• Statistical Mathematics (TLXM3550-3001),
         01.01.2021 – 31.05.2021,  5 cr  (TLS19KM) — Face-to-face +-
    Learning outcomes of the course
    The students master the concepts and methods included in statistics and probability theory and they can apply them in solving working life related problems by using a computer. The students can handle statistical material and on the grounds of it they are able to estimate risks, make decisions and forecasts.
    Prerequisites and co-requisites
    The students can use the Excel program.
    Course contents
    Basics of mathematical statistics and probability theory; statistical decision making; estimation and tests of hypothesis ; regression analysis; time series analysis; use of computer programs.
    Assessment criteria
    Assessment criteria - grade 1 and 2
    Sufficient 1
    You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.
    Satisfactory 2
    You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.
    Assessment criteria - grade 3 and 4
    Good 3
    You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly.
    Very good 4
    You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.
    Assessment criteria - grade 5
    Excellent 5
    You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.
    Language of instruction

    Finnish

    Planned learning activities, teaching methods and guidance

    -lectures
    -exercises
    -self study
    -distance learning
    -learning tasks

    Lecturer(s)

    Ida Arhosalo

    Learning materials and recommended literature

    Kuvataan oppimisympäristössä. Haetaan opintojaksolta. (not translated)

    Lecturer(s)

    Pasi Lehtola

    Campus

    Main Campus

    Exam dates and re-exam possibilities

    The possible date and method of the exam will be announced in the course opening information and in the learning environment.

    Timing

    01.01.2021 - 31.05.2021

    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

    04.01.2021 - 12.01.2021

    Groups
    • TLS19KM
    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.

    Assessment methods

    Avoin AMK: no limits
    Campusonline: ?

    Degree Programme

    Bachelor's Degree Programme in Logistics

    Mode of delivery

    Face-to-face

    Credits
    • 5 cr
    Unit

    School of Technology