Workshops and Training

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The Research Computing Center (RCC) 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. They are generally structured as a brief lecture followed by a hands-on session.

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

2022-2023 RCC Workshop Series

Winter Workshops

Title	Date	Time & Location	Presenter	Level	Materials
Introduction to the Research Computing Center	Jan 24th	2 - 4 PM, Zar Room	Ross Hyman	Introductory
Running jobs on RCC systems using the SLURM batch scheduler and Best Practices	Feb 3rd	2 - 4 PM, Zar Room	Debasmita Samaddar	Introductory
Analysis of Genetic Data 1: Inferring population structure	Feb 7th	2 - 4 PM, Zar Room	Peter Carbonetto	Intermediate
Writing Clean Code in Python	Feb 9th	2 - 4 PM, Zar Room	Aleksandr Lykhin	Introductory
Using GPUs with Python	Feb 14th	1 - 3 PM, Virtual	Trung Nguyen (+NVIDIA)	Intermediate
Computational reproducibility through virtual environment and Containerization	Feb 16th	2 - 4 PM, Zar Room	Parmanand Sinha	Introductory
Running Machine Learning Pipelines on RCC High Performance Computing (HPC) Systems	Feb 23rd	2 - 4 PM, Zar Room	J.D. Laurence-Chasen	Introductory

Fall Workshops

Title	Date	Time & Location	Presenter	Level	Materials
Introduction to the Research Computing Center	Oct 13th	2 - 4 PM, Zar Room	Trung Nguyen	Introductory
Large-scale data analysis in R	Nov 15th	2 - 4 PM, Zar Room	Peter Carbonetto	Advanced
Introduction to Deep Learning Models in GIS	Nov 16th	2 - 4 PM, Zar Room	Parmanand Sinha	Intermediate
Running Machine Learning Pipelines on RCC's HPC Systems	Dec 1st	2 - 4 PM, Zar Room	Teodora Szasz/J.D. Laurence-Chasen	Introductory
Parallelization in time - a new dimension to exploit supercomputing	Dec 6th	2 - 4 PM, Zar Room	Debasmita Samaddar	Intermediate

2021-2022 RCC Workshop Series

Summer Workshops (completed)

Title	Date	Time and length	Presenter	Level	Materials
Introduction to the RCC	June 28th	2 pm - 2 hours	Debasmita Samaddar	Introductory
Creating Interactive Plots in Python	July 14th	2 pm - 2 hours	Brooke Luetgert	Intermediate
Introduction to Machine Learning in GIS	July 19th	2 pm - 2 hours	Parmanand Sinha	Intermediate
Introduction to R for Data Analysis	July 26th	2 pm - 2 hours	Peter Carbonetto	Intermediate
Job scheduling on Slurm - Best Practices	Aug 2nd	2 pm - 2 hours	Debasmita Samaddar	Introduction
ArtAI: Making Art with AI	Aug 9th	2 pm - 2 hours	J.D. Laurence-Chasen and Teodora Szasz	Intermediate

Spring Workshops (completed)

Title	Date	Time and length	Presenter	Level	Materials
Introduction to the RCC	April 5th	2-4 PM In person	Parmanand Sinha	Introductory
Running jobs on RCC systems using the SLURM batch scheduler and Best Practices	April 12th	2-4 PM In person	Trung Nguyen	Introductory	Link(GitHub)
Introduction to GPU Software and Tools on Midway	April 26th	2-4 PM virtual	John Parker (+NVIDIA)	Introductory
Deep Learning for Medical Image Analysis	May 10th	2-4 pm	Teodora	introductory
Analysis of Genetic Data 2: Mapping Genome-wide Associations	May 17th	2-4 PM In person	Peter Carbonetto	Intermediate	Link(GitHub)
Getting Started with Text Analysis in Python	May 24th	2-4 PM In person	Brooke Luetgert	Introductory	Link(GitHub)

Winter Workshops (Completed)

