• Probability and Statistics (TEXM3580-3001),
         01.09.2020 – 31.12.2020,  5 cr  (TLE19S1) — Face-to-face +-
    Learning outcomes of the course
    The students identify statistical and stochastic ideas, concepts and methods and can apply them to solve work-oriented problems using a computer. The students are able to draw conclusions, estimate risk and calculate reliability based on statistical data.
    EUR-ACE Knowledge and Understanding: Students must know and understand the statistical principles, concepts and methods underlying logistics.
    EUR-ACE Engineering Analysis: Students must have the ability to identify, formulate and solve engineering problems using statistical methods.
    EUR-ACE Investigations: Students must have the ability to apply data bases and to design and conduct appropriate experiments, interpret the data and draw conclusions.
    TELNA: Students are able to use mathematics and statistics in a technical environment.
    Prerequisites and co-requisites
    Algebra and Geometry, and Calculus
    Course contents
    Elements of probability and statistics, probability distributions, confidence level estimation and hypotheses testing, regression analysis, reliability calculations. The use of mathematical computer programs.
    Assessment criteria
    Assessment criteria - grade 1 and 2
    Excellent (5): Student has attained an excellent level of course objectives and can apply them into practice in innovative manner.
    Very good (4): Student has attained very good level of course objectives and can apply them into practice.
    Good (3): Student has gained understanding of course objectives and can utilize them in practice.
    Satisfactory (2): Student has gained knowledge of course objectives and can utilize them partly in practice.
    Sufficient (1): Student has gained knowledge of course objectives but face challenges to utilize them in practice.
    Language of instruction

    English

    Location and time

    Lessons are on weeks 37 - 50
    1,5 h in computer lab
    typically 2 times per week (not translated)

    Lecturer(s)

    Ida Arhosalo

    Learning materials and recommended literature

    Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers

    Lecturer(s)

    Ida Arhosalo

    Campus

    Main Campus

    Timing

    01.09.2020 - 31.12.2020

    Learning assignments and student workload

    - Lectures 40–60 h - Independent study 60–90 h - Exams 2 h Total 100–150 h

    Enrollment

    31.08.2020 - 06.09.2020

    Groups
    • TLE19S1
    Alternative learning methods

    - Exams 80–90 % - Exercises or assignments 10–20 %

    Assessment methods

    Alternative Finnish implementation: Tilastomatematiikka, TLXM3580 (not translated)

    Degree Programme

    Bachelor's Degree Programme in International Logistics

    Mode of delivery

    Face-to-face

    Credits
    • 5 cr
    Unit

    School of Technology