Calendar of Research Computing & Data Workshops for Researchers
The Pittsburgh Supercomputing Center is pleased to present “Shared Memory Programming using OpenMP” workshop. This workshop is intended to give C and Fortran programmers a hands-on introduction to OpenMP programming. Attendees will leave with a working knowledge of how to write scalable codes using OpenMP. Hands-on exercises are included to give attendees practice with the concepts presented. This will be …
UCF Research Computing & Data WorkshopsThe "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 …
UCF Research Computing & Data WorkshopsData and statistics play an important role in conducting research, yet understanding how to find, analyze, and manage data can be complicated. If you are interested in developing data skills, this session on finding data sources will provide an overview of introductory information to aid you on your path to being a data expert.The workshop will introduce the basic concepts …
UCF Research Computing & Data WorkshopsCitation metrics provides useful quantitative data regarding the impact of a scholar's research. Learning how to maximize your reach using tools like Web of Science, Google Metrics, ORCID, ResearchGate, and Academia.edu (https://academia.edu) among others, doesn't have to be as daunting of a task as it first appears. This session will cover information on how to evaluate citation metrics as well …
UCF Research Computing & Data WorkshopsLearn how you can analyze and model data using interactive tools in MATLAB. Through live demonstrations and examples, you will see how you can solve many steps in a data analysis workflow without writing any code yourself. The interactive tools can then generate the MATLAB code you need to programmatically reproduce your work. This session is targeted for those who …
UCF Research Computing & Data WorkshopsThe 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 …
UCF Research Computing & Data WorkshopsIn this workshop, participants will leverage national compute resources within the NSF-funded ACCESS ecosystem to run simple machine learning experiments and familiarize themselves with Pytorch. Designed as a concise introduction to the use of Pytorch, the presenter will share their experience using Pytorch for research. Topics we will cover include environment setup, various machine learning pipelines, loading pretrained models, and …
UCF Research Computing & Data WorkshopsThis hands-on AWS workshop is designed for researchers that are new to AWS and leveraging the cloud for research. You will learn how to launch EC2 compute instances and work with data stored in Amazon S3 using both the AWS Console and command line. You will also be introduced to Lightsail for Research and SageMaker Notebooks, two AWS services that …
UCF Research Computing & Data WorkshopsThe Intro to Overleaf Part III webinar is ideal for you if you want a deep insight into advanced features within Overleaf and how to make the most of your account access or subscription. You’ll have the chance to hear from an Overleaf representative, ask questions about theplatform and learn firsthand about using Overleaf / LaTeX.This webinar will be covering:- …
UCF Research Computing & Data WorkshopsL200 – Recommended for researchers with coding experienceThis hands-on coding workshop is tailored for researchers aiming to accelerate theirdevelopment of research tools and applications. You'll explore the full potential of Amazon Q Developer, an AI coding assistant that goes beyond code generation. Learn how this tool can assist in planning your application architecture, optimizing AWS resource utilization, and even troubleshooting …
UCF Research Computing & Data WorkshopsJulia is a new language specifically designed to be fast and replace Matlab, R, and Python. Julia behaves like an interpreted language but is just in time compiled to maximize performance, sometimes exceeding the speed of C and C++.This session will give an overview of basic julia features and demonstrate some of its capabilities. Presented by Steven Dick
UCF Research Computing & Data WorkshopsL200 – Recommended for researchers with foundational GenAI knowledge This workshop focuses on techniques for customizing Large Language Models (LLMs) using Amazon Bedrock. Participants will explore four key areas: (1) Knowledge Bases and Retrieval Augmented Generation (RAG), a method to enhance LLMs with external information; (2) LLM Customization through Fine-Tuning and Continued Pre-Training, allowing researchers to tailor models for specific …
UCF Research Computing & Data Workshops