This workshop will introduce the Julia programming language, with a focus on using Julia for data analysis. No prior exposure to Julia is needed. We will discuss some aspects of the core language, cover some basic techniques for data manipulation, and fit a model using linear regression.
Audience: Never before SPSS users who will be using SPSS for Windows. Those using SPSS for Unix or Macintosh should email the instructor at [email protected] before enrolling. Fundamentals This portion introduces SPSS for Windows, the menu and the help systems, the three main types of files used, and printing from within SPSS. It then addresses defining variables, attaching labels, defining […]
This workshop will delve into common data processing and exploration techniques using R. The main focus will be on constructing and manipulating R data objects, and using packages that enhance and facilitate operations that typically arise when dealing with data, including faster I/O, variable creation and manipulation, and grouped operations, especially as a prelude to […]
Bio: Professor Wetzel is an assistant professor in the physics department and in the astrophysics and cosmology group at the University of California, Davis. He is a theoretical/computational astrophysicist and cosmologist. Using the world’s most powerful supercomputers, he generates cosmological simulations to model the formation of cosmic structures, including galaxies and their stars. He uses […]
This workshop will cover regression analysis using linear models and least squares in Python. We will discuss the goals and main use-cases for linear regression, and how to interpret a fitted linear model. We will then discuss methods for fitting more complex models with larger data sets, including the use of interactions, dummy-coding of categorical […]
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 […]
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, […]
In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning commonly used tools and programming patterns. The “Analyzing RECS using tidyverse” workshop will focus on analyzing winter home temperatures in the US using data from the Residential Energy Consumption Survey (https://www.eia.gov/consumption/residential/). We’ll use the tidyverse (tidyverse.org) throughout, relying on […]
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 […]
Due to unforeseen circumstances the originally scheduled talk by Professor Brandon Johnson has been cancelled and replaced with the following seminar. Theoretical and Computational Contributions to the Modeling of Global Tsunamis The distribution of tsunami amplitudes in the open ocean is controlled by source mechanism as well as bathymetry geometry and resolution, with the latter […]