EE-619: Advanced topics in network neuroscienceThe main goal of this course is to give the student a solid introduction into approaches, methods, and tools for brain network analysis. The student will learn about principles of network science and
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 dat
CH-419: Protein mass spectrometry and proteomicsIn systems biology, proteomics represents an essential pillar. The understanding of protein function and regulation provides key information to decipher the complexity of living systems. Proteomic tec
ENG-430: Risk managementThis course provides students with the opportunity to acquire the methods and tools necessary for modern risk management from an engineering standpoint. It emphasizes actors, resources, and objectives
PHYS-758: Advanced Course on Quantum CommunicationThe aim of this doctoral course by Nicolas Sangouard is to lay the theoretical groundwork that is needed for students to understand how to take advantage of quantum effects for communication technolog
ENG-400: Water quality modelingThis course builds on environmental chemistry and microbiology taken in previous courses. The emphasis is on quantification using the public domain package, PHREEQC, which is an excellent computation
PENS-223: Waters within citiesKnowledge of how to articulate the "urban transition" is today urgently needed. The course reflects on the possibility of designing an urban space without negatively impacting on its water quality.
MICRO-391: Interfaces in biology and nanoscienceA biological system is composed of water, macromolecules and interfaces. Processes inside the cell depend on biomolecular interactions that are decomposed into elementary physical and chemical interac
