• Optimization and Simulation (TEEN6550-3001),
         07.09.2020 – 19.12.2020,  5 cr  (TLP20VS, ...) — Face-to-face, Online learning +-
    Learning outcomes of the course
    The students know the concepts and methods of optimization and simulation. They are able to formulate a working-life problem as an optimization task or a simulation study and solve the problem using a computer.
    EUR-ACE Knowledge and Understanding: Students must know and understand the mathematical principles, concepts and methods underlying logistics.
    EUR-ACE Engineering Analysis: Students must have the ability to identify, formulate and solve engineering problems using mathematical methods.
    TELNA: Students are able to use mathematics in a technical environment.
    Prerequisites and co-requisites
    The students know probability distributions and can work with computer programs Excel and Mathcad
    Course contents
    Linear and non-linear optimization, elements of graph theory, optimization in networks, simulation studies, elements of queuing theory, input and output data analysis. The use of Excel, Mathcad and other computer programs for optimization and simulation.
    Assessment criteria
    Assessment criteria - grade 1 and 2
    Sufficient (1): Student has gained knowledge of course objectives but face challenges to utilize them in practice.

    Satisfactory (2): Student has gained knowledge of course objectives and can utilize them partly in practice.
    Assessment criteria - grade 3 and 4
    Good (3): Student has gained understanding of course objectives and can utilize them in practice.

    Very good (4): Student has attained very good level of course objectives and can apply them into practice.
    Assessment criteria - grade 5
    Excellent (5): Student has attained an excellent level of course objectives and can apply them into practice in innovative manner.
    Language of instruction

    English

    Planned learning activities, teaching methods and guidance

    Contact lessons and exercises
    Self study
    Learning tasks

    Lecturer(s)

    Pasi Lehtola

    Learning materials and recommended literature

    Will be described in the learning environment following the course description.

    Lecturer(s)

    Pasi Lehtola

    Campus

    Main Campus

    Exam dates and re-exam possibilities

    The date and execution of the exam will be announced in the beginning of the course.

    Timing

    07.09.2020 - 19.12.2020

    Learning assignments and student workload

    Contact lessons 36 hours
    Independent study 36 hours
    Learning tasks 36 hours
    Preparing for exam 12 hours

    Enrollment

    03.08.2020 - 30.08.2020

    Groups
    • TLP20VS
    • TLE18S1
    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.

    Small groups
    • Ryhmä 1 (: 30. : 0.)
    Seats

    0 - 30

    Assessment methods

    Open AMK: at most 5 students if there are seats in the classroom

    Degree Programme

    Bachelor's Degree Programme in International Logistics

    Mode of delivery

    Face-to-face, Online learning

    Share of virtual studies

    1 cr

    Credits
    • 5 cr
    Unit

    School of Technology