Bio: Michael J. Shelley is an American applied mathematician who works on the modeling and simulation of complex systems arising in physics and biology. He holds a BA in Mathematics from the University of Colorado (1981) and a PhD in Applied Mathematics from the University of Arizona (1985). He was a postdoctoral researcher at Princeton […]
Lois graduated from Michigan in the Fall 2016 with a PhD from the AOSS (now Climate and Space Sciences and Engineering) department and was an MICDE fellow and is Certificate in Computational Discovery & Engineering alumni. Since graduating, she has been in industry working as a data scientist (iSpot, Microsoft). She is back on campus […]
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 […]
Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. TensorFlow is a popular software library that is often used to construct and train DNNs. In this workshop, participants will learn how to quickly use the high-level TensorFlow Estimator module to perform nonlinear regression and classification with standard fully connected DNNs. We will also show […]
After the MICDE symposium join us at the Ann Arbor Brewing Co. – Tap Room. We will provide the appetizers and non-alcoholic drinks. Hope to see you there! Please RSVP here
This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples. Please bring a laptop if would like to try the examples during the session, but it is not necessary, since the examples will […]
Connecting atomistic simulations, defect-based theories and continuum plasticity in amorphous solids
Modern computers have a CPU with multiple cores (usually between 4-8). Come learn how to take advantage of them to parallelize and speed up your code. We’ll show you how to structure your code so you can parallelize it in 5 lines or less. We will also cover some theory, a few practical considerations along […]
Massively Parallel Simulations of Hemodynamics in the Human Vasculature