Events

AI is reshaping how engineers and scientists explore ideas, develop solutions, and accelerate technical work. In this webinar, you’ll get an introduction to both generative AI and emerging agentic AI workflows with MATLAB and Simulink, with a focus on how these capabilities can support real engineering and scientific applications.

We’ll show how generative and agentic AI can be used within and alongside MATLAB and Simulink to help with tasks such as creating and refining code and models, exploring algorithms, running simulations, automating repetitive work, and speeding up design iterations. We’ll also introduce core agentic AI concepts and show how the MATLAB and Simulink platforms fit into these workflows.

Throughout the session, we’ll highlight how MATLAB and Simulink help engineers validate, refine, and apply AI-generated results so they can be used with greater confidence in engineering contexts. Whether you’re new to these technologies or already exploring them, this webinar will provide a practical foundation for understanding how generative and agentic AI can enhance existing engineering workflows.

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

AI is reshaping how engineers and scientists explore ideas, develop solutions, and accelerate technical work. In this webinar, you’ll get an introduction to both generative AI and emerging agentic AI workflows with MATLAB and Simulink, with a focus on how these capabilities can support real engineering and scientific applications.

We’ll show how generative and agentic AI can be used within and alongside MATLAB and Simulink to help with tasks such as creating and refining code and models, exploring algorithms, running simulations, automating repetitive work, and speeding up design iterations. We’ll also introduce core agentic AI concepts and show how the MATLAB and Simulink platforms fit into these workflows.

Throughout the session, we’ll highlight how MATLAB and Simulink help engineers validate, refine, and apply AI-generated results so they can be used with greater confidence in engineering contexts. Whether you’re new to these technologies or already exploring them, this webinar will provide a practical foundation for understanding how generative and agentic AI can enhance existing engineering workflows.

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

This workshop is targeted at a broad audience of researchers who want to learn how to be more efficient and effective in their data analysis and computing, whatever their career stage may be.
The lesson is inspired by and based on the paper, Good Enough Practices in Scientific Computing (Wilson et al., 2017): “a set of good computing practices that every researcher can adopt, regardless of their current level of computational skill”. These practices encompass data management, programming, collaborating with colleagues, organizing projects, tracking work, and writing manuscripts. The goal is to share ideas and practices that can be used to have a smoother experience while performing computational research. These can be considered equivalent to the basic lab skills one is introduced to and trained on for a smooth and safe lab experience.

Prerequisites: There are no specific prerequisites. Learners should be participating or intending to participate in scientific research that involves computing.

Learning outcomes:
- Good enough practices for data management
- Good enough practices for project organization
- Good enough practices for file naming conventions
- Good enough practices for tracking changes

This event is not being recorded. Any materials provided by the presenter will be sent to all registrants by the end of the second business day after the conclusion of the event. Please email ResearchITEvents@ucf.edu to request access to the materials two business days after the completion of the event if you did not register.

Presented by Nandan Tandon, Ph.D.

Computational research can analyze models and/or data to reach new conclusions in faster ways or more complex scenarios. UCF has a 7,000+ core cluster for general-purpose computation for research across many fields of academic work, and a 54-node GPU cluster for specialized computation.

This workshop will review the 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, account balancing, example Slurm script and job submission will be covered with a demonstration. The demonstration will include examples of job that uses only CPU or GPU on the clusters. A new web portal to access the clusters will also be shown. A brief introduction to the national (ACCESS) as well as state HPC cluster (HiPerGator) which are outside of UCF campus will also be shared.

Learning outcomes:
- Introduction to Stokes and Newton
- Process of requesting account
- Information of quota
- Demo of login and job submission
- Learn slurm script
- Demo of new web portal


This event is not being recorded. Any materials provided by the presenter will be sent to all registrants by the end of the second business day after the conclusion of the event. Please email ResearchITEvents@ucf.edu to request access to the materials two business days after the completion of the event if you did not register.

Presented by Glenn Martin, Ph.D.

Learn the basics of Git (https://www.git-scm.com/) 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. Intermediate and advanced Git workshops are hosted periodically during Spring and Fall semesters. Please visit our events page (https://rci.research.ucf.edu/events) to view additional upcoming Git training sessions.

To participate in the hands-on lab during the session, you will need to provide your own computer with a web browser and a reliable internet connection.

Learning outcomes:

- Set up your computer to use Git
- Create your first Git repository
- Track changes to a coding project
- Collaborate and share your code on GitHub.com

This event is not being recorded. Any materials provided by the presenter will be sent to all registrants by the end of the second business day after the conclusion of the event. Please email ResearchITEvents@ucf.edu to request access to the materials two business days after the completion of the event if you did not register.

Presented by Mark Durbin