This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand correlation and regression (e.g., simple, multiple, hierarchical) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of these tests. Attendees will also […]
Learn how to implement multiple AI-based approaches to solve a specific use case of identifying network intrusions for telecommunications. NVIDIA Course Overview (Do not register through NVIDIA) Instructor: Haoyu Niu, Research Engineer, Texas A&M Institute of Data Science Location: Interdisciplinary Life Sciences Building (ILSB) Auditorium
On April 15th, 2024, Cynthia Parr, the Chief Data Officer of USDA’s Research, Education, and Economics Mission Area, will present a data science seminar on “Cultivating Opportunity: Data Science in the USDA Research, Education, and Economics Mission Area”.
The Digital Twin Lab at Texas A&M Institute of Data Science will host a collaborative workshop on Reduced Order Modeling (ROM), organized in partnership with Texas A&M High Performance Research Computing and the libROM team at Lawrence Livermore National Laboratory (LLNL).
This workshop aims to provide a landscape of recent research activities on multi-agent learning in dynamic environments, and foster potential collaborations among the researchers broadly working in the fields of reinforcement learning, game theory, optimization and control, and those that are interested in engineering and science applications of such methods.
Seminar by Grayson Randall, IEEE MOVE Team Operations Lead 1:30 pm – 2:30 pm – Presentation 2:30 pm – 3:30 pm – IEEE MOVE Disaster Relief Truck Tour Location: 220 BlockerOnline via Zoom: Meeting ID: 92875868059Passcode: 207593 Mr. Grayson Randall will delve into the comprehensive operational aspects of the IEEE MOVE (Mobile Outreach Vehicle) truck, an […]
This workshop is part of the Texas A&M Research Computing Symposium. Learn the fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA®. NVIDIA Course Overview (Do not register through NVIDIA) Instructor: Jian Tao, Assistant Professor, School of Performance, Visualization & Fine Arts Location: Interdisciplinary Life Sciences Building (ILSB) […]
Are you a Ph.D. student looking to harness the power of Data Science, Artificial Intelligence, and Machine Learning (DS/AI/ML) in your research? Dive into an immersive experience designed to transform the way you approach your projects!
W.A.T.E.R. — Hydrological Data Science Summer School Workflow Automation and Techniques for Effective Research Virtual | June 24–28, 2024 | 6–8 pm CT Often, students overlook the profound shift that a PhD represents—it’s not a mere continuation of undergraduate or master’s studies, but the pivotal entry into a rigorous and transformative journey toward a professional […]
Stop by Evans Library during Howdy Week for the annual Libraries Open House! The university libraries invite all Aggies, faculty, and staff to join them in Sterling C. Evans Library and Annex to learn about the resources and services the libraries have to offer and meet their academic partners like the University Writing Center, the […]
International Student & Scholar Services (ISSS) will be holding the annual Global Welcome Party at Aggie Park to welcome Texas A&M University international students, staff, and faculty back to campus and to connect with other Aggies! This event gives students the opportunity to learn about student organizations on campus and explore off-campus businesses and restaurants. […]
TAMIDS is sponsoring the Ecology & Evolutionary Biology’s (EEB) 2024 Open Source for Open Science (OSOS) workshop. OSOS is a free two day workshop which introduces participants to the use of free, open-source tools for data analysis, statistical analysis and visualization, particularly via the statistical programming language R. No previous experience with programming or statistics […]
