• Physics for Logistics (TZLF7300-3011),
         01.05.2023 – 31.08.2023,  3 cr  (LOGRAKVERKKO) — Online learning +-
    Learning outcomes of the course
    The object of the course

    You will learn the basic concepts of fluid statics and how to apply mathematical methods of mechanics to logistical processes. You will also learn logical thinking and problem solving strategies.

    Course competences (Eur-ACE)

    EA-KW: You will obtain the basic knowledge and understanding of the concepts of fluid statics.
    EA-EC: You will be able to apply engineering to practice.

    The learning objectives of the course

    After completing this course you are able to identify the basic principles of fluid statics and the mathematical methods of mechanics on logistical processes.
    Prerequisites and co-requisites
    Basic knowledge of mechanics and elementary functions and ability to solve simple equations is required.
    Course contents
    Fluid statics: Hydraulic lift, hydrostatic pressure, Archimedes' principle and buoyant force.
    Logistic processes: f.ex. center of mass of the load, cargo securing, stress of lifting accessories and warehouse shelves.
    Assessment criteria
    Assessment criteria - grade 1 and 2
    Sufficient 1
    You are able to recognize phenomena and the models attached to the field of the course.
    You can solve simple course related problems. You can read different kinds of tables and graphs to get the right information. Your calculations may have some mistakes.

    Satisfactory 2
    You are able to understand phenomena and the models attached to the field of the course.
    You can solve basic problems with the help of examples. You can read different kinds of tables and graphs to get the right information. Your calculations may have some mistakes.
    Assessment criteria - grade 3 and 4
    Good 3
    You are able to understand phenomena and the models attached to the field of the course.
    You can solve basic problems. You can read different kinds of tables and graphs and you are also able to produce them yourself. Your calculations may have some mistakes.

    Very good 4
    You are able to understand phenomena and the models attached to the field of the course.
    You can solve challenging problems. You can read different kinds of tables and graphs and you are able to produce them yourself. You are also able to evaluate the assumptions and applicabilities of the models you are using. Your calculations are mainly right.
    Assessment criteria - grade 5
    Excellent 5
    You are able to understand phenomena and the models attached to the field of the course.
    You can solve challenging problems. You can read different kinds of tables and graphs and you are able to make make them yourself. You are also able to evaluate the assumptions and applicabilities of the models you are using. You can apply your knowledge to new situations. Your calculations are right but may have some careless errors.
    Language of instruction

    English

    Planned learning activities, teaching methods and guidance

    -distance learning
    -exercises

    Lecturer(s)

    Pertti Ahonen

    Learning materials and recommended literature

    Knight, Randal D. Physics for Scientists and Engineers. Pearson International edition. 2nd edition.

    Lecturer(s)

    Pertti Ahonen

    Campus

    Main Campus

    Exam dates and re-exam possibilities

    The dates and methods of the exams will be announced on Moodle.

    Timing

    01.05.2023 - 31.08.2023

    Learning assignments and student workload

    One credit corresponds to an average of 27 hours of work, which means that this course needs approximately 81 hours hours of work.

    Enrollment

    01.04.2023 - 30.04.2023

    Groups
    • LOGRAKVERKKO
    Assessment methods

    Assessment criteria: points from exercises and the exam

    Degree Programme

    Bachelor's Degree Programme in Purchasing and Logistics Engineering

    Mode of delivery

    Online learning

    Share of virtual studies

    3 cr

    Credits
    • 3 cr
    Unit

    School of Technology