OVERVIEW This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the […]
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, […]
Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sparsely sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. In a series of three workshops, we will cover the basics of Geostatistics. […]
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 […]
Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. In a series of three workshops, we are covering the basics of Geostatistics. In […]
This is part 1 of a 5-part series of workshops on programming in R. This week, we’ll discuss the following topics: creation and naming of objects, R’s global environment, arithmetic operations, R’s package system, and reading and writing data. These workshops follow a hybrid format: a week before the scheduled meeting time participants will be […]
Mobile app development is one of the biggest new industries of the last decade. As of 2017, Google and Apple (the creators of Android and iOS, respectively) confirmed a combined total of over 3 billion devices (including smartphones, smartwatches, and much more) around the globe using their mobile operating systems. The capabilities and built-in sensors […]
Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. In a series of three workshops, we will cover the basics of Geostatistics. In […]
OVERVIEW Python has become a very popular programming language and software ecosystem for work in Data Science, integrating support for data access, data processing, modeling, machine learning, and visualization. In this webinar, we will describe some of the key Python packages that have been developed to support that work, and highlight some of their capabilities. […]
This is part 2 of a 5-part workshop series on programming in R. This week, we’ll discuss the following topics: vectors, types, lists, and data frames. You’ll learn about indexing each of these objects and using `subset()`, `aggregate()`, and `merge()` for working with data frames. These workshops follow a hybrid format: a week before the […]