•   Digitalisation Technologies 5Y00FD85-3003 01.01.2022-21.05.2022  5 cr  (22YDT) +-
    Learning outcomes of the course unit
    The student knows the most important technologies driving digitalisation: Internet of Things and Things, Communication Technologies, Cyber ​​Security, Software Engineering. The student knows the basic methods of producing digital services and the technological infrastructure that enables digitalization. The student knows the basic principles of artificial intelligence and machine learning.
    Course contents
    An overview of technologies behind digitalization. Digitalization and society. Internet of Things. Overview of Communication Technologies. Production of digital services and software engineering. Cyber ​​security. Visions for the future of digitalization.
    Assessment criteria
    Satisfactory

    The student knows and recognizes the technologies in the course content and their roles in different digital solutions. The student understands the general principles of technologies and their applications in digital solutions.

    Good

    The student is familiar with the technologies included in the course content and recognizes their importance and roles in the overall architecture of digital services and systems. The student will also be able to present alternative solutions and development areas for existing systems.

    Excellent

    The student knows the technologies in the course content. The student is also able to analyze various digital solutions from the point of view of the overall technological architecture and evaluate the suitability of the technologies used in the architecture for the solution. The student is also able to identify digital solutions and alternative implementation methods.


    Name of lecturer(s)

    Tony Torp

    Language of instruction

    Finnish

    Timing

    01.01.2022 - 21.05.2022

    Registration

    15.11.2021 - 15.01.2022

    Credits

    5 cr

    Group(s)

    22YDT

    Teacher(s)

    Tony Torp

    Unit, in charge

    MD in Data Expertise and Artificial Intelligence

    Degree programme(s)

    Master's Degree Programme in Data Expertise and Artificial Intelligence

    Office

    TAMK Main Campus

    Evaluation scale

    0-5