Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.
Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.
Introduces the fundamentals of software engineering, covering instruction processing, algorithms, programming languages, abstractions, testing, security, and open source.
