UCF Research Cyberinfrastructure (RCI)


Subscribe to Updates

Schedule
Title Date & Time Speakers Details Status
Advanced Unix Shell Programming 02/08/2022
1:00 PM–3:00 PM
Steven Dick View Details Open until
3:00 PM 02/08/2022
High Performance Computing on Advanced Research Computing Center's Stokes and Newton Clusters 02/15/2022
1:00 PM–3:00 PM
Glenn Martin, Ph.D.; Jamie Schnaitter View Details Open until
3:00 PM 02/15/2022
Foundations of Data Management: Managing Your Data 02/16/2022
3:00 PM–4:00 PM
Lee Dotson View Details Open until
4:00 PM 02/16/2022
Carpentries: Programming and Plotting with Python 02/22/2022
1:00 PM–4:30 PM
Fahad Khan, Ph.D. View Details Open until
4:30 PM 02/22/2022
Carpentries: Version Control using Git 03/01/2022
1:00 PM–4:00 PM
John Aedo, Ph.D.; Fahad Khan, Ph.D. View Details 4:00 PM 03/01/2022
Data Analysis and Visualization with MATLAB Hands-On Workshop 03/03/2022
1:00 PM–3:00 PM
Evan Cosgrove, Ph.D. View Details Open until
3:00 PM 03/03/2022
Introduction to Amazon SageMaker Studio - A Fully Integrated Development Environment for Machine Learning (In-person) 03/15/2022
1:00 PM–4:00 PM
Gabriel Brackman; Sherry Ding, Ph.D. View Details Open until
4:00 PM 03/15/2022
UCF Big Data Analytics Symposium 03/16/2022 UCF Statistics and Data Science View Details Open until
8:00 AM 03/16/2022
XSEDE HPC Workshop: GPU Programming Using OpenACC 03/16/2022 XSEDE View Details Open until
5:00 PM 03/16/2022
Foundations of Data Management: Maximizing the Impact of Your Data 03/16/2022
3:00 PM–4:00 PM
Ven Basco, Sarah Norris View Details Open until
4:00 PM 03/16/2022
Advanced Features of Amazon SageMaker for Machine Learning Model Building, Training, and Deployment (In-person) 03/17/2022
1:00 PM –4:00 PM
Gabriel Brackman; Sherry Ding, Ph.D. View Details Open until
4:00 PM 03/17/2022
XSEDE Webinar: Singularity Containers for Scientific and High-Performance Computing 03/17/2022
2:00 PM –3:00 PM
XSEDE View Details Open until
3:00 PM 03/17/2022
Carpentries: Data Organization in Spreadsheets for Social Scientists 03/23/2022
1:00 PM–3:30 PM
Sandy Avila, Lee Dotson View Details Open until
3:30 PM 03/23/2022
Fireside Chat: Keeping your Research Data Secure and Private & STEM 04/05/2022
3:00 PM–4:00 PM
Thierry Lechler, Dan LoPresto View Details Open until
4:00 PM 04/05/2022
Microsoft Power BI Part 1 (virtual, hands-on, BYOD) 04/13/2022
3:30 PM–5:30 PM
Dustin Ryan View Details Open until
5:30 PM 04/13/2022
Microsoft Power BI Part 2 (virtual, hands-on, BYOD) 04/14/2022
3:30 PM–5:30 PM
Dustin Ryan View Details Open until
5:30 PM 04/13/2022
XSEDE Webinar: Introduction to Neural Networks and Deep Learning on Expanse 05/19/2022
2:00 PM–3:00 PM
XSEDE View Details Open until
3:00 PM 05/19/2022
filter by:   sort by date:

Fireside Chat: Keeping your Research Data Secure and Private

Location
Teaching Academy 130
Description

Researchers working with Personally identifiable information (PII), protected health information (PHI), The General Data Protection Regulation (GDPR), etc. have to protect the privacy, confidentiality, and security of this information. Join us for a chat with privacy, security, and human subject research experts to shed light on some frequently asked questions and concerns.

Presenter
Thierry Lechler

Thierry Lechler
Information Security III

Dan LoPresto

Dan LoPresto
Director, Privacy Compliance

Dan LoPresto

Gillian Bernal
Manager, Institutional Review Board

Host
Shafaq Chaudhry

Shafaq Chaudhry
Director, Research Technology, Graduate & Research IT

Advanced Features of Amazon SageMaker for Machine Learning Model Building, Training, and Deployment

Location
Research 1 - 101A
Description

Amazon SageMaker helps data scientists and developers build, train, and deploy high-quality machine learning models quickly by bringing together a broad set of capabilities purpose-built for machine learning. In this hands-on workshop, you will learn how to bring your own algorithms to Amazon SageMaker, do bias and model explainability analysis, and do distributed training in AWS.

