Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED C/D
Date of Decision: 2024-04-16
Effective: 2024-05-08
Main field: Technology
Depth of study relative to the degree requirements: First cycle, in-depth level of the course cannot be classified
Mandatory for: C3, D3
Elective for: E4-ks
Language of instruction: The course will be given in Swedish
The purpose of the course is to introduce methods to predict the real-time behaviour of service systems, especially for telecommunucation systems.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Judgement and approach
For a passing grade the student must
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.
Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: To pass, approved laboratory work and a passed exam are required. The final grade for the course is based on the results of the exam.
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.
Modules
Code: 0123. Name: Exam.
Credits: 3.0. Grading scale: TH - (U, 3, 4, 5).
Assessment: Approved exam
The module includes: Written exam
Code: 0223. Name: Laboratory Work.
Credits: 2.0. Grading scale: UG - (U, G).
Assessment: Approved laboratory work
The module includes: Laboratory work
Assumed prior knowledge:
FMS012/FMSF45/FMSF55 Mathematical Statistics. Knowledge corresponding to ETS130/EITA55 Communication Systems or ETS052/EITA45 Computer Communication. Basic knowledge in programming.
The number of participants is limited to: No
Kursen överlappar följande kurser:
ETS075
ETS010
ETS020
ETS055
EITF95
Course coordinator: Christian Nyberg,
christian.nyberg@eit.lth.se
Course homepage: www.eit.lth.se/course/eitg20