Optimization and Simulation (TLXM4580)

Optimization and Simulation, 5 cr - TLXM4580

Optimization and Simulation (TLXM4580-3007), 02.08.2021 – 31.08.2022,
5 cr (ZJA21ST, ...) — Online learning + -
Language of instruction

Finnish

Timing

02.08.2021 - 31.08.2022

Lecturer(s)

Pasi Lehtola

Planned learning activities, teaching methods and guidance

Itsenäinen verkko-opiskelu, joka perustuu arvioitaviin oppimistehtäviin ja loppukokeeseen. (not translated)

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. (not translated)

Campus

Main Campus

Exam dates and re-exam possibilities

Sovi opettajan kanssa. (not translated)

Learning assignments and student workload

Viiden opintopisteen kurssin laskennallinen kuormitus on 135 tuntia. (not translated)

Enrollment

02.08.2021 - 31.05.2022

Content scheduling

Omaan tahtiin (not translated)
Groups
- ZJA21ST
- LOGAKTIIVI
- ZJA22KT
Alternative learning methods

Kurssin voi suorittaa myös pelkällä näyttökokeella. (not translated)

Seats

0 - 30

Assessment methods

Avoin AMK: ei rajoituksia (not translated)

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

5 cr

Unit

School of Technology
Optimization and Simulation (TLXM4580-3010), 29.08.2022 – 21.12.2022,
5 cr (TLS20KM) — Face-to-face, Online learning + -
Language of instruction

Finnish

Timing

29.08.2022 - 21.12.2022

Lecturer(s)

Pasi Lehtola

Planned learning activities, teaching methods and guidance

The contact lessons are in a computer class and involve use of computers. The theory should be independently acquired before class exercises. The learning is accomplished by assignments where theory is put into practice.

Learning materials and recommended literature

Taylor, B. W. (2018) Introduction to Management Science. Pearson
Banks, Carson, Nelson & Nicol (2014). Discrete-Event System Simulation. Pearson.
Other material accessible in Moodle

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.

Learning assignments and student workload

Contact lessons about 30 hours
Independent study about 40 hours
Learning tasks about 50 hours
Preparing for exam about 10 hours

Enrollment

01.08.2022 - 25.08.2022
Groups
- TLS20KM
Alternative learning methods

The admission procedures are described in the degree rule and the study guide.

Seats

0 - 20

Assessment methods

The assessment is based on learning tasks and exams.

An equivalent course in Finnish TLXM4580 Optimointi ja simulointi.

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

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Face-to-face, Online learning

Share of virtual studies

2 cr

Unit

School of Technology

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.

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.

The student knows probability distributions and can use Excel.

0-5

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.

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.

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.

Optimization and Simulation, 5 cr - TLXM4580

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