In this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by deterministic or stochastic differential equations. ...
Introduction to Human Factors/Usability Engineering theory and research methods.
Human Factors Engineering/Usability is interdisciplinary and focuses on human cognition, behavior and ergonomics in design. The course focus on human systems integration and ...
The goal is to guide students into the essential topics of Behavioral and Cognitive Neuroscience. The challenge for the student in this course is to integrate the diverse knowledge acquired from those levels of analysis into a more or less coherent underst ...
We learn and apply software engineering principles to develop Python projects addressing life science problems. Projects will be expanded iteratively throughout the semester. ...
The student will learn state-of-the-art algorithms for solving differential equations. The analysis and implementation of these algorithms will be discussed in some detail. ...
This course provides the trends in nanoelectronics for scaling, better performances and lower energy per function. It covers fundamental phenomena of nanoscale devices, beyond CMOS steep slope switches, emerging architectures, cryo electronics, non-volatil ...
This course integrates knowledge in basic, systems, clinical and computational neuroscience, and engineering with the goal of translating this integrated knowledge into the development of novel methods, technology for the clinical application for patients ...
We will discuss recent topics in nonequilibrium physics of complex living and artificial systems, ranging from collective behaviors in active matter to noise and information processing in cellular biophysics to stochastic learning dynamics in deep artifici ...
In this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by determinstic or stochatic differnetial equations. ...
«Unearthing Traces» propose to explore memory processes, power structures in archival practices in relation to built environments and material traces. This course is an on-site investigation on the material witnesses of Swiss colonialism in the built envir ...
«Unearthing Traces» proposes to explore memory processes, power structures in archival practices in relation to built environments and
material traces, providing an interdisciplinary frame allowing for a critical reading of one's own archival research and ...