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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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TZID:America/Detroit
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20201026T130000
DTEND;TZID=America/Detroit:20201026T160000
DTSTAMP:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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:20260603T231234
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
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200724T140000
DTEND;TZID=America/Detroit:20200724T160000
DTSTAMP:20260603T231234
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000379-1595599200-1595606400@micde.umich.edu
SUMMARY:Geostatistics – II
DESCRIPTION:In many situations\, we observe a process over a limited number of locations and are interested in estimating its values at nearby unsampled locations. Geostatistical methods provide a powerful tool to do this. In this session\, we will build upon the material and intuitions covered in the first workshop. We will focus on the principles\, application\, and interpretation of results using R\, and will cover topics such as variogram modeling\, empirical variogram\, estimation techniques\, and prediction uncertainty. \n\nYou should be familiar with R and the basic concepts of GIS data\, should have taken an introductory course in statistics\, and know the basics of linear algebra.
URL:https://micde.umich.edu/event/geostatistics-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200720T130000
DTEND;TZID=America/Detroit:20200720T160000
DTSTAMP:20260603T231234
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000367-1595250000-1595260800@micde.umich.edu
SUMMARY:Wear OS: Creating A Watchface For Your Android Smartwatch
DESCRIPTION:A BlueJeans link will be sent to all registered participants. \nSmartwatches are multi-functional devices that can be worn on the wrist. They can read your heartbeat\, notify you of messages from your phone\, and can even tell the time! Google’s “Wear OS” is a branch of the Android mobile operating system\, and it encourages open app development. \nThis is the first of two workshops to introduce programming for a Wear OS watch. This will introduce some of the functions of a smartwatch\, through the programming and design of a new watchface. Participants will learn how to design a custom watchface using Java and Android Studio\, with a step-by-step example.
URL:https://micde.umich.edu/event/wear-os-creating-a-watchface-for-your-android-smartwatch/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200715T140000
DTEND;TZID=America/Detroit:20200715T160000
DTSTAMP:20260603T231234
CREATED:20230905T171251Z
LAST-MODIFIED:20260401T202047Z
UID:10000380-1594821600-1594828800@micde.umich.edu
SUMMARY:Efficient Data Exploration
DESCRIPTION:Tired of using `table` and `summary`?  Or repeatedly using a `group_by %>% summarise` approach?  Many are still using R inefficiently to summarize data\, especially for presentation. However\, data needs to be explored before modeling can take place\, both to familiarize oneself with the strengths and limitations of the data\, as well as to diagnose errors or spot potential problems that might arise.  So how can we do this sort of thing better?\n\nThis workshop will demonstrate the capabilities of several packages that might be of interest to those seeking a more automatic way to summarize their data before analysis\, or simply to share with others.
URL:https://micde.umich.edu/event/efficient-data-exploration/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200714T140000
DTEND;TZID=America/Detroit:20200714T163000
DTSTAMP:20260603T231234
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000370-1594735200-1594744200@micde.umich.edu
SUMMARY:Introduction to Python's NumPy library
DESCRIPTION:A BlueJeans link will be sent to all registered participants.\n\nThis 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. \nThe 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-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200706T140000
DTEND;TZID=America/Detroit:20200706T160000
DTSTAMP:20260603T231234
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000378-1594044000-1594051200@micde.umich.edu
SUMMARY:Mapping tools for COVID-19 data – II
DESCRIPTION:This is the second workshop in this series and will build on the material and the techniques covered in the first workshop. We will use COVID-19 data available here https://github.com/nytimes/covid-19-data\, combine it with other data such as from Census and will learn about creating maps\, including web maps\, that involve more than one variable. \n\nWe will use R and QGIS. You should know the basics of vector data GIS and introductory techniques of classification and clustering\, be a regular R user\, and should have some familiarity with QGIS.
