Optimization and Simulation (5 cr)

Evaluation scale

0-5

Objective

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.

Content

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.

Materials

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

Teaching methods

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

Exam schedules

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

Completion alternatives

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

Assessment criteria, satisfactory (1)

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, good (3)

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, excellent (5)

Excellent (5): Student has attained an excellent level of course objectives and can apply them into practice in innovative manner.

Qualifications

The students know probability distributions and can work with computer programs Excel and Mathcad

Further information

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

Exchange students: