Organized by the Center for Teaching Excellence. 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 […]
Participants will learn techniques for exploring and describing textual datasets, identifying patterns, and communicating findings through visualization. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Interpreting exploratory findings in a social science context, word frequency analysis and comparative […]
Qiben Yan is an Associate Professor of Computer Science and Engineering at Michigan State University, where he directs the Secure and Intelligent Things (SEIT) Lab. His research focuses on cyber-physical systems security and trustworthy AI systems, spanning voice/assistive technologies, autonomous and robotic systems, and sensing/communication pipelines. Location: Blocker 220 and Zoom Zoom ID: 974 9688 […]
This workshop is designed for faculty and staff who have no prior experience in AI and have a limited technical background. Learn the strengths and limitations of generative AI (GenAI) and discuss key principles of responsible use in education while exploring everyday, no-code tools like ChatGPT. This workshop will be held virtually and hosted by […]
Organized by the Center for Teaching Exellence. 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 […]
Texas NLP Symposium is a one-day workshop featuring invited talks, oral presentations, and poster sessions. Our goal is to bring together NLP researchers across Texas to share and discuss ongoing or published research, as well as to foster future collaborations. Participants from outside Texas are also welcome.
Participants will learn how to train models to categorize texts based on labeled examples and understand evaluation metrics. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Classification algorithms like Naive Bayes and Logistic Regression, Evaluation metrics such as accuracy, […]
This workshop is designed for faculty and staff with no prior AI experience and limited technical background. Learn the strengths and limitations of generative AI (GenAI) and discuss key principles of responsible use in education, while exploring everyday, no-code tools such as ChatGPT. This workshop will be held virtually and hosted by TAMIDS Senior Ambassador […]
Overview The Texas Digital Twin Symposium brings together researchers, students, and industry partners from across Texas to advance the growing digital twin research ecosystem, with a strong focus on data science–enabled methods and real-world applications. The event is designed to spark new cross-disciplinary collaborations spanning engineering, statistics, computer science, and applied mathematics. Through technical sessions, […]
Participants will learn how to identify latent themes in large text collections using unsupervised machine learning and how to interpret and validate these findings. It will be one hour of theory and explanation of the concepts, and the last hour will be hands-on practice in Python. Key topics include: Unsupervised learning, topic modeling concepts, Latent […]
