Students are expected to be self-motivated, curious and enthusiastic about machine learning on graphs. You'll get the most out of this course by completing the (moderate time commitment) coursework, so make sure you have the free time and energy needed for that. The course will have lectures every two weeks, for four lectures, taking a total of two months to complete. Each two week cycle will begin with an interactive online lecture in a Google Hangout. This will be followed with a piece of coursework, provided as a template Google Colab notebook. A week after the lecture will be a tutorial session, where the students and tutor(s) will get together and discuss the coursework and what challenges students are having.