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Entropy and natural selection
No details are available for this event.
Digital Sociology MSc - Postgraduate taught programmes | The University of Edinburgh
Study the MSc Digital Sociology at Edinburgh. Features a specialised Social Data Science pathway with training in Python, R, and computational methods. Ideal for social science graduates seeking data science careers.
Academic Profile: Professor John Frank - DDI
John Frank is Chair of Public Health Research and Policy at the University of Edinburgh and leads a project within the Data for Children Collaborative with UNICEF aiming to predict obesity in Scottish children. What is the aim of your project? We
September 2019 | Alumni Services | Alumni
Books on the economy, utopia and religious architecture are included in this month's alumni-penned selection.
Ito vs. Stratonovich dilemma
Dealing with many degrees of freedom is often greatly simplified by considering fast degrees of freedom as a "random" noise, often assumed to be uncorrelated (white). I will discuss how adding (multiplicative) white noise to differential equatio
About the course | Centre for Clinical Brain Sciences | Centre for Clinical Brain Sciences
This two-day course is suitable for health professionals.
History and Economics MA (Hons) - Undergraduate programmes | The University of Edinburgh
A joint degree in history and economics provides a rare opportunity to study these two disciplines together. Economics is concerned with the mechanisms and incentives affecting resource allocation, while history adds its concerns with wider sources
Dispersion in cellular flows
I will discuss how the statistics of particle released in a two-dimensional incompressible periodic flow can be captured using the theory of large deviations. This leads to an eigenvalue problem that can be solved asymptotically in the
The Mathematics of Marriage
The mathematical biologist James D. Murray, made an interesting attempt to study the dynamics of human marital interactions. Working with the psychologist John Gottman, he developed a model which they claim has a greater than 94% success rate at
An introduction to networks
I plan to give a general overview of some aspects of network theory. I'll explain what networks are and their properties of interest. I'll briefly describe the famous models of Erdos and Renyni (random networks) and Watts & Strogatz (small world