  These are lecture notes based on the first part of a course on 'Mathematical
Data Science' that I taught to final year BSc students in the UK between 2019
and 2020. Topics include: Concentration of measure in high dimensions; Gaussian
random vectors in high dimensions; Random projections; Separation/disentangling
of Gaussian data.
