Course syllabus

Kösystem Queuing System

EITF95, 4,5 credits, G2 (First Cycle)

Valid for: 2017/18
Decided by: PLED C/D
Date of Decision: 2017-04-03

General Information

Main field: Technology.
Compulsory for: C3, D3
Elective for: E4-ks
Language of instruction: The course will be given in Swedish

Aim

The purpose of the course is to introduce methods to predict the real-time behaviour of service systems, especially for telecommunucation systems.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

• Solve problems in elementary queuing theory and queuing network theory
• Use simple simulation tools

Competences and skills
For a passing grade the student must

• Use simple queuing models to estimate the real-time properties of a system
• Use discrete event simulation to study the performance of a system
• Be able to interpret measurements and make estimations

Judgement and approach
For a passing grade the student must

• Show ability to critically interpret resluts from calculations and simulations
• Show knowledge of limitations of mathemactical models of queuing systems

Contents

The course treats real-time properties of communication systems. The students learn to predict the performance of systems, which also gives the ability to improve and optimise systems.

The course contains an overview of elementary queuing and queuing network theory and also introduces discrete event simulation. In queuing theory methods to calculate the average time a customer spends in a queue and the blocking probability are treated. In queuing network theory Jackson networks are studied. Discrete event simulation using a general programming language is studied.

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Written examination. Laboratory Lesson.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Parts
Code: 0117. Name: Examination.
Credits: 3. Grading scale: TH. Assessment: Written exam. Contents: Written exam
Code: 0217. Name: Laboratory Work.
Credits: 1,5. Grading scale: UG. Assessment: Laboratory work. Contents: Laboratory work.

Required prior knowledge: FMS012 Mathematical statistics. Knowledge corresponding to Communication Systems (ETS130) or Computer Communication (ETS052).
The number of participants is limited to: No
The course overlaps following course/s: ETS010, ETS020, ETS055, ETS075