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Optimization and Simulation (5 cr)

Code: TLXM4580-3009

General information


Enrollment

02.08.2021 - 05.09.2021

Timing

30.08.2021 - 17.12.2021

Number of ECTS credits allocated

5 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages

  • Finnish

Seats

0 - 55

Degree programmes

  • Bachelor's Degree Programme in Logistics

Teachers

  • Pasi Lehtola

Teacher in charge

Pasi Lehtola

Groups

  • TLS19S1
    Bachelor's Degree Programme in Logistics

Objectives

The students master concepts and methods included in optimization and simulation. The students can formulate a problem arising from working life in the form of an optimization task or simulation study and they can solve the problem by using a computer.

Content

Linear and non-linear multivariable optimization task; basics of network theory; optimization task in networks; phases of simulation study; basics and use of queue formation; analysis of input and output data; use of computer programs.

Learning materials and recommended literature

Niemi, A. (1998) Johdatus optimointiin ja verkkomalleihin. Moniste
Lähdevaara, H. (2007) Johdatus tapahtumapohjaiseen simulointiin. Moniste
Taylor, B. W. (2018) Introduction to Management Science. Pearson
Banks, Carson, Nelson & Nicol (2014). Discrete-Event System Simulation. Pearson.

Teaching methods

Contact lessons and exercises
Self study
Learning tasks

Exam dates and retake possibilities

Tentin ajankohta ja suoritustapa ilmoitetaan opintojakson alussa.

Alternative completion methods

Hyväksilukemisen menettelytavat kuvataan tutkintosäännössä ja opinto-oppaassa.

Student workload

Kontaktitunnit noin 30 tuntia
Itsenäinen opiskelu noin 40 tuntia
Oppimistehtävät noin 50 tuntia
Kokeeseen valmistautuminen noin 10 tuntia

Further information for students

Osaamisen arviointi perustuu oppimistehtäviin ja kokeeseen.

Korvaava englanninkielinen toteutus TEEN6550 Optimization and Simulation.

Avoin AMK: enintään 5 opiskelijaa, jos luokassa on tilaa.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Sufficient 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.

Evaluation criteria, good (3-4)

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.

Evaluation criteria, excellent (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.

Prerequisites

The student knows probability distributions and can use Excel.