This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand t-tests (e.g., one-sample, independent samples, paired samples) and ANOVAs (e.g., one-way, mixed, ANCOVA) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of […]
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand t-tests (e.g., one-sample, independent samples, paired samples) and ANOVAs (e.g., one-way, mixed, ANCOVA) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of […]
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 […]
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 […]
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 […]
Dr. Sambandh Dhal, Artificial Intelligence – Augmented Sorting Postdoctoral Research Fellow, Idaho National Laboratory Dr. Dhal is an expert in applied machine learning in precision agriculture and completed his Ph.D. in Computer Engineering at Texas A&M. Join us for his presentation “Precision Plant Biomass Characterization in Agriculture: Harnessing Machine Learning and Hyperspectral Imaging” on Friday, […]
Join us for weekly coffee chats to learn about the exciting intersection of Data Science, AI/ML, Digital Twina (DTs), and Large Language Moldes (LLMs) in Nuclear Engineering! This event is for NUEN Students interested in learning and incorporating data science into their research or capstone projects and NUEN professionals curious about Data Science, AI/ML, DTs, […]
Join us for a career talk with Dr. Ming-Ray Liao, Survey Statistician at the U.S. Census Bureau. Dr. Liao works on model-based poverty and health insurance estimates, conducts ML-based data imputation, and collaborates on large-scale administrative data projects. Come learn about his transition from academia to government data science, key skills for the industry, and […]
From Lab to Launch: The Move to Industry Join us for a virtual career talk by Dr. Tom Tibbett, Principal AI Strategy Advisor at SAP, on his journey from anacademic setting to an industry position. He will share the skills, approaches, and logical next steps required to navigate that career shift.
Join us for a virtual career talk with Dr. Kelly Hirsch, a Ph.D. graduate from Texas A&M’s Psychology Department. With experience in UX research, consulting, and data analytics, Dr. Hirsch will share her journey transitioning from academia to industry and what skills proved most valuable.
Location: Blocker 220 and online via Zoom Curious about data science? Wondering how it differs from traditional scientific methods? Want to discover its potential applications in geoscience and global carbon cycle research? Join our workshop to explore these questions and more! This short course aims to provide an intuitive understanding of data science and its applications in geoscience […]
Location: Texas A&M University, Blocker Building, Room 220 & 102 This free five-day summer school is designed to introduce graduate students to the fundamentals of Physics-Informed Neural Networks (PINNs) and Scientific Machine Learning (SciML). The first three days will focus on foundational concepts in PINNs, structured into morning theory sessions followed by afternoon hands-on tutorial […]
