Explores learning from interconnected data with graphs, covering modern ML research goals, pioneering methods, interdisciplinary applications, and democratization of graph ML.
Introduces the fundamentals of software engineering, covering instruction processing, algorithms, programming languages, abstractions, testing, security, and open source.
Discusses the history and impact of open source software, open data, and open science, emphasizing the benefits of sharing information in the digital age.
