The calculus of variations originated from classical investigations into fundamental problems of maximizing enclosed areas, minimizing travel times, d...
Learn how supervised, unsupervised, and reinforcement learning, as well as evolutionary computations can help us understand how the brain functions bo...
The course starts with basic programming using Python, with some notes on other computing frameworks. Students then get acquainted with data manipulat...
The challenge of quantum gravity is to build a theory valid over all the scales down to the minuscule Planck scale, which explains how the known physi...
Complex systems are ubiquitous and play key roles in physical nature, biological life, and social dynamics. We will address the following questions: W...
An introduction to chaos theory and related topics in nonlinear dynamics, including the detection and quantification of chaos in experimental data, fr...
The course covers the fundamentals of neuroscience with specific emphasis on the properties of key parts/features of neural circuits: neurons (and gli...
Learn how to use machine learning methods for real data. Beginning with the basic of machine learning including linear algebra, probability, linear re...
