Cours recommandés et cours prérequis ‒ IC ‐ EPFL

Cours recommandés pour les programmes Master

Pour les programmes Master listés ci-dessous, une liste de cours recommandés a été établie. Elle peut être consultée sur les pages Bachelor Informatique et Systèmes de communication.

Programmes Master :

Cours prérequis pour les spécialisations

Certains cours de 3^ème année, du Master et des spécialisations nécessitent d’avoir suivi au préalable le cours prérequis. Prière de vous référer aux descriptifs de cours.

Analyse III (2ème) ⇒ Distributed intelligent systems
Computer architecture (2ème) ⇒ Advanced computer architecture, Advanced multiprocessor architecture, Principles of computer systems, Real-time embedded systems
Computer language processing (3ème) ⇒ Principles of computer systems
Computer networks (2ème) ⇒ Principles of computer systems
Functional programming (2ème) ⇒ Principles of computer systems
Introduction to database systems (3ème) ⇒ Principles of computer systems
Introduction to operating systems (3ème) ⇒ Principles of computer systems
Probability and statistics (2ème) ⇒ Distributed intelligent systems
Software engineering (3ème) ⇒ Principles of computer systems

Algorithms (2ème) ⇒ Algorithms II, Computational complexity, Machine learning
Analyse III (2ème) ⇒ Machine learning, Markov chains and algorithmic applications
Introduction to database systems (3ème) ⇒ Distributed information systems, Systems for data management and data science
Introduction to machine learning (2ème) ⇒ Machine learning
Introduction to operating systems (3ème) ⇒ Systems for data management and data science
Linear models (3ème) ⇒ Machine learning
Modèles stochastiques pour les communications (3ème) ⇒ Markov chains and algorithmic applications, Statistical signal and data processing through applications
Probability and statistics (2ème) ⇒ Algorithms II, Markov chains algorithmic applications, Machine learning, Statistics for data science
Signal processing for communications (3ème) ⇒ Statistical signal and data processing through applications
Theory of computation (2ème) ⇒ Computational complexity

Algorithms (2ème) ⇒ Algorithms II, Concurrent computing, Distributed algorithms
Computer architecture (2ème) ⇒ Principles of computer systems
Computer language processing (3ème) ⇒ Principles of computer systems
Computer networks (2ème) ⇒ Distributed algorithms, Principles of computer systems
Functional programming (2ème) ⇒ Principles of computer systems
Introduction to database systems (3ème) ⇒ Distributed information systems, Principles of computer systems, Systems for data management and data science
Introduction to operating systems (3ème) ⇒ Concurrent computing, Distributed algorithms, Principles of computer systems, Systems for data management and data science
Parallelism and concurrency (2ème) ⇒ Concurrent computing
Probability and statistics (2ème) ⇒ Algorithms II
Software engineering (3ème) ⇒ Principles of computer systems

Algebra (3ème) ⇒ Cryptography and security
Algorithms (2ème) ⇒ Algorithms II, Cryptography and security
Computer architecture (2ème) ⇒ Advanced computer architecture
Computer networks (2ème) ⇒ Mobile networks
Computer security (3ème) ⇒ Advanced topics on privacy enhancing technologies, Cryptography and security, Mobile networks, Student seminar : security protocols and applications
Principles of digital communications (3ème) ⇒ Mobile networks
Probability and statistics (2ème) ⇒ Algorithms II, Cryptography and security

Algebra (3ème) ⇒ Cryptography and security
Algorithms (2ème) ⇒ Algorithms II, Cryptography and security, Distributed algorithms
Computer networks (2ème) ⇒ Distributed algorithms, Mobile networks
Computer security (3ème) ⇒ Cryptography and security, Mobile networks
Introduction to database systems (3ème) ⇒ Distributed information systems
Introduction to operating systems (3ème) ⇒ Distributed algorithms
Modèles stochastiques pour les communications (3ème) ⇒ Networks out of control
Principles of digital communications ⇒ Mobile networks
Probability and statistics (2ème) ⇒ Algorithms II, Cryptography and security

