For faculty and staff with no prior experience in AI and a limited technical background. Participants will receive an introduction to AI principles, the strengths and limitations of GenAI tools, and learn how to use No-Code tools and methods to leverage AI. Organized by the Institute of Data Science.
This short course aims to provide an intuitive understanding of data science and its applications in geoscience and carbon cycle research. By presenting two focused case studies, one on rock weathering flux estimation and another on riverine ecosystem metabolism prediction, participants will gain hands-on experience with emerging data science methods and understand their strengths and […]
Dr. Piush Khanal is a quantitative geneticist currently working for Stgenetics, an industry leader in animal genetics, and a data scientist with over 10 years of experience in agricultural big data, high-dimensional data analysis, and machine learning applications. He has authored 25+ peer-reviewed publications and abstracts and is highly experienced in statistical genetics, experimental design, […]
Chatbots like ChatGPT may seem magical, but what’s really going on inside their “brains”? The answer is Transformers—a breakthrough in artificial intelligence. Unlike older models that read words one at a time, transformers look at an entire sentence (or even a whole paragraph) at once, figuring out how each word relates to the others. This […]
Join industry leaders, researchers, and policymakers at the 2025 Texas Semiconductor Summit. Explore the future of semiconductor technology in Texas and beyond.
Dr. Sherecce Fields (Department of Psychological & Brain Sciences) and Dr. Hye-Chung Kum (Department of Health Policy and Management) will be presenting their research on a human-computer hybrid approach to chronic disease care. Free snacks and coffee will be provided! Location: Blocker 220 Abstract This study contributes to the limited literature on applying machine learning […]
This interactive workshop explores how generative AI can support the course design process from start to finish. Participants will examine the course design cycle, identify key opportunities for AI integration, and consider the value these tools bring to course planning. Attendees will leave with strategies for using AI to design a course. Organized by the […]
Organized by the Center for Teaching Excellence. This hands-on workshop guides instructors through the principles of personalized learning, emphasizing intentional design and learner agency. Participants will explore strategies for engaging students as co-designers in their learning journeys and discover how generative AI tools, especially those available through Texas A&M University, can support differentiated instruction and […]
Richard G. Baraniuk is the C. Sidney Burrus Professor of Electrical and Computer Engineering at Rice University and the Founding Director of OpenStax and SafeInsights. His research interests lie in new theory, algorithms, and hardware for machine learning, signal processing, and sensing. He is a Member of the National Academy of Engineering and American Academy of Arts […]
Organized by the University Libraries. This workshop introduces instructors to open licensing through Creative Commons and details the six licenses and their permissions that allow use, reuse, and revision without violating copyright laws. Participants will also see how these licenses allow material with Creative Commons licenses to be ingested into AI tools to create ancillary […]
This workshop highlights the importance of aligning course learning outcomes with content and demonstrates how generative AI tools can support this process. Participants will review the purpose of learning outcomes, evaluate alignment strategies, and explore practical ways to use generative AI to enhance alignment. Participants are encouraged to bring a syllabus to use during the […]
Organized by the Center for Teaching Excellence. This workshop introduces instructors to the principles of student-centered learning experience design, with a focus on integrating generative AI tools available at Texas A&M University. Participants will explore how generative AI can support personalized, engaging, and enhanced learning environments, and will apply these insights to design a student-centered […]
