The Research Computing Center conducts workshops on a variety of topics relevant to research computing. Past workshop topics have included introductory, intermediate, and advanced seminars on programming languages; data management tools and best practices; and sessions focused on using Midway and other RCC resources. All workshops are held in RCC's Data Visualization Lab in the Kathleen A. Zar Room in the Crerar Library. They are generally structured as a brief lecture followed by a hands-on session.

In addition to workshops led by RCC staff, the Research Computing Center routinely invites industry experts and hardware and software vendors to teach courses focused on specific systems.

Current workshops

2019 RCC Spring Workshop Series

 

Title

Date

Time

Presenter

Level

Location

Introduction to Python programming

4/2/2019

2-5 pm

Jonathan Skone

Basic

Zar Room

Large-Scale Data Analysis in R

4/11/2019

2–5 pm

Peter Carbonetto

Advanced

Zar Room

Analysis of Genetic Data 1: inferring population structure

4/16/2019

2–5 pm

Peter Carbonetto

Intermediate

Zar Room

Introduction to Spatial Raster data with R

4/18/2019

2-5 pm

Parmanand Sinha

Intermediate

Zar Room

Analysis of Genetic Data 2: mapping genome-wide associations

4/23/2019

2–5 pm

Peter Carbonetto

Intermediate

Zar Room

Introduction to Autoencoders

4/30/2019

2–6 pm

Igor Yakushin

Advanced

Zar Room

Advanced Methods for Textual Analysis: Stylometry, Topic Modeling and Text Visualizations

5/7/2019

2–4 pm

Jeffrey Tharsen

Intermediate

Zar Room

Optimizing Performance with Intel AVX

5/9/2019

2-4 pm

Yuxing Peng

Intermediate

Zar Room

Introduction to Network Analysis and Visualization

5/16/2019

2-4 pm

Kazutaka Takahashi

Intermediate

Zar Room

Introduction to Geocoding

5/21/2019

2–5 pm

Parmanand Sinha

Basic

Zar Room

Introduction to GPU programming with OpenACC

5/28/2019

2-4 pm

Hossein Pourreza

Intermediate

Zar Room

In-situ Visualization: Visualizing Simulation Data as they are Generated

6/4/2019

2–4 pm

Teodora Szasz

Advanced

Zar Room

 

A note about experience levels

The RCC communicates the expertise needed to get the most out of a workshop by labeling it with an experience level. An Introductory level workshop presupposes little or no familiarity with the topic at hand. An Intermediate level workshop requires some degree of familiarity with the methods being used. An Advanced level workshop is for users who are already fluent with the methods and tools involved.

Each workshop's description includes the workshop's experience level (Click on course title for details). If you are unsure whether a given workshop will be taught at too advanced or too basic a level for you, feel free to contact the RCC for information.

Below is a small selection of previous workshops we have offered:

  • 3D Visualization Day: Amira and Avizo
  • Advanced Tutorial on Stata
  • Analysis of Genetic Data, Part 1
  • Analysis of Genetic Data, Part 2
  • Big-Data movement made easy: An Introduction to Globus-Online (CI - RCC)
  • Computational Quantum Chemistry at the RCC
  • Computational Tools for Bio/Chemists
  • COMSOL 5.0 & Application Builder Workshop
  • Data Visualization Strategies and Digital Cartography (D3)
  • Debugging and Optimization on Midway with Allinea's DDT Parallel Debugger
  • Designing Interactive Data Visualizations (D3/Javascript)
  • Dissecting LAMMPS: An Open Development Environment for Particle Systems Simulation
  • GPU Accelerations in MD Simulations and QM Calculations
  • GPU Computing with NVIDIA
  • GPU-CUDA Programming
  • Hands-on Parallel Programming with OpenMP
  • HPC for Molecular Engineering
  • Image Analysis in Python
  • Intel Software for High-Performance Parallel Applications
  • Intel Software Tools: Compilers, Libraries, and Parallelism
  • Interactive Visualization with iPython and Jupyter Notebook
  • Introduction to Data Visualization
  • Introduction to GPU Computing with CUDA
  • Introduction to Hadoop
  • Introduction to Linux
  • Introduction to Midway2
  • Introduction to Python
  • Introduction to R: the Power of the Data Frame
  • Introduction to Stata
  • Introduction to the Digital Humanities
  • Introduction to the Research Computing Center
  • Introduction to Unix at the Research Computing Center
  • Job Scheduling on Midway
  • MATLAB Optimization
  • MPI + OpenMP: A Hybrid Scheme of Parallel Programming and Computing
  • Parallel Computing with MATLAB
  • Parallel Programming and Optimization for Intel Architecture
  • Parallel Programming Using MPI
  • Practical Introduction to Midway
  • Programming with SWIFT Scripts
  • Project Management Tools at RCC
  • Python for HPC
  • Research Data Management Resources at UChicago
  • Running and Optimizing Your Code on Midway
  • Speed Up Your Python
  • Stata: Data Management, Analysis, and Graphic Fundamentals
  • Text Analysis and Visualization Strategies for Digital Humanists
  • Understanding Image Segmentation
  • VSCSE Data Intensive Summer School