Algorithms (2ème) ⇒ Machine learning
Analyse III (2ème) ⇒ Machine learning
Introduction to computer graphics (3ème) ⇒ Advanced computer graphics, Virtual reality
Introduction to machine learning (2ème) ⇒ Machine learning
Linear models (3ème) ⇒ Machine learning
Modèles stochastiques pour les communications (3ème) ⇒ Statistical signal and data processing through applications
Probability and statistics (2ème) ⇒ Automatic speech processing, Machine learning
Signal processing for communications (3ème) ⇒ Automatic speech processing, Applied biomedical signal processing, Computational photography, Mathematical foundations of signal processing, Statistical signal and data processing through applications

Algorithms (2ème) ⇒ Concurrent computing, Distributed algorithms
Computer architecture (2ème) ⇒ Advanced computer architecture, Advanced multiprocessor architecture, Principles of computer systems
Computer language processing (3ème) ⇒ Principles of computer systems
Computer networks (2ème) ⇒ Decentralized systems engineering, Distributed algorithms, Mobile networks, Principles of computer systems
Computer security (3ème) ⇒ Decentralized systems engineering, Mobile networks
Functional programming (2ème) ⇒ Principles of computer systems
Introduction to database systems (3ème) ⇒ Principles of computer systems, Systems for data management and data science
Introduction to operating systems (3ème) ⇒ Concurrent computing, Decentralized systems engineering, Distributed algorithms, Principles of computer systems, Systems for data management and data science
Parallelism and concurrency (2ème) ⇒ Concurrent computing, Decentralized systems engineering
Principles of digital communications (3ème) ⇒ Mobile networks
Software engineering (3ème) ⇒ Principles of computer systems

Computer networks (2ème) ⇒ Mobile networks
Computer security (3ème) ⇒ Mobile networks
Modèles stochastiques pour les communications (3ème) ⇒ Networks out of control, Statistical signal and data processing through applications
Principles of digital communications (3ème) ⇒ Mobile networks
Probability and statistics (2ème) ⇒ Advanced probability and applications
Signal processing for communications (3ème) ⇒ Statistical signal and data processing through applications

Algorithms (2ème) ⇒ Algorithms II, Concurrent computing, Distributed algorithms, Machine learning, Topics in theoretical computer science
Analyse III (2ème) ⇒ Advanced probability and applications, Markov chains and algorithmic applications
Computer networks (2ème) ⇒ Distributed algorithms
Graph theory (3ème) ⇒ Probabilistic method in combinatorics
Introduction to machine learning (2ème) ⇒ Machine learning
Introduction to operating systems (3ème) ⇒ Concurrent computing, Distributed algorithms
Linear models (3ème) ⇒ Machine learning
Modèles stochastiques pour les communications (3ème) ⇒ Markov chains and algorithmic applications
Parallelism and concurrency (2ème) ⇒ Concurrent computing
Probability and statistics (2ème) ⇒ Advanced algorithms, Advanced probability and applications, Machine learning, Markov chains and algorithmic applications

Algebra (3ème) ⇒ Cryptography and security
Algorithms (2ème) ⇒ Cryptography and security, Distributed algorithms, Machine learning
Computer networks (2ème) ⇒ Distributed algorithms
Computer security (3ème) ⇒ Cryptography and security
Intelligence artificielle (3ème) ⇒ Intelligent agents
Introduction à l’optimisation et à la recherche opérationnelle (3ème) ⇒ Machine learning
Introduction to database systems (3ème) ⇒ Distributed information systems, Systems for data management and data science
Introduction to operating systems (3ème) ⇒ Distributed algorithms, Systems for data management and data science
Linear models (3ème) ⇒ Machine learning
Modèles stochastiques pour les communications (3ème) ⇒ Networks out of control
Probability and statistics (2ème) ⇒ Cryptography and security, Machine learning