•     Statistical Mathematics LTH6061-3001 09.01.2023-12.03.2023  3 cr  (LTHNS20) +-
    Learning objectives
    -
    Starting level and linkage with other courses
    - (not translated)
    Contents
    -

    Teaching methods and instruction

    Luennot ja harjoitustyöt (not translated)

    Responsible person

    Jani Kangas

    Learning material and recommended literature

    Material to be distributed at lectures

    Mode of delivery

    Contact teaching

    Campus

    Wärtsilä Campus Karjalankatu 3

    Teaching language

    Finnish

    Timing

    09.01.2023 - 12.03.2023

    Students workload

    Lectures 36 h Practical work 25 h Independent work 15 h Lecture and feedback 5 h

    Enrollment

    01.10.2022 - 31.10.2022

    Groups
    • LTHNS20
    Alternative learning methods

    Exam

    Assessment criteria

    Assessment is based on the final exam.

    Teachers

    Jani Kangas

    Seats

    20 - 35

    Degree Programmes

    Degree Programme in Building Services Engineering

    Evaluation scale

    H-5

    Assessment criteria
    Assessment criteria - grade 1

    Students will be able to use key/individual concepts in statistical mathematics and demonstrate a basic knowledge of the domain. The student can act appropriately when solving simple problems in statistical mathematics, although the action may be fumbling. The student will be able to follow instructions and solve basic problems in statistical mathematics.

    Assessment criteria - grade 3

    Students will be able to consistently use the concepts of statistical mathematics and demonstrate mastery of the basic knowledge of the domain. Students will be able to select appropriate ways of modelling simple economic problems. They can solve basic problems in statistical mathematics and can assess their own competence. Students can apply their knowledge in basic tasks.

    Assessment criteria - grade 5

    Students can use statistical terms and concepts in a competent way and combine them into coherent entities. Students will be able to model simple statistical problems, solve them and evaluate the correctness of the solutions. Students will be able to apply their knowledge of statistical mathematics to a variety of tasks and situations.