MATH-700: Reasoning in artificial intelligenceLarge language models have raised the potential of artificial intelligence in various applications, including science and mathematics, but their reasoning capabilities remain under investigations. This class focuses on defining, measuring and improving the ...
COM-406: Foundations of Data ScienceWe discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas and techniques that come from probability, information the ...
CS-461: Foundation models and generative AIThis course covers the principles, architectures, and applications of foundation models and generative AI, including generative methods, tokenization, multi-modal learning, adaptation, prompting, and their use in reasoning, decision-making, and scientific ...
MATH-467: Probabilistic methods in combinatoricsThe 'probabilistic method' is a fundamental tool in combinatorics. The basic idea is as follows: to prove that an object (for example, graph) with certain properties exists, it suffices to prove that if the object is chosen at random, then it has the desir ...
PHYS-431: Quantum field theory IThe goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions. ...
MATH-415: Probabilistic models of modern AIThis is a course where we will cover various topics related to recent progress in AI. Emphasis will be on understanding conceptual and mathematical principles, and on relating those to experimental data for machine learning models used in practice. ...
MATH-101(g): Analysis IÉtudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles d'une variable. ...
PHYS-101(d): General physics : mechanicsLe but du cours de physique générale est de donner à l'étudiant les notions de base nécessaires à la compréhension des phénomènes physiques. L'objectif est atteint lorsque l'étudiant est capable de prévoir quantitativement les conséquences de ces phénomène ...
CS-620: Agentic-Systems SecurityThis is a seminar course where we will read a selection of papers covering the topic of AI agent security. The goal is to discuss the published approaches and to compare them with each other. This should give a good foundation for students who want to continue working in the area.
CIVIL-486: Integrated decision-making for buildingsThis course addresses low-carbon buildings as a problem of integrated decision-making. Through cases, debates, and decision exercises, students learn to justify decisions at the energy-material nexus, navigating trade-offs, uncertainty, and competing technical, economic, and societal objectives.
HUM-432: How people learn: Designing Learning Tools IThe students will understand the cognitive and social factors which affect learning - particularly in science and engineering. They will be able to use social research techniques as part of the design process to understand end users. ...
MATH-207(d): Analysis IVThe course studies the fundamental concepts of complex analysis and Laplace analysis with a view to their use to solve multidisciplinary scientific engineering problems. ...
HEC-504: Sustainable choice modelsWith sustainability playing an increasingly important role in consumer behavior, businesses face the challenge of promoting more responsible choices. This course equips students with the tools to analyze decision-making and design strategies that nudge consumers toward sustainability.
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.) ...
ME-324: Discrete-time control of dynamical systemsOn introduit les bases de l'automatique linéaire discrète qui consiste à appliquer une commande sur des intervalles uniformément espacés. La cadence de l'échantillonnage qui est associée joue un rôle primordial pour assurer la stabilité et la performance d ...
EE-740: ELLIS Summer School on AI for HealthThe EPFL AI Center and the ELLIS EPFL unit are organizing the AI for Health Summer School, taking place on the EPFL campus from 7th to 11th July, 2025. This intensive week will delve into how AI is transforming biomedicine, with a focus on the intersection ...
