EE-517: Bio-nano-chip designIntroduction to heterogeneous integration for Nano-Bio-CMOS sensors on Chip.
Understanding and designing of active Bio/CMOS interfaces powered by nanostructures. ...
BIO-643: Integrative structural biology for Life sciencesHands-on course in Biomolecular Integrative Structural Biology by SV experts in the field of X-ray crystallography, cryo-Electron Microscopy, Bio-NMR and protein modeling tools. No previous knowledge in Structural Biology or Bioinformatics is required. ...
MSE-609: Intro Scanning electron microscopy techniquesModern Scanning Electron Microscopes, when combined with Focused Ion Beams (Dual beam FIB-SEM), provide a larger number of multimodal imaging and analysis/characterisation modes at the nano- and micron-scales. The aim of the course is to present the extend ...
MSE-431: Physical chemistry of polymeric materialsThe student has a basic understanding of the physical and physicochemical principles which result from the chainlike structure of synthetic macromolecules. The student can predict major characteristics of a polymer from its chemical structure and molecular ...
PHYS-407: Frontiers in nanosciencesThe course covers relevant experimental and theoretical concepts in nanoscale science, from fundamental aspects like quantum tunneling and quantum size effects, to hot topics like quantum transport and nanoscale magnetism. ...
BIO-369: Randomness and information in biological dataBiology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to understand biological processes in a quantitative way. ...
MSE-351: Surface analysisThe course treats the main surface analysis methods for the characterization of surfaces, interfaces and thin films. It discusses how these methods can be applied to gain specific knowledge about structural, chemical and functional properties of surfaces a ...
CS-401: Applied data analysisThis course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) ...
MSE-715: Fundamentals of STEM lmaging and SpectroscopyLectures as well as hands-on trainings concerning different STEM imaging and spectroscopy techniques. Fundamentals of STEM, basic and advanced STEM imaging (ABF, ADF, iDPC, and 4D STEM), aberration-corrected STEM imaging and simulation, acquisition and ana ...
MICRO-429: Metrology practicalsThe student will get familiar with the techniques learnt in class (MICRO-428) and will put them to practice with experiments in the laboratory. There will be a practical training for each theme covered in class; the students will also learn good practices ...
DH-406: Machine learning for DHThis course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and implement methods to analyze diverse data types, such as imag ...