Title	Date	Presenter	Level	Materials
Introduction to the RCC	Jan 11th	John Parker	Introductory
Running jobs on RCC systems using the SLURM batch scheduler and Best Practices	Jan 18th	Peter Carbonetto	Introductory
Hands-on workshop on Geo-coding	Feb 1	Parmanand	Introductory	Link (GitHub)
Parallel Programming in Python	Feb 15	Kaihua Ding & John Parker	Intermediate	Link (GitHub)
Introduction to Tensorflow	Feb 22	Kaihua Ding	Introductory	Link (GitHub)
Impactful Data Visualization	Mar 1	Teodora Szasz and Lydia (Visualization Engineer @ Nike))	Introductory
Creating Interactive Plots in Python	Mar 8	Brooke Luetgert	Intermediate
Analysis of Genetic Data 1: inferring population structure	Mar 15	Peter Carbonetto	Intermediate

Fall Workshops (completed)

Title	Date	Presenter	Level	Materials
Introduction to the Research Computing Center	Oct 12th	Parmanand Sinha	Introductory
Running jobs on RCC systems using the SLURM batch scheduler and Best Practices	Oct 14th	Kaihua Ding	Introductory
Introduction to Geo-spatial Computation	Oct 19th	Parmanand Sinha	Intermediate	GitHub
Managing Research Data with Globus	Oct 20th	Globus	All levels	Link
Fundamentals of Deep Learning (Remote)	Oct 26th	NVIDIA	Introductory	Info
Data Analysis With MATLAB (Remote)	Oct 28th	MATLAB	All levels
Introduction to the Digital Humanities	Nov 5th	Jeff Tharsen	Introductory
Best Coding Practices for Python Projects	Nov 11th	Teodora Szasz and Callista Christ	Introductory
Introduction to Data Mining -- Mining News, Public Sentiments, and Basic Textual Analysis with Python	Nov 18th	Kaihua Ding	Introductory	Link
Introduction to R for Data Analysis	Nov 23rd	Peter Carbonetto	Introductory
Text Analytics and spaCy in Python	Nov 30th	Brooke Luetgert	Intermediate
Data Science and Machine Learning on Google Cloud	Dec 9th	Teodora Szasz and Callista Christ	Introductory

2020-2021 RCC Workshop Series

Summer Workshops (completed)

Title	Date	Presenter	Level	Slides and materials
Introduction to the Research Computing Center	July 6th	Brooke Luetgert	Beginner
Running jobs on RCC systems using the SLURM batch scheduler and Best Practices	July 8th	Jeffrey Tharsen	Beginner
Introduction to GIS and Spatial Analysis	July 13th	Parmanand Sinha	Beginner	GitHub
Introduction to SQL	July 20th	Ping-Chang Lin	Beginner	GitHub
Best Coding Practices for Python Projects	July 27th	Teodora Szasz and Callista Christ (RCC); Mark Mims and Luis Ibanez (Google)	Beginner	GitHub
Natural Language Processing with GPT-3 (by OpenAI)	Aug 3rd	Jeffrey Tharsen	Intermediate	GitHub
Introduction to Python for Data Analysis with COVID-19 data	Aug 10th	Brooke Luetgert	Beginner	GitHub
Introduction to Raster data and satellite Imagery	Aug 12th	Parmanand Sinha	Intermediate	GitHub
Reproducible Research: How to Make It Real!	Aug 17th	Teodora Szasz and Callista Christ (RCC); Mark Mims and Luis Ibanez (Google)	Beginner
Using GPUs with Python	Aug 19th	John Parker and Kris@NVIDIA	Beginner	Not available
Large-scale data analysis in R	Aug 24th	Peter Carbonetto	Advanced	Githib

Spring Workshops (Completed)

Title	Date	Presenter	Level	Slides
Introduction to the RCC	April 6th	Ping-Chang Lin	Introductory
Interpreting Deep Learning Models Using Explainable AI	April 13th	Teodora Szasz	Intermediate
Introduction to Spatial Statistics with R	April 20th	Parmanand Sinha	Intermediate	Link GitHub
Analysis of Genetic Data 2: Mapping Genome-wide Associations	April 27th	Peter Carbonetto	Intermediate	Link GitHub
Navigating the Data Use Agreement (DUA) Process	April 28th	Secure Data Enclave
Data Privacy in Research	April 29th	Secure Data Enclave
Working with Sensitive Research Data in the Secure Data Enclave (SDE)	April 30th	Secure Data Enclave
Introduction to Midway3: UChicago’s Newest High-Performance Computing Cluster	May 4th	Jonathan Skone	Introductory
Advanced Methods for Text Visualization	May 14th	Jeffrey Tharsen	Intermediate / Advanced	Link GitHub
Running jobs on RCC systems using the SLURM batch scheduler and Best Practices	May 18th	Ping-Chang Lin	Intermediate
Introduction to GitHub	May 25th	Brooke Luetgert	Beginner	Link GitHub

Winter Workshops (Completed)

Title	Date	Presenter	Level	Slides
Introduction to the RCC	Jan 21st	Jeff Tharsen	Introductory
Running jobs on RCC systems using the SLURM batch scheduler and Best Practices	Jan 26th	Peter Carbonetto	Introductory	Link GitHub
Introduction to Spatial Analysis with R	Feb 2nd	Parmanand Sinha	Introductory	Link GitHub
Spatial Statistics for GIS using R	Feb 9th	Parmanand Sinha	Introductory/ Intermediate	Link (GitHub)
Intro to Regression Analysis with Python	Feb 16th	Brooke Luetgert	Introductory	Link (GitHub)
Analysis of Genetic Data 1: inferring population structure	Feb 23rd	Peter Carbonetto	Intermediate	Link (GitHub)
Advanced Interactive Visualizations for Data Analysis (Bokeh + TensorSpace)	Feb 26th	Jeff Tharsen	Intermediate / Advanced	Link (GitHub)
Introduction to translating between Python and R	Mar 9th	Ping-Chang Lin	Introductory/ Intermediate	Link (GitHub)
Introduction to Deep Learning using PyTorch and fastai	Mar 16th	Teodora Szasz	Introduction	Link
Introduction to Midway3: UChicago’s Newest HPC Cluster	Mar 18th	Jonathan Skone	Introductory

Fall Workshops (completed)

Title	Date	Presenter	Level	Slides
Introduction to the RCC and Computational Resources for Humanists and Social Scientists	Oct 13th	Brooke Luetgert and Jeffrey Tharsen	Introductory
Introduction to the RCC	Oct 13th	Teodora Szasz	Introductory
Running jobs on RCC systems using the SLURM batch scheduler and Best Practices	Oct 15th	Teodora Szasz	Introductory
Introduction to the Digital Humanities	Oct 20th	Jeffrey Tharsen	Introductory
Introduction to the RCC and Computational Resources for Humanists and Social Scientists - Repeat	Oct 23rd	Brooke Luetgert and Jeffrey Tharsen	Introductory
Data Wrangling or Manipulation in R	Oct 27th	Huma Asif	Introductory
Introduction to the Digital Humanities - Repeat	Oct 30th	Jeffrey Tharsen	Introductory
Large-Scale Data Analysis in R	Nov 3rd	Peter Carbonetto	Advanced	Link (GitHub)
Introduction to ArcGIS and Arcpy	Nov 10th	Parmanand Sinha	Introductory
Guidelines for Neural Network Models - Performance Assessment and improvement	Nov 17th	Ping-Chang	Intermediate	Link (GitHub)
Navigating the DUA Process	Nov 18th	Secure Data Enclave	Introductory
Data Privacy in Research	Nov 19th	Secure Data Enclave	Introductory
Working with Sensitive Research Data in the Secure Data Enclave (SDE)	Nov 20th	Secure Data Enclave	Introductory
Introduction to GDAL	Nov 24th	Parmanand Sinha	Intermediate	Link (GitHub)
Scientific computing using Julia programming language	Nov 30th	Khemraj Shukla	Introductory	Link
Introduction to Python for Data Analysis	Dec 1st	Brooke Luetgert	Intermediate	Link
Code Optimization on Midway2 HPC cluster	Dec 8th	Khemraj Shukla	Intermediate	Link (Git Hub)

2019-2020 RCC Workshop Series

Summer Workshops (Completed)

Title	Date	Presenter	Level	Slides
Introduction to the RCC	June 30th	Teodora Szasz	Introductory
Parallel Programming in Python: Multithreading and Multiprocessing	July 7th	Jonathan Skone	Intermediate
Can a Neural Network write poetry? Leveraging next sentence prediction with transformers BERT and GPT-2	July 16th	Jeffrey Tharsen	Intermediate
Running jobs on RCC systems using the SLURM batch scheduler and Best Practices	July 21st	Parmanand Sinha	Introductory
Introduction to CUDA-C and FORTRAN programming	July 23rd	Khemraj Shukla	Introductory
Guide to generative adversarial networks	July 28th	Ping-Chang	Intermediate
Docker and Singularity: Using Containers on Midway	July 30th	Jonathan Skone (with guest Marco Govoni)	Introductory
Introduction to R for data analysis	Aug 4th	Peter Carbonetto	Introductory
Introduction to HPC for GeoComputation	Aug 13th	Parmanand Sinha	Intermediate
Creating Interactive Data Plots in Python	Aug 18th	Brooke Luetgert	Intermediate
Deep Learning for COVID-19 Medical Imaging	Aug 25th	Teodora Szasz	Intermediate

Spring Workshops (completed)

Title	Date	Presenter	Level	Slides
Introduction to the Research Computing Center	4/13/2020	Khemraj Shukla	Introductory
COVID-19 Epidemic Data Visualization	4/14/2020	Teodora Szasz (RCC) and Luis Ibanez (Google)	Introductory
COVID-19 Epidemic Data Visualization (Repeat)	4/17/2020	Teodora Szasz (RCC) and Luis Ibanez (Google)	Introductory
Analysis of Genetic Data 2: mapping genome-wide associations	4/28/2020	Peter Carbonetto	Intermediate
Introduction to ArcGIS	4/30/2020	Parmanand Sinha	Introductory
Introduction to CUDA-C programming	5/7/2020	Khemraj Shukla	Introductory
Introduction to GDAL	5/12/2020	Parmanand Sinha	Introductory
Performance Guidelines of Neural Network Models, Perspective of Operation Efficiency	5/19/2020	Ping-Chang Lin	Intermediate
Introduction to Python for Data Analysis	5/26/2020	Brooke Luetgert	Introductory
Deep Learning Frameworks for Natural Language Processing: BERT and GPT-2	6/2/2020	Jeffrey Tharsen	Advanced

Winter Workshops (Completed)

Title	Date	Presenter	Level	Location
Introduction to the RCC	1/21/20	Jonathan Skone	Introductory	Zar Room
Analysis of Genetic Data 1: inferring population structure	1/28/20	Peter Carbonetto	Intermediate	Zar Room
Introduction to ArcGIS	2/4/20	Parmanand Sinha	Introductory	Zar Room
Intermediate ArcGIS	2/11/20	Parmanand Sinha	Intermediate	Zar Room
Introduction to Computer Vision in Python	2/20/20	Teodora Szasz	Intermediate	Zar Room
Neural Networks for Word Vectors and Word Embeddings in Python	2/25/20	Jeffrey Tharsen	Intermediate	Zar Room
Performance Guidelines of Neural Network Models	3/10/20	Ping-Chang Lin	Intermediate	Zar Room
Web Scraping and Text Parsing in Python	3/17/20	Brooke Luetgert	Introductory	Zar Room

Fall Workshops (Completed)

Title	Date	Presenter	Level	Location
Introduction to the RCC	10/15/19	Birali Runesha	Introductory	Zar Room
Introduction to Transfer Learning for Image Classification	10/17/19	Teodora Szasz	Advanced	Zar Room
Exploring Geospatial Raster Images	10/22/19	Parmanand Sinha	Introductory	Zar Room
Introduction to the Digital Humanities	10/24/19	Jeffrey Tharsen	Introductory	Zar Room
Introduction to Information Data Visualization	10/29/19	Kazutaka Takahashi	Introductory	Zar Room
Mind Bytes	11/5/19			Ida Noyes
Parallel Programming in Python	11/12/19	Jonathan Skone	Intermediate	Zar Room
How to Use DaLI - an Introduction	11/14/19	Kazutaka Takahashi	Introductory	Zar Room
Large-Scale Data Analysis in R	11/19/19	Peter Carbonetto	Advanced	Zar Room
Introduction to Deep Learning for Image Classification	11/26/19	Ping-Chang	Introductory	Zar Room
Data Wrangling and Visualization in R	12/3/19	Nicholas Marchio	Introductory	Zar Room
Introduction to Python for Data Analysis	12/10/19	Brooke Luetgert	Introductory	Zar Room

Summer Workshops (completed)

Title	Date	Time	Presenter	Level	Location
Introduction to the Research Computing Center	6/25/19	2-4 PM	Hossein Pourreza	Introductory	Zar Room	Download
Introduction to R for Data Analysis	7/2/19	2-5 PM	Peter Carbonetto	Introductory	Zar Room
Introduction to Linux and Bash Shell	7/9/19	2-4:30 PM	Yuxing Peng	Introductory	Zar Room
Introduction to R Shiny	7/16/19	2-4 PM	Nicholas Marchio	Introductory	Zar Room
Text Analysis for Non-Western Scripts	8/6/19	2-4 PM	Jeffrey Tharsen	Introductory	Zar Room
Data Therapy 1	8/8/19	3:30-4:30 PM	Eamon Duede
Introduction to Information Data Visualization	8/13/19	2-5 PM	Kazutaka Takahashi	Introductory	Zar Room
Introduction to Geospatial Data Abstraction Library (GDAL)	8/20/19	2-4 PM	Parmanand Sinha	Intermediate	Zar Room
Data Therapy 2	8/22/19	3:30-4:30 PM	Marynia Kolak		Zar Room
Deep Learning for Computer Vision in Python	8/27/19	2-6 PM	Teodora Szasz	Intermediate	Zar Room
Data Therapy 3	9/5/19	3:30-4:30 PM	Peter Carbonetto		Zar Room

Spring Workshops

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
Navigating the Data User Agreement Process	4/22/2019	2-3 pm	Kali Frampton	Open to all	Zar Room
Analysis of Genetic Data 2: mapping genome-wide associations	4/23/2019	2–5 pm	Peter Carbonetto	Intermediate	Zar Room
Data Privacy in Research	4/24/2019	1-2 pm	Stefan Quick	Open to all	Zar Room
Working with Sensitive Data in the SDE	4/25/2019	2-3:30 pm	Hossein Pourreza	Open to all	Zar Room
Amira/Avizo Introductory Workshop	5/1/2019	9 am - 12:30 pm	Amira Expert	Open to all	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

Winter Workshops (completed)

Title	Date	Level	Location
Introduction to RCC	1/15/2019	Introductory	BSLC 018
Python Programming for Data Science	1/22/2019	Intermediate	BSLC 018
Large-scale data analysis in R	1/29/2019	Advanced	BSLC 018
Interactive 3D Computer Graphics using WebGL	2/5/2019	Intermediate	BSLC 018
GPU programming with CUDA	2/12/2019	Advanced	BSLC 018
Introduction to Data Visualization using D3	2/19/2019	Intermediate	BSLC 018
An Introduction to the Data Lifecycle Instrument: DaLI	2/21/2019	Introductory	BSLC 018
Parallel Programming in Python: MPI for Python	2/26/2019	Intermediate	BSLC 018
Digital Textual Analysis for Large-Scale Repositories (HathiTrust and others)	3/5/2019	Intermediate	BSLC 018

Fall Workshops (completed)

Title	Date	Level	Location
Introduction to the RCC	10/2/18	Introductory	BSLC 018
Introduction to Computer Vision in Python	10/9/2018	Intermediate	BSLC 018
Parallel Programming with OpenMP	10/16/2018	Intermediate	BSLC 018
Introduction to Data Visualization	10/23/2018	Introductory	BSLC 018
Introduction to R for data analysis	10/30/ 2018	Introductory	BSLC 018
Introduction to machine learning	11/6/2018	Introductory	BSLC 018
Parallel Programming in Python: Multithreading and Multiprocessing	11/13/2018	Intermediate	BSLC 018
Introduction to the Digital Humanities	11/27/2018	Introductory	BSLC 018
Reinforcement learning	12/4/2018	Advanced	BSLC 018

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 workshops we have offered in previous years:

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

The RCC is celebrating 10 years of enabling science! Learn more. Submit a poster today for Mind Bytes.

2022-2023 RCC Workshop Series

Winter Workshops

Fall Workshops

2021-2022 RCC Workshop Series

Summer Workshops (completed)

Creating Interactive Plots in Python

Spring Workshops (completed)

Winter Workshops (Completed)

Fall Workshops (completed)

2020-2021 RCC Workshop Series

Summer Workshops (completed)

Spring Workshops (Completed)

Winter Workshops (Completed)

Fall Workshops (completed)

2019-2020 RCC Workshop Series

Summer Workshops (Completed)

Spring Workshops (completed)

Winter Workshops (Completed)

Fall Workshops (Completed)

Summer Workshops (completed)

Spring Workshops

Winter Workshops (completed)

Fall Workshops (completed)

A note about experience levels

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

The RCC is celebrating 10 years of enabling science! Learn more.
Submit a poster today for Mind Bytes.