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 […]
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 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 […]
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. We will […]
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 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 […]
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 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 […]
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 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 […]
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 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 […]
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). 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 […]
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 basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, […]
OVERVIEW This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created […]