CH-310: Dynamics and kineticsThe course covers the principles of chemical kinetics, including differential rate laws, derivation of exact and approximate integral rate laws for common elementary and composite reactions, fundamentals of collision and transition state theories, and appl ...
MICRO-435: Quantum and nanocomputingThe course teaches non von-Neumann architectures. The first part of the course deals with quantum computing, sensing, and communications. The second focuses on field-coupled and conduction-based nanocomputing, in-memory and molecular computing, cellular au ...
PHYS-314: Quantum physics IIThe aim of this course is to familiarize the student with the concepts, methods and consequences of quantum physics. ...
CH-250: Mathematical methods in chemistryThis course consists of two parts. The first part covers basic concepts of molecular symmetry and the application of group theory to describe it. The second part introduces Laplace transforms and Fourier series and their use for solving ordinary and partia ...
PHYS-467: Machine learning for physicistsMachine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised. ...
HUM-226: Wellbeing and Planetary BoundariesCe cours approfondit les acquis d'ENV-101 pour mieux comprendre et mettre en œuvre la durabilité : comment transformer la société vers le bien-être pour tous dans les limites écologiques, avec des approches et solutions sectorielles (énergie, bâtiments, mo ...
MSE-704: 3D Electron Microscopy and FIB-NanotomographyThe principles of 3D surface (SEM) reconstruction and its limitations will be explained. 3D volume reconstruction and tomography methods by electron microscopy (SEM/FIB and TEM) will be explained and compared with x-ray tomography. ...
COM-490: Large-scale data science for real-world dataThis hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insight ...
AR-698: Collective Figurations of BaukulturConceptualizes figuration in architecture and urban design within historical and theoretical debates on representation; historicizes design research; critically contrasts operative representations with collective figurations and assesses their implications for democratic co-design.
CIVIL-478: Design and assessment of concrete bridgesThe course focuses on the conceptual and detailed design of reinforced and prestressed concrete bridges. The first part covers the history and provides an introduction to bridge engineering. The second part covers the detailed design of the superstructure and substructure of bridges.
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.) ...
MGT-416: Causal inferenceStudents will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory and
application will be balanced, with students working directly with network data throughout the course. ...
PHYS-415: Particle physics IPresentation of particle properties, their symmetries and interactions.
Introduction to quantum electrodynamics and to the Feynman rules. ...
HUM-261: Contemporary AfricaCe cours devra permettre aux étudiants de développer une réflexion critique autour des grandes questions qui animent l'Afrique d'aujourd'hui. ...
BIO-480: Neuroscience: from molecular mechanisms to diseaseThe goal of the course is to guide students through the essential aspects of molecular neuroscience and neurodegenerative diseases. The student will gain the ability to dissect the molecular basis of disease in the nervous system in order to begin to under ...
