Description

AI and ML are being applied in a myriad of ways in data management. In this course, we explore some of the latest research that includes recovering semantics of structured data using both knowledge graphs and language models; improving query optimization in DBMS using learning; learned indexes and others. We will cover both how AI is being applied to optimize and improve databases management systems extending their use in data science and how data management techniques are being used to optimize AI and data science models. This will be a reading course with one or two papers presented and discussed each class. There will be some guest lectures (which may be on zoom). Depending on enrollment students should expect to present and lead the discussion on at least two papers. A component of the course will be a research project that uses or extends some of the research ideas presented in class.

Professor

Renée J. Miller

Teaching Assistant

Aamod Khatiwada