Recommended and prerequisite courses ‒ IC ‐ EPFL

Recommended courses for the Master’s programs

In order to prepare students, a list of recommended courses for the master’s degree programs listed below has been established. The various tracks can be found on the Bachelor Computer Science and Communications Systems pages.

Master Programs:

Prerequisite courses for Master’s Specializations

Some of the 3rd year bachelor courses, master courses and specializations require students to take a prerequisite course. Please refer to the course descriptions.

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

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

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

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

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

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

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

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

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

Algebra (3rd year) ⇒ Cryptography and security
Algorithms (2nd year) ⇒ Cryptography and security, Distributed algorithms, Machine learning
Computer networks (2nd year) ⇒ Distributed algorithms
Computer security (3rd year) ⇒ Cryptography and security
Intelligence artificielle (3rd year) ⇒ Intelligent agents
Introduction to database systems (3rd year) ⇒ Distributed information systems, Systems for data management and data science
Introduction to machine learning (2nd year) ⇒ Machine learning
Introduction to operating systems (3rd year) ⇒ Distributed algorithms, Systems for data management and data science
Linear models (3rd year) ⇒ Machine learning
Modèles stochastiques pour les communications (3rd year) ⇒ Networks out of control
Probability and statistics (2nd year) ⇒ Cryptography and security, Machine learning