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May 2020
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Advanced research computing on the Great Lakes Cluster
OVERVIEW This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and…
June 2020
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CSCAR/MIDAS Workshop on Data, Methodology, and Covid
Zoom link: https://umich.zoom.us/j/99072338239 The 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). …
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Mapping tools to visualize COVID19 data
This session will be held online, and presenters will be in touch with more information after you register. This workshop will help you learn the approaches and tools to visualize…
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R IV: Visualization
This session will be held online, and presenters will be in touch with more information after you register. Visualizing the results of research is a key aspect in facilitating scientific…
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SRTI: Software For Cross-Language Real-Time Data Communication
A BlueJeans link will be sent to all registered participants. Computer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors, and…
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Introduction to Deep Neural Networks with Keras/TensorFlow
A BlueJeans link will be sent to all registered participants. 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…
July 2020
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Mapping tools for COVID-19 data – II
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…
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Introduction to Python’s NumPy library
A BlueJeans link will be sent to all registered participants. 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…
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Efficient Data Exploration
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…
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Wear OS: Creating A Watchface For Your Android Smartwatch
A BlueJeans link will be sent to all registered participants. Smartwatches are multi-functional devices that can be worn on the wrist. They can read your heartbeat, notify you of messages from…