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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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DTSTART;TZID=America/Detroit:20200601T150000
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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
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200608T140000
DTEND;TZID=America/Detroit:20200608T163000
DTSTAMP:20260607T074610
CREATED:20230905T171345Z
LAST-MODIFIED:20230905T171345Z
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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
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200610T140000
DTEND;TZID=America/Detroit:20200610T160000
DTSTAMP:20260607T074610
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
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200615T130000
DTEND;TZID=America/Detroit:20200615T150000
DTSTAMP:20260607T074610
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:20200616T140000
DTEND;TZID=America/Detroit:20200616T163000
DTSTAMP:20260607T074610
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
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