•   AI programming IT23ABC01-3001 27.01.2025-27.04.2025  5 credits  (ITE23D-V) +-
    Competence objectives of the study unit
    The goal is to learn how to program real-time systems, and understand machine learning
    Prerequisites
    All year 3 courses
    Content of the study unit
    -Node.js
    - Azure ML and Stream Analytics
    - Tensorflow.js
    Assessment criteria
    Assessment criteria – satisfactory (1-2)
    At least 10p/30p
    Assessment criteria – good (3-4)
    At least 18p/30p
    Assessment criteria – excellent (5)
    At least 26p/30p
    Name of lecturer(s)

    Kaj Wikman

    Learning material

    Moodle

    Learning methods

    The course is based on lectures, self-study and exercises in a classroom environment. The labs are compulsory.

    Objects, timing and methods of assessment

    Of the marks of the examination questions, you must obtain at least 33% in order to obtain a grade in the course, irrespective of the total score of the exams. 33% for pass, per exam. In total, 33% is applied for approved and linear scale.

    Teaching language

    English

    Timing

    27.01.2025 - 27.04.2025

    Enrollment date range

    01.12.2024 - 26.01.2025

    Group(s)
    • ITE23D-V
    Responsible unit

    Faculty of Technology and Seafaring

    Teachers and responsibilities

    Kaj Wikman

    Degree Programme(s)

    Degree Programme in Information Technology, Degree Programme in Information Technology

    Campus

    Vasa, Wolffskavägen 33

    RDI share

    0.00 credits

    Share of online studies

    0.00 credits

    Assessment scale

    H-5

    Exam dates and retake possibilities

    Spring

    Timing and attendance

    Spring, Vasa

    Student's schedule and workload

    About 50% attendance studies and about 50% self-study.

    Assessment criteria
    Assessment criteria – satisfactory (1-2)

    At least 10p/30p

    Assessment criteria – good (3-4)

    At least 18p/30p

    Assessment criteria – excellent (5)

    At least 26p/30p