CS-233 Introduction to machine learning

Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented.

PHYS-101(g) Physique générale : mécanique

Le 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 phénomènes avec des outils théoriques appropriés.

CS-208 Computer architecture

CS-320 Computer language processing

See https://lara.epfl.ch/w/cc

Computer Language Processing presents algorithms, tools, and theory for automatically processing computer languages. These include in particular programming languages, so the course covers the topic of construction of interpreters and compilers. At the same time, it studies more broadly the concept of processing formal languages, such as regular and context-free languages.

COM-208 Computer networks

This course is an introduction to computer networking for undergraduates. In this course, you will familiarize yourself with the basic principles and the architecture of computer networks. We will go over the main components and applications of the TCP/IP protocol stack as well as the Internet. The class consists of lectures and lab sessions. During the lab sessions, you will work on a set of small exercises to get hands-on experience of what you have learned during the lecture.

With this course, you will acquire the basic knowledge of the Internet architecture and of its evolution. You will also understand the internals of the Internet protocols. In addition, you will be able to design and code your own TCP/IP applications and protocols and to solve simple configuration and performance problems that may arise in practice.

EE-202(b) Electronique I

EE-203(b) Electronique II

CS-321 Informatique du temps réel

COM-300 Modèles stochastiques pour les communications