UCF Research Cyberinfrastructure (RCI)

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.

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.

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.

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.

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.

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.

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).

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.

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.

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.

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.

• 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

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.

• 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.

• 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.