UCF Research Cyberinfrastructure (RCI)


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Schedule
Title Date & Time Speakers Details Status
Overview of Research Computing and Data Services at UCF 01/20/2023
3:00 PM–4:30 PM
Lee Dotson;
Glenn Martin, Ph.D.;
Shafaq Chaudhry, Ph.D.
View Details Open through
workshop end
Advanced Unix Shell Programming 01/24/2023
3:00 PM–5:00 PM
Steven Dick View Details Open through
workshop end
Foundations of Data Management: Managing Your Data 01/25/2023
3:00 PM–4:00 PM
Lee Dotson View Details Open through
workshop end
High Performance Computing using Newton and Stokes 01/27/2023
3:00 PM–4:00 PM
Glenn Martin, Ph.D.;
Jamie Schnaitter
View Details Open through
workshop end
Introduction to MATLAB 01/31/2023
3:00 PM–4:30 PM
Dr. Evan Cosgrove View Details Open through
workshop end
AWS Conversational Chatbots 02/03/2023
2:00 PM–5:00 PM
Gabriel Brackman View Details Open through
workshop end
AWS Machine Learning - Low-Code / No-Code ML for Data Scientists 02/07/2023
2:00 PM–5:00 PM
Gabriel Brackman View Details Open through
workshop end
AWS Streaming Analytics Workshop 02/10/2023
2:00 PM–5:00 PM
Gabriel Brackman View Details Open through
workshop end
Scientific Computing with R 02/14/2023
1:30 PM–5:00 PM
Fahad Khan, Ph.D. View Details Open through
workshop end
AWS IoT Greengrass 02/17/2023
2:00 PM–5:00 PM
Gabriel Brackman View Details Open through
workshop end
Version Control with Git - Basic 02/21/2023
2:00 PM–5:00 PM
Mark Durbin View Details Open through
workshop end
Version Control with Git - Advanced 02/23/2023
2:00 PM–5:00 PM
Mark Durbin View Details Open through
workshop end
AWS Machine Learning at the Edge 02/24/2023
2:00 PM–5:00 PM
Gabriel Brackman View Details Open through
workshop end
Scientific Computing with Python 02/28/2023
2:00 PM–5:00 PM
John Aedo, Ph.D. View Details Open through
workshop end
Image Processing for Medical Applications using MATLAB 03/02/2023
3:00 PM–4:30 PM
Esperanza Linares, Ph.D. View Details Open through
workshop end
Qualtrics for Research Data Collection 03/03/2023
3:00 PM–4:00 PM
Dr. Nelson Roque, Ph.D. View Details Open through
workshop end
LaTeX for academic and scientific publication 03/21/2023
1:30 PM–5:00 PM
Fahad Khan, Ph.D. View Details Open through
workshop end
Reproducible Data Science 03/24/2023
3:00 PM–4:30 PM
Dr. Nelson Roque, Ph.D. View Details Open through
workshop end
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Overview of Research Computing and Data Services at UCF

Location
Virtual
Description

This workshop provides an overview of the advanced research computing and data services available to researchers both at UCF and regionally/nationally.

Presenter(s)

Advanced Unix Shell Programming

Location
Virtual
Description

The "shell" in Unix is a generic term for the program that provides the basic user interface to the system. Typically, this would be a command line interface, but might also include a graphical interface (e.g., "gnome shell"). This workshop will cover commands common to most variations of Unix and Unix command line interface shells. The second hour of this workshop will explore shell commands and solutions inspired by participant questions and problems. It is assumed you are familiar with basic shell concepts.

Presenter(s)
No image available

Steven Dick

Foundations of Data Management: Managing Your Data

Location
Virtual
Description

Healthy data management provides a foundation for strong research. This session will introduce participants to the components of a data management plan, data management processes, the DMPTool, and data repositories. Topics include data expectations, data and metadata standards, access and sharing considerations, and data storage and preservation.

Presenter(s)

High Performance Computing using Newton and Stokes

Location
Virtual
Description
Computational research can analyze models and/or data to reach new conclusions in faster ways or more complex scenarios. UCF has a 4000+ core cluster for general-purpose computation for research across many fields of academic work, and a 21-node GPU cluster for specialized computation. This workshop will review capabilities of the UCF Advanced Research Computing Center in general, with a focus on the two clusters (known as Stokes and Newton). Storage system usage, job scheduling and account balancing, and job submission will be covered with an interactive hands-on session (if an attendee does not yet have an ARCC account, please be sure to request an account ahead of time via the ARCC web site at arcc.ist.ucf.edu).
Presenter(s)

Introduction to MATLAB

Location
Virtual
Description

In this session, you will learn how MATLAB can be used to visualize and analyze data, perform numerical computations, and develop algorithms. Through live demonstrations and examples, you will see how MATLAB can help you become more effective in your work. This session is targeted for those who are new to MATLAB. However, experienced MATLAB users may also benefit from the session, as the engineer will be covering some tips and tricks from the newer releases of MATLAB.

Highlights include:

  • Accessing data from many sources (files, other software, hardware, etc.)
  • Using interactive tools for iterative exploration, design, and problem solving
  • Automating and capturing your work in easy-to-write scripts and programs
  • Sharing your results with others by automatically creating reports
  • Building and deploying interactive applications
Presenter(s)
Evan Cosgrove

Evan Cosgrove
Customer Success Engineer at MathWorks

AWS Conversational Chatbots

Location
Virtual
Description
Build an AI-powered chatbot using the same technology as Amazon Alexa.
Presenter(s)
Gabriel Brackman

Gabriel Brackman
Solutions Architect, AWS

AWS Machine Learning - Low-Code / No-Code ML for Data Scientists

Location
Virtual
Description
You will learn how the Low-Code / No-Code ML capabilities found in Amazon SageMaker Data Wrangler, Autopilot and Jumpstart, make it easier to experiment faster and bring highly accurate models to production more quickly and efficiently.
Presenter(s)
Gabriel Brackman

Gabriel Brackman
Solutions Architect, AWS

AWS Streaming Analytics Workshop

Location
Virtual
Description
This is a collection of workshops and resources for running streaming analytics workloads on AWS. In these workshops you will learn how to build, operate, and scale end-to-end streaming architectures leveraging different open source technologies and AWS services, including, Apache Flink, Apache Beam, and Amazon Kinesis Data Analytics.
Presenter(s)
Gabriel Brackman

Gabriel Brackman
Solutions Architect, AWS

Scientific Computing with R

Location
Virtual
Description

The goal of this lesson is to teach new programmers to write modular code to perform a data analysis. R is used to teach these skills because it is a commonly used programming language in many scientific disciplines. However, the emphasis is not on teaching every aspect of R, but instead on language agnostic principles like automation with loops and encapsulation with functions. This R lesson is a translation of the Python version.

A lab environment will be provided for you, but if you wish to follow along on your own device, please have the following installed on your computer prior to the start of the workshop:

  • R Software (for workshop lab materials)
  • RStudio Desktop (for demo at end of workshop)

Audience:
This workshop is aimed at graduate students and other researchers, but all are welcome to attend. This is a basics level workshop for an audience who intend to start working with R language in the future. You don't need to have any previous knowledge of the tools that will be taught.

Presenter(s)

AWS IoT Greengrass

Location
Virtual
Description
This workshop provides a 2-hour guided walkthrough on using AWS IoT Greengrass. It covers AWS IoT Core, AWS Greengrass v2, Device Management, and using Greengrass v2 with Containers and within Windows.
Presenter(s)
Gabriel Brackman

Gabriel Brackman
Solutions Architect, AWS

Version Control with Git - Basic

Location
Virtual
Description
Learn the basics of Git and version control using the command line in this hands-on workshop. Whether you're working on a coding project alone or with other people, version control can save you time and effort. This workshop is intended for new or novice Git users.
Presenter(s)

Version Control with Git - Advanced

Location
Virtual
Description
Learn and develop Git techniques for professional collaborative work, including branching, forking, merging, pull requests, rebasing, and reverting. Attendees should have experience creating repositories, making commits, and using GitHub prior to attending this workshop.
Presenter(s)

AWS Machine Learning at the Edge

Location
Virtual
Description
In this workshop, you will learn how to develop machine learning models for edge inference in the AWS cloud, learn about different ways for deploying those to edge devices and how to run inference on edge devices using AWS machine learning and IoT-related services. You will get hands-on with services like Amazon SageMaker Neo, Amazon SageMaker Pipelines, Amazon SageMaker Edge Manager, AWS IoT and many more.
Presenter(s)
Gabriel Brackman

Gabriel Brackman
Solutions Architect, AWS

Scientific Computing with Python

Location
Virtual
Description
This is an introduction to programming in Python for people with little or no previous programming experience. It uses plotting as its motivating example. This lesson references JupyterLab, but can also be followed using a regular Python interpreter as well. This lesson uses Python 3.
Presenter(s)

Image Processing for Medical Applications using MATLAB

Location
Virtual
Description

Today, there is a rich and sophisticated ecosystem for advanced image processing, ranging from complex computer vision techniques to AI/machine learning applications. MATLAB is a popular tool used by research and development engineers developing tomographic (MRI, CT, PT), ultrasound, intravascular, endoscopic imaging, and in-vitro diagnostic devices and technologies. It's used for various tasks, from analyzing, enhancing, and visualizing medical images to developing advanced imaging algorithms deployed on PCs, embedded systems, and the cloud.

This session explores the full spectrum of options between basic, pixel-level processing, and image preparation to be used on machine learning models in MATLAB for medical images.

Highlights

  • New Apps in MATLAB for Medical Imaging: Introduction to apps and features to simplify image data exploration, processing, visualization, and algorithm development related to 3D images and semantic segmentation.
  • Rapid Prototyping and Algorithm Development: In a full case study, learn to quickly develop complete image processing workflows and scale up easily to large datasets.
  • Image Processing Algorithm Deployment: Introduction to deployment technologies that allow engineers to develop algorithms in MATLAB to generate efficient code for processors, FPGAs, and GPU, to deploy them on local clusters or the cloud.
  • Computer Vision Topics in Medical: Applying advanced computer vision techniques in biomedical imaging problems for object detection, tracking, and feature extraction (for machine learning workflows).
Presenter(s)

Qualtrics for Research Data Collection

Location
Virtual
Description
Qualtrics is a tool frequently used for research data collection through surveys. This workshop will teach survey design tips for reproducible survey research; and data wrangling of Qualtrics data - the process of cleaning and transforming raw data into data suitable for analysis.
Presenter(s)
Dr. Nelson Roque, Ph.D.

Dr. Nelson Roque, Ph.D.

LaTeX for academic and scientific publication

Location
Virtual
Description
Latex is a software for document preparation and is used frequently in academic and research communities for scientific writing e.g. journals, theses, presentations, etc. This is a hands-on workshop that will cover basic material suitable for audience that have little or no prior experience with Latex. The workshop will use Overleaf which is a freely available online Latex editor; participants are expected to have had created an account with Overleaf before the workshop.
Presenter(s)

Reproducible Data Science

Location
Virtual
Description
This workshops will describe the tools and techniques for reproducible science, one of the tenants of FAIR (https://www.go-fair.org/fair-principles/) principles of scientific data management. We will learn how to develop a code-only pipeline to allow reproducibility of data prep and analyses; and how to develop a long-term learning plan for practicing reproducible science tools and techniques.
Presenter(s)
Dr. Nelson Roque, Ph.D.

Dr. Nelson Roque, Ph.D.