• Logistics Information Technology (TLTT6500-3005),
         09.01.2023 – 19.05.2023,  5 cr  (TLS21S1) — Face-to-face +-
    Learning outcomes of the course
    The objective of the course
    Management and development of supply chains and logistics processes demands the utilization of data collection and processing of data. As a logistics professional you need to understand how data can be gathered automatically and analyzed with information systems. In this course you’ll also learn how these technologies create competitive advantage.

    Course Competences
    This course develops and assesses the following competences: Technology, Knowledge and understanding, Investigation and information retrieval and Communication and team work.

    The learning objectives of the course
    Student knows the most common automatic data gathering methods in logistics, understands how they work and how companies benefit from them. Student knows what kind of information systems companies utilize and understands how they can bring competitive advantage. Student can also conduct a research and present the findings in a compact manner.
    Prerequisites and co-requisites
    - Logistiikan maailma
    Course contents
    In this course you'll study
    - Identification technologies
    - Intelligent Transport Systems and Fleet management
    - Strategic Information Systems
    Assessment criteria
    Assessment criteria, passed/failed
    Technology and Knowledge and understanding: Student can describe the working methods of automatic data gathering technologies utilized especially in logistics and can compare RFID and bar code systems through their strengths and weaknesses. Student knows how positioning systems work and are utilized for logistics processes. Student understands what Intelligent transport systems is and how it affects road transport. Student can describe how the most common information systems are utilized and what kind of benefits and competitive advantage they can bring.

    Investigation and information retrieval: Student can form a research question related to the scope of the course, conduct a comprehensive research within given timeframe and present the findings in a compact manner.

    Communication and team work: Student can give constructive feedback to others and can take part in a conversation.
    Language of instruction

    English

    Planned learning activities, teaching methods and guidance

    Course contains lectures (30 h), lab exercises, group assignments and group learning tasks.

    Lecturer(s)

    Juha Pesonen

    Lecturer(s)

    Juha Pesonen

    Working life cooperation

    -Virtual excursions

    Campus

    Main Campus

    Exam dates and re-exam possibilities

    Exam is held in the end of the course.

    Timing

    09.01.2023 - 19.05.2023

    Learning assignments and student workload

    One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.

    Enrollment

    01.11.2022 - 05.01.2023

    Groups
    • TLS21S1
    Alternative learning methods

    The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

    Seats

    0 - 55

    Assessment methods

    Avoin AMK: no limits

    Degree Programme

    Bachelor's Degree Programme in Logistics

    Mode of delivery

    Face-to-face

    Credits
    • 5 cr
    Unit

    School of Technology