URL:https://micde.umich.edu/event/mapping-tools-for-covid-19-data-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200616T140000
DTEND;TZID=America/Detroit:20200616T163000
DTSTAMP:20260603T231234
CREATED:20230905T171251Z
LAST-MODIFIED:20230905T171251Z
UID:10000369-1592316000-1592325000@micde.umich.edu
SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:A BlueJeans link will be sent to all registered participants. \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. \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-6/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200615T130000
DTEND;TZID=America/Detroit:20200615T150000
DTSTAMP:20260603T231234
CREATED:20230905T171250Z
LAST-MODIFIED:20230905T171250Z
UID:10000366-1592226000-1592233200@micde.umich.edu
SUMMARY:SRTI: Software For Cross-Language Real-Time Data Communication
DESCRIPTION:A BlueJeans link will be sent to all registered participants. \nComputer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors\, and allow scientists to test different models to guide real-world research. However\, these can be individually complex\, and written in different computer languages and programs. It’s a difficult task to combine simulators from different parts of a research team to represent larger systems. \nThe “Simple Run-Time Infrastructure” is an open-source\, free-to-use software tool\, developed at the University of Michigan. It was built to simplify the process of sharing data between multiple live simulators\, using a “publish/subscribe” model with messages rather than directly to specific programs. This workshop will present the background of the SRTI’s development\, what it is capable of\, and will provide a step-by-step example for participants. \nJava will be required to run the SRTI. The example will use an optional mixture that includes simulators written in Java\, Matlab\, and Python.
URL:https://micde.umich.edu/event/srti-software-for-cross-language-real-time-data-communication/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200610T140000
DTEND;TZID=America/Detroit:20200610T160000
DTSTAMP:20260603T231234
CREATED:20230905T171345Z
LAST-MODIFIED:20230905T171345Z
UID:10000377-1591797600-1591804800@micde.umich.edu
SUMMARY:R IV: Visualization
DESCRIPTION:This session will be held online\, and presenters will be in touch with more information after you register.\n\nVisualizing the results of research is a key aspect in facilitating scientific communication to a broad audience. The focus of this workshop will be on using common tools in R for visualization\, general concerns in producing visual information\, and demonstration of approaches that allow for interactivity.\n\n\nPrereq: Some experience using R is required (R I\, preferably R II workshops)\, as well as exposure to basic statistical analysis would be beneficial.\n\n\nContent: http://m-clark.github.io/data-processing-and-visualization/
URL:https://micde.umich.edu/event/r-iv-visualization/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200608T140000
DTEND;TZID=America/Detroit:20200608T163000
DTSTAMP:20260603T231234
CREATED:20230905T171345Z
LAST-MODIFIED:20230905T171345Z
UID:10000365-1591624800-1591633800@micde.umich.edu
SUMMARY:Mapping tools to visualize COVID19 data
DESCRIPTION:This session will be held online\, and presenters will be in touch with more information after you register.\n\nThis workshop will help you learn the approaches and tools to visualize spatial data using R and QGIS. 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 production quality maps.\n\nParticipants should have some exposure to R and vector data GIS.
URL:https://micde.umich.edu/event/mapping-tools-to-visualize-covid19-data/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200601T150000
DTEND;TZID=America/Detroit:20200601T170000
DTSTAMP:20260603T231234
CREATED:20230905T171345Z
LAST-MODIFIED:20230905T171345Z
UID:10000376-1591023600-1591030800@micde.umich.edu
SUMMARY:CSCAR/MIDAS Workshop on Data\, Methodology\, and Covid
DESCRIPTION:Zoom link:  https://umich.zoom.us/j/99072338239 \n  \nThe second CSCAR/MIDAS workshop on Data\, Methodology\, and Covid will focus on Covid testing and mortality data from the Covid Tracking Project (covidtracking.com) and Worldometer (worldometer.com).  We will develop insight into how the reported PCR testing data from various US states\, and from different countries\, can be informative about Covid deaths in those localities.  We will also discuss some of the challenges of estimating the “infection fatality ratio” with this type of data\, and conduct some sensitivity analyses to see what the IFR would be in different settings. \nThe workshop will use intermediate statistical methods (to be reviewed in the workshop)\, and computations will be done in Python.  Notebooks and links to data will be provided.
URL:https://micde.umich.edu/event/cscar-midas-workshop-on-data-methodology-and-covid/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
END:VCALENDAR