating R data objects\, and using packages that enhance and facilitate operations that typically arise when dealing with data\, including faster I/O\, variable creation and manipulation\, and grouped operations\, especially as a prelude to visualization. \nLink: https://m-clark.github.io/data-processing-and-visualization/
URL:https://micde.umich.edu/event/r-i-data-wrangling-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200923T100000
DTEND;TZID=America/Detroit:20200923T120000
DTSTAMP:20260603T220057
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000391-1600855200-1600862400@micde.umich.edu
SUMMARY:SPSS: Variables
DESCRIPTION:Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ \nSection 1: Basics of SPSS (9/16\, 10am – 12pm) \nSection 2: Variables (9/23\, 10am – 12pm) \nSection 3: Data Management (9/30\, 10am – 12pm) \nSection 4: Basic Statistical Analysis (10/7\, 10am – 12pm) \nIt is strongly encouraged to have SPSS installed on your machine. If you are accessing SPSS through AppsAnywhere on Virtual Sites\, then you will need to set up a link to your Google Drive\, Box\, or Dropbox storage.
URL:https://micde.umich.edu/event/spss-variables/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200922T100000
DTEND;TZID=America/Detroit:20200922T120000
DTSTAMP:20260603T220057
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000383-1600768800-1600776000@micde.umich.edu
SUMMARY:Introduction to Python's NumPy library
DESCRIPTION:This workshop will introduce you to the NumPy library in Python\, which is useful in scientific computing. We will cover NumPy’s n-dimensional array object and associated functions in depth\, along with related linear algebra and random number capabilities. Some familiarity with Python is expected. The workshop will be done online via BlueJeans. We will run the code using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-pythons-numpy-library-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200917T133000
DTEND;TZID=America/Detroit:20200917T160000
DTSTAMP:20260603T220057
CREATED:20230905T171253Z
LAST-MODIFIED:20230905T171253Z
UID:10000394-1600349400-1600358400@micde.umich.edu
SUMMARY:Introduction to QGIS
DESCRIPTION:This workshop will provide a gentle introduction to GIS concepts and implementation in QGIS. We will cover introductory GIS concepts and will explore the functionalities of QGIS for manipulating and analyzing vector GIS data. The workshop will be especially useful for participants with little or no exposure to GIS. Participants will also learn to generate production quality maps.  No familiarity with QGIS is required. \nThis workshop is virtual. The presenter will be in touch with more information after you register.
URL:https://micde.umich.edu/event/introduction-to-qgis/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200819T140000
DTEND;TZID=America/Detroit:20200819T160000
DTSTAMP:20260603T220057
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000387-1597845600-1597852800@micde.umich.edu
SUMMARY:Building Better Data-Driven Products
DESCRIPTION:This workshop will introduce participants to using R for presenting data-driven results\, with an eye toward reproducible methods. After an introduction to concepts related to reproducible programming and research\, demonstrations of standard R markdown as well as overviews of different formats will be provided\, including exercises. \nPrereq:  Some basic experience using R is required. \nLink: http://m-clark.github.io/data-processing-and-visualization/ \n\n\n\n 
URL:https://micde.umich.edu/event/building-better-data-driven-products/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200818T140000
DTEND;TZID=America/Detroit:20200818T163000
DTSTAMP:20260603T220057
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000371-1597759200-1597768200@micde.umich.edu
SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:A BlueJeans link will be sent to all registered participants.\n\nDeep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level\, Python interface running on top of multiple neural network libraries\, including the popular library TensorFlow. In this workshop\, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs\, as well as image classification using Convolutional Neural Networks (CNNs). We will also look at regularization techniques and how to deal with under- and over-fitting. All examples will use Python; some familiarity with Python is recommended.\n\nThe workshop will be done online via BlueJeans. We will run the models using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-7/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
END:VCALENDAR