Curricula

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

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

Teaching methods

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.

Exam dates and retake possibilities

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

Alternative completion methods

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

Student workload

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

Further information for students

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

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.