Course group - M-INFO

M- COMPUTER SCIENCE

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ECTS credits

10.0

Course Director(s):

  • LEFRANCOIS Maxime
  • General Description:

    The aim of the Computer Science major is to acquire advanced technologies, methodologies and concepts in computer science.

    It focuses on the acquisition of fundamental skills in computer science, independent of a particular type of application or framework.

    Links between course units:

    The teaching units are:

    • Technological Foundation of Computer Science (38h): unix command line, bash scripting, code version management, dependency management, code automation, debugging, documentation, licensing, publishing, containerization, continuous integration and deployment.
    • Software engineering (40h): computer system modeling, agile methods, requirements gathering and structuring, architecture design, architecture styles, design patterns, coding and naming standards, ethics, law.
    • Security, Trust, Confidentiality (38h): modern cryptography, network security tools, access control, trust management and negotiation mechanisms, personal data management.
    • Cloud and Edge Infrastructures (24h): main concepts and business impacts of cloud and edge computing with practical work using Amazon Web Services (AWS) platform.
    • Data interoperability and semantics (20h): data types, data formats, data query and validation languages, the value of data, data interoperability.

    The teaching unit on Technological Foundation of Computer Science provides mainly technical skills, which are useful for all the other teaching units in the major.

    The teaching unit on Software Engineering provides methodological skills and best practices for software development, systematically useful for all software development projects and systematically implemented by IT-related companies.

    The other three teaching units are relatively independent.

    Orientations / Associations with other courses:

    1. The fundamental computer science skills acquired in the Computer Science Major can be used and complemented by other computer science courses such as the Data Science Major, the AI and Big Data Challenges, the Toolbox Enterprise Software Applications and the Toolbox Web, Mobile, Embedded Programming.
    2. Toolbox 3 PWME (Web, Mobile, Embedded Programming) is more focused on learning specific software infrastructures and programming languages.
    3. Students wishing to enroll in the M2 Cyber Physical and Social Systems must take the Computer Science major in 2A or 3A.

    Key words:

    Computer science