CS-358(a): Making intelligent things AThe course aims at teaching the prototyping of intelligent physical artifacts. It aims to solve real-world challenges by a
combination of microcontroller programming, electronics, and computer -aided
MICRO-401: Machine learning programmingThis is a practice-based course, where students program algorithms in machine learning and evaluate the performance of the algorithm thoroughly using real-world dataset.
BIO-392: OncologyThis course provides a comprehensive overview of the biology of cancer, illustrating the mechanisms that cancer cells use to grow and disseminate at the expense of normal tissues and organs.
CH-634: Chemical Probes for Imaging in BiologyThe goal of this course is to provide an overview on recent developments in the design and synthesis of fluorescent and bioluminescent probes for applications in basic research and medicine. Through t
EE-320: Analog IC designIntroduction to the design of analog CMOS integrated circuits at the transistor level. Understanding and design of basic structures.
NX-414: Brain-like computation and intelligenceRecent advances in machine learning have contributed to the emergence of powerful models of animal perception and behavior. In this course we will compare the behavior and underlying mechanisms in the
BIO-512: Digital epidemiologyEpidemiology is foundational to medicine and public health. This course starts with the key principles of classical epidemiology, progressing through computational modeling techniques, and concluding
MSE-466: Wood structures, properties and usesThe presentation of tree growth and formation of wood anatomical structures, linked to the description of specific physical and mechanical properties, makes it possible to understand the different for
