AI Foundations for Graduate Research Excellence

Name: AI Foundations for Graduate Research Excellence
Start: 2026-02-11T15:30:00-06:00
End: 2026-02-11T17:00:00-06:00
Location: Private Location (sign in to display)

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Learning Graduate/Professional Professional Development Research

Wed, Feb 11, 2026

3:30 PM – 5 PM CST (GMT-6)

Private Location (sign in to display)

11

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Details

This workshop provides graduate students with an accessible yet rigorous introduction to large language model mechanics and advanced prompt engineering—essential skills for modern scholarship. Through intuitive explanations of pattern recognition in text (without heavy mathematics), participants learn practical techniques with immediate research applications, including systematic literature synthesis, reliable code generation for data analysis, and precise research question formulation.

No AI background is required. Students gain actionable expertise in crafting effective prompts for tools such as ChatGPT, Claude, and domain‑specific research systems, helping them produce trustworthy results for thesis work, publications, and computational workflows.

Speakers

Hatef Dastour

Assistant Teaching Professor and AI Fellow

Dr. Hatef Dastour is an Assistant Teaching Professor of Data Science and Analytics at the University of Missouri’s Institute for Data Science and Informatics and an AI Faculty Fellow in the Graduate School. His current research centers on applying artificial intelligence, large language models, machine learning, and geospatial analytics to natural disasters, environmental modeling and monitoring, and understanding how these environmental changes affect human health. He develops and teaches graduate courses in natural language processing, large language models, geospatial AI, cloud computing, and time series analysis, while contributing to AI policy, faculty training, and graduate student mentoring in data science and analytics.

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