•   Introduction to Data Economy HY00BT31-3003 01.12.2021-30.06.2022  1 credits  (CYJ21SJ) +-
    Learning outcomes of the course
    Student is able to
    - Explain why organizations need to apply data in decision making
    - Explain where the data comes from and how it can be used (buying, selling, collecting data, big data from IoT, digital platforms and APIs, machine learning and AI vs. statistical methods)
    - Identify the role of information in a value creation process
    - Identify key business models enabled by digital data
    - List a few “no-code” ways of experimenting with data products to validate the business model
    - Summarize how intellectual privacy regulations shape the data economy
    Teacher in charge

    Anssi Mattila

    Mode of delivery

    Distance learning

    Learning materials and recommended literature

    All necessary materials are provided on the course platform.

    Teaching methods

    Online course available for independent study at the student's own pace

    Evaluation methods and criteria

    Kurssin suorittaminen edellyttää materiaaleihin perehtymistä ja kyselyiden suorittamista hyväksytyllä pistemäärällä (vähintään 50%). (not translated)

    Language of instruction
    • English
    Timing

    01.12.2021 - 30.06.2022

    Enrollment period

    29.11.2021 - 23.05.2022

    Group(s)
    • CYJ21SJ
    Seats

    0 - 300

    Unit

    Korkeakouluyksikkö D, Tikkurila, liko

    Small group(s)
    • Pienryhmä 1 (Size: 100. Open university: 100.)
    Teacher(s)

    Anssi Mattila, Suvi Valsta

    Further information for students

    Inquiries for the course can be directed to mooc@laurea.fi.

    Programme(s)

    Complementary competence, master’s studies in English (CYJ2), Generic studies

    Campus

    Laurea Virtual Campus

    Virtual portion

    1 credits

    Evaluation scale

    Approved/Failed

    Alternative completion methods

    -

    Co-operation with working life and/or RDI

    Course has been produced in corporation with Osaango Oy. Lecturers on the videos are experts in data economy.

    Important dates

    -

    Internationality

    Kurssia tarjotaan yhteistyöoppilaitoksille ja sen sisältö on rakennettu sopimaan sekä EU-maihin että kansainvälisesti soveltuvaksi. (not translated)

    Students workload

    1 ECTS credits = 27 hours of work

    Content and scheduling

    Videos, quizzes and articles in four different modules.
    Module 1: Data economy in brief
    Module 2: Data sources and business models
    Module 3: Role of information in value creation
    Module 4: Next steps in data economy

    After this course, you will be able to:
    Explain why organizations need to apply data in decision making
    Explain where the data comes from and how it can be used (buying, selling, collecting data, big data from IoT, digital platforms and APIs, machine learning and AI vs. statistical methods)
    Identify the role of information in a value creation process
    Identify key business models enabled by digital data.
    List a few “no-code” ways of experimenting with data products to validate the business model
    Summarize how privacy regulations shape the data economy