Note: Remember to bring your own device.

Presenters
unknown photo

Gabriel Brackman
Amazon Web Services Solutions Architect

unknown photo

Sherry Ding, Ph.D.
Amazon Web Services AI/ML Solutions Architect

Foundations of Data Management: Maximizing the Impact of Your Data

Location
Virtual, please see registration link for details.
Description

Citation 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 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 as provide tips on how to manage your online research profiles.

Presenter
Sarah Norris

Introduction to Amazon SageMaker Studio - A Fully Integrated Development Environment for Machine Learning (In-person)

Location
Teaching Academy 117
Description

You will be introduced to Amazon SageMaker Studio, the first integrated development environment (IDE) for machine learning. It brings together a broad set of purpose-built tools covering the entire machine learning lifecycle. With Amazon SageMaker Studio, developers can write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, which significantly boosts productivity. You will get hands-on experience on no-code/low-code solutions for model development in AWS.

Note: Remember to bring your own device.

Presenters
unknown photo

Gabriel Brackman
Amazon Web Services Solutions Architect

unknown photo

Sherry Ding, Ph.D.
Amazon Web Services AI/ML Solutions Architect

Carpentries: Programming and Plotting with Python

Location
Research 1 - 101A
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.

Note: Remember to bring your own device.

Presenter

Foundations of Data Management: Managing Your Data

Location
Virtual, please see registration link for details.
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

High Performance Computing on Advanced Research Computing Center's Stokes and Newton Clusters

Location
Research 1 - 101A
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
unknown

Jamie Schnaitter

Advanced Unix Shell Programming

Location
Teaching Academy 117
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
unknown

Steven Dick

Carpentries: Version Control using Git

Location
Virtual–please see registration link for details.
Description

An introduction to version control for researchers using Git. In this workshop, participants will learn how to stop worrying and easily track changes to their files and code. Effortlessly revert between versions with simple commands. Collaborate with colleagues seamlessly using a centralized file repository. Learn how multiple people can work on the same file and easily work through the revision conflicts.

Note: You will receive access information for Jupyter Lab the day prior to the workshop. Also, remember to bring your own device.

Presenter
unknown

John Aedo, Ph.D.

Carpentries: Data Organization in Spreadsheets for Social Scientists

Location
Research 1 - 101A
Description

This hands-on workshop will cover how to tackle data organization by applying simple practices using Microsoft Excel. Good data organization is the foundation of any research project and learning to organize data in spreadsheets is one way to ensure your data collection is off to a good start. Some of the principles that will be reviewed during this session include good data entry practices by formatting data tables properly, basic quality control and data manipulation in spreadsheets, and how to export data from spreadsheets. Please bring your own device and have a spreadsheet program downloaded on your device prior to the workshop date.

Note: Remember to bring your own device.

Presenter

Data Analysis and Visualization with MATLAB Hands-On Workshop

Location
Virtual--link will be provided day-of workshop.
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.

Some of the 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
Presenter

UCF Big Data Analytics Symposium

Location
UCF Main Campus, Pegasus Ballroom
Description

This day-long series of speakers and networking opportunities connects students to industry professionals to explore the practical applications of big data and data analytics in the modern market place. This event is in its 9th year and has become an integral resource for connecting UCF students with employers from companies at the top of their industry.

Note: Hybrid viewing will be available for keynotes & breakout sessions.

Presenter
UCF Statistics and Data Science Department

UCF Statistics and Data Science Department

XSEDE HPC Workshop: GPU Programming Using OpenACC

Location
Virtual, please see registration link for details.

XSEDE Webinar: Singularity Containers for Scientific and High-Performance Computing

Location
Virtual, please see registration link for details.

XSEDE Webinar: Introduction to Neural Networks and Deep Learning on Expanse

Location
Virtual, please see registration link for details.

Microsoft Power BI Part 1 (virtual, hands-on, BYOD)

Location
Virtual, please see registration link for details.
Description
After the workshop, you'll better understand how to:
  • Connect to, import, and transform data from a variety of sources.
  • Define business rules and KPIs.
  • Explore data with powerful visualization tools.
  • Build stunning reports with Power BI.
  • Share dashboards with your team and business partners, and publish them to the web.
Presenter

Microsoft Power BI Part 2 (virtual, hands-on, BYOD)

Location
Virtual, please see registration link for details.
Description
After the workshop, you'll better understand how to:
  • Connect to, import, and transform data from a variety of sources.
  • Define business rules and KPIs.
  • Explore data with powerful visualization tools.
  • Build stunning reports with Power BI.
  • Share dashboards with your team and business partners, and publish them to the web.
Presenter