Digital Urban History: Lausanne Time Machine

Covers continuous random variables, probability density functions, and distributions, with practical examples.

Delves into spatial intelligence, emphasizing the importance of spatial balance sheets and the interconnectedness of spaces and spatialities.

Explores the relationship between urban planning and lifestyles, emphasizing the political implications of architectural forms and urban spaces.

Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.

Introduces continuous random variables and their probability distributions, emphasizing their applications in statistics and data science.