•   Intelligent Systems, Advanced 5G00ET59-3002 06.01.2020-03.05.2020  10 cr  (19TIETOB) +-
    Learning outcomes of the course unit
    The aim of the course is for students to work in a project group and learn intelligent system blocks from the sensor to the interface to build a smart system.
    Prerequisites and co-requisites
    Intelligent Systems
    Course contents
    During the course, students in the project group learn intelligent system blocks from the sensor via electronics to the interface to build the system itself.

    During the course, students implement an intelligent system that measures real-world phenomena with sensors. From the sensors, the information is exported through the telecommunication network and processors up to the user interface. The blocks in the system are reviewed in theory and built in practice.

    In addition, the student will learn about the effect of frequency on electrical circuits, capacitance, inductance and typical electronics components in theory and practice.
    Assessment criteria
    Satisfactory
    Student: - recognizes intelligent system blocks of from sensor electronics to software - Understanding how the intelligent system works - is able to control ready-to-use library functions in programming - knows different ways of measuring, programming methods and ways of building a telecommunication network, but can't justify their choices - Performs tasks in a pre-learned way - works in a group and reviews and evaluates things from its own perspective
    Good
    Student: - Understand smart system blocks -can interpret the measurement results -is able to build an intelligent system -can use ready-made library functions to transfer the sensor data in the system from the sensor through the processor to the server -has the ability to interpret measurement results, and mainly controls impedance calculations -can work in a group and give and receive feedback actively and constructively - reviews and evaluates.
    Excellent
    Student: - is able to apply what they have learned by developing blocks of intelligent systems -is able to compare and analyze intelligent system implementations -knows how to choose the most appropriate construction method and try out new operating models -can build independently from an intelligent system from sensor through electronics and software up to the interface -can interpret the measurement results and independently modify the measurement arrangement as needed -is able to program the functions it has developed to transfer the sensor data to the processor and further to the server - understands the importance of frequency in electronics and manages impedance calculation -can work in a group and give and receive feedback actively and constructively -reviews and evaluates itself as well as the group in which it works

    Name of lecturer(s)

    Esa Kunnari

    Language of instruction

    Finnish

    Timing

    06.01.2020 - 03.05.2020

    Registration

    25.11.2019 - 10.01.2020

    Credits

    10 cr

    Group(s)

    19TIETOB

    Teacher(s)

    Tiina Aaltonen, Esa Kunnari, Kari Naakka

    Unit, in charge

    Degree Programme in ICT Engineering

    Degree programme(s)

    Degree Programme in ICT Engineering

    Office

    TAMK Main Campus

    Evaluation scale

    0-5