• Statistics and Probability (TZVM6300-3020),
         01.01.2024 – 19.05.2024,  3 cr  (TAR22S1) — Face-to-face +-
    Learning outcomes of the course
    The goal of the course
    You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

    Course competences
    Knowledge and understanding (EUR-CE KN)

    Learning outcomes
    You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.
    Prerequisites and co-requisites
    Basic use of spreadsheets
    Course contents
    Descriptive statistics
    Fundamentals of probability theory
    Statistical distributions
    Linear regression and correlation
    Using Excel in applications
    Assessment criteria
    Assessment criteria - grade 1 and 2
    Adequate 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

    English

    Location and time

    Lextue/Exercise session 90min / week during weeks 3-14, Exam on week 15

    Planned learning activities, teaching methods and guidance

    Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

    Learning materials and recommended literature

    Material in Moodle
    Additional material:
    Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
    9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

    Lecturer(s)

    Ida Arhosalo

    Campus

    Main Campus

    Exam dates and re-exam possibilities

    The time of the Exam is informed on the first lesson.

    Timing

    01.01.2024 - 19.05.2024

    Learning assignments and student workload

    Lessons approx 20h, Homework and independent studying 60h

    Enrollment

    20.11.2023 - 04.01.2024

    Groups
    • TAR22S1
    Assessment methods

    Exam 80-90%
    Homework10-20%

    Degree Programme

    Bachelor's Degree Programme in Logistics, Bachelor's Degree Programme in Construction and Civil Engineering, Bachelor's Degree Programme in Electrical and Automation Engineering, Bachelor's Degree Programme in Energy and Environmental Technology, Bachelor's Degree Programme in Mechanical Engineering, Bachelor's Degree Programme in Information and Communications Technology, Bachelor's Degree Programme in Purchasing and Logistics Engineering

    Mode of delivery

    Face-to-face

    Credits
    • 3 cr
    Unit

    School of Technology