Concept
Concurrency (computer science)
Cours associés (15)
CS-453: Concurrent computing
With the advent of modern architectures, it becomes crucial to master the underlying algorithmics of concurrency. The objective of this course is to study the foundations of concurrent algorithms and
CS-302: Parallelism and concurrency in software
From sensors,to smart phones,to the world's largest datacenters and supercomputers, parallelism & concurrency is ubiquitous in modern computing.There are also many forms of parallel & concurrent execu
CS-206: Parallelism and concurrency
Course no longer offered for new students; this edition is only a make-up course for those who repeated the year. Please log in with EPFL credentials and consult the mediaspace link below for course v
CS-300: Data-intensive systems
This course covers the data management system design concepts using a hands-on approach.
CS-307: Introduction to multiprocessor architecture
Multiprocessors are a core component in all types of computing infrastructure, from phones to datacenters. This course will build on the prerequisites of processor design and concurrency to introduce
CS-323: Introduction to operating systems
Introduction to basic concepts of operating systems.
CS-451: Distributed algorithms
Computing is nowadays distributed over several machines, in a local IP-like network, a cloud or a P2P network. Failures are common and computations need to proceed despite partial failures of machin
CS-460: Systems for data management and data science
This is a course for students who want to understand modern large-scale data analysis systems and database systems. The course covers fundamental principles for understanding and building systems for
COM-304: Communications project
The course teaches the development of systems that solve real-world challenges in communications, signal processing, AI, and robotics. Students will work in teams, construct their ideas, and either pr
ENG-633: Supervising Students in Projects
The combination of practical and reflective activities in this course provide participants with evidence-informed teaching skills for supervising and evaluating students working on projects.