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Cours associés (12)
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This hands-on course teaches the tools & methods used by data scientists, from researching solutions to scaling up
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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
BIO-645: Introduction to Applied Data Science (I2ADS)
The "Introduction to Applied Data Science" (I2ADS) course is aimed at students of all levels to train them in the core computer science software stack and techniques forming the pillars of open & repr
ENG-270: Computational methods and tools
This course prepares students to use modern computational methods and tools for solving problems in engineering and science.
COM-501: Advanced cryptography
This course reviews some failure cases in public-key cryptography. It introduces some cryptanalysis techniques. It also presents fundamentals in cryptography such as interactive proofs. Finally, it pr
CS-471: Advanced multiprocessor architecture
Multiprocessors are basic building blocks for all computer systems. This course covers the architecture and organization of modern multiprocessors, prevalent accelerators (e.g., GPU, TPU), and datacen
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-214: Software construction
Learn how to design and implement reliable, maintainable, and efficient software using a mix of programming skills (declarative style, higher-order functions, inductive types, parallelism) and
fundam
CS-438: Decentralized systems engineering
A decentralized system is one that works when no single party is in charge or fully trusted. This course teaches decentralized systems principles while guiding students through the engineering of thei
CS-322: Introduction to database systems
This course provides a deep understanding of the concepts behind data management systems. It covers fundamental data management topics such as system architecture, data models, query processing and op