This is a three-session workshop on the use of Go for data processing. Go is an open source language developed for general-purpose programming. It is not more difficult to learn and use than a high-level scripting language like Python, but it is strongly typed, statically compiled, and provides native support for concurrency, leading to much […]
This event is open to the public. Daniel Forger, Professor of Mathematics and Computational Medicine and Bioinformatics James Kibbie, Professor of Music and Chair of the Organ Department, University Organist Caleb Mayer, Graduate Student Research Assistant (Mathematics) Sarah Simko, Graduate Student Research Assistant (Organ Performance) With support from the Data Science for Music Challenge Initiative […]
This is a three-session workshop on the use of Go for data processing. Go is an open source language developed for general-purpose programming. It is not more difficult to learn and use than a high-level scripting language like Python, but it is strongly typed, statically compiled, and provides native support for concurrency, leading to much […]
This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users. We will use the temporary Beta HPC cluster to demonstrate how jobs will be submitted and managed under the new Great Lakes, Armis2, and Lighthouse clusters available later this year. There are many […]
FUTURE OF SIMULATION-BASED PRODUCT INNOVATION IN THE DIGITAL WORLD
Mediation analysis is a set of tools for exploring hypotheses about causal pathways, with a special focus on differentiating “direct” from “mediated” associations between an exposure and an outcome. Many approaches to mediation analysis are based on regression analysis. In this workshop, we will cover some of the basic ideas behind regression-based mediation analysis, and […]
The MICDE 2019 Symposium will feature eminent scientists from around the world and the U-M campus.
This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network, but the ideas and techniques apply to similar network such as water and electric distribution and gas pipelines. We will primarily use open source tools in R and QGIS, but will also […]
This workshop will provide an overview of how to scrape data from html pages and website APIs using Python. This will mostly be accomplished using the requests, beautifulsoup, retry modules and the browser developer tools. The workshop is intended for users with basic Python knowledge. Anaconda Python 3.5 will be used.
Missing data arise in many fields of research, and a large body of statistical tools has been developed to facilitate statistical analysis in the presence of missing data. Here we focus mainly on multiple imputation, which is a broadly-applicable approach for working with missing data. We will illustrate through several case studies how multiple imputation […]