Introduces the course on information systems, covering its structure, objectives, and foundational concepts essential for understanding data management and decision-making.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.
