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Praktikum: Computer Systems Lab (IN2106, IN4340)

Course 0000005973 in WS 2022/3

General Data

Course Type practical training
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 1 - Chair of Engineering Software for Decentralized Systems (Prof. Bhatotia)
Lecturers Redha Gouicem
Atsushi Koshiba
Charalampos Mainas
Masanori Misono
Peter Okelmann
Sebastian Reimers
Responsible/Coordination: Pramod Bhatotia
Dates

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks The computer systems lab is an advanced course where the students will work on an open-source project. The students will work on practical and state-of-the-art computer systems to evaluate them, dissect them, reveal their internals, and modify them to add new features. Overall, the course focuses on learning the art of building computer systems by deploying, analyzing, reproducing, and breaking practical computer systems! The term computer systems cover a broad range of topics: distributed systems, systems for machine learning/AI, systems security, large-scale data analytics systems, storage systems, operating systems, filesystems, databases, synchronization/concurrency primitives, compiler-assisted systems, dependability, reliability, cloud/edge computing, IoT systems, etc. In short, we will focus on software systems that solve important practical problems. The students are encouraged to contribute to the open-source project by creating a pull request to get their feature(s) merged into the project. There will be bonus points for students with accepted pull requests. Additionally, the top students will be nominated/encouraged to participate in the artifact evaluation committee for the top computer systems conferences: OSDI, SOSP, ASPLOS, EuroSys, etc. Please find more info here: https://github.com/TUM-DSE/sys-lab
Links TUMonline entry

Equivalent Courses (e. g. in other semesters)

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