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Courses and supervision in Computer Science: - Programming (Java, C, C#, PHP, JS, Python) - PFE and IT Project - Initiation course in Computer Science - Assistance in the use of information technologies - Database (MySQL, SQL Server, Oracle, SQL, PL SQL)

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Operating systems for IT Infrastructure course presents the foundations of computer architecture, operating systems, virtualization, and distributed systems which are required in IT infrastructure's architecture, engineering and administration. Overview of IT infrastructure; Hardware concepts related to OS, CPU and I/O; Process management and scheduling (PCB, signals, forks and pipes); Problems of concurrent processes, critical sections, mutual exclusion, synchronization, deadlock; Mutual exclusion, process co-operation, producer and consumer processes; Semaphores: definition, init, wait, signal operations; Interprocess Communication (IPC), Message Passing, Direct and Indirect; Memory organization and management, storage allocation; Virtual memory concepts, paging and segmentation, address mapping; Virtual storage management, page replacement strategies; File organization: blocking and buffering, file descriptor, directory structure; System virtualization (Hypervisors type1 and Hypervisors type2); Distributed systems and cloud computing.

LEARN TO PROGRAM WITH PYTHON: -------------------------------------------------- --------------- ** Full Training: >>> - CREATION OF DESKTOP SOFTWARE - <<< -LEVEL 1: _ [THE BASICS OF PROGRAMMING]: algorithm and logic and analytics _ [PRINCIPLE OF NETWORKS]: know the basics of Computer Network and important tools _ [Language Python]: the basics of Language Python - LEVEL 2 : ___PROJECT__ start of the project: creation diagram for your 1st desktop software Commander coded lines of code -LEVEL 3: __ADVANCED PROJECT__ ] - DATABASE MANAGEMENT -> Learn SQL Language ] - BUG CORRECTION END OF PROJECT: test your 1st application

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Data Structures and Algorithms are the building blocks that make up the solutions to all computational problems. Understanding how to organize data and about fundamental algorithms is essential for solving all computational problems now and in the future. If you truly want to understand computer science, start from here.

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