ET2601 Quality of Experience in Network-based Services

Single subject course, 7,5 Higher education credits, Second cycle, autumn semester 2021


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Service providers and operators pay much attention to the area of Quality of Experience (QoE) in network-based services. Better services imply more satisfied customers, and can therefore contribute to higher incomes. Service providers use measurements of perceived quality and like to use positive results for marketing purposes, while negative results are used as input for service development. Given this background, the course aims at providing students with insights, practical and interpretation skills with regards to how a quality measurement and evaluation process is run, which network behaviors and parameters affect the perception of different types of services, how to develop and interpret QoE models, and in which ways the service provisioning can be improved under given circumstances and boundary conditions.


  • Type of instruction: Distance, mixed-time, part-time 50%
  • Application code: BTH-D5840
  • Period : 2021-November-01 until 2022-January-16
  • Education level: A1N
  • Application: Apply via
  • Language of instruction: The language of instruction is English.
  • Location: Some or all of education and examination is held at distance.
  • No. of occasions: Mandatory: none, Voluntary: none
  • Main field of study: Electrical Engineering
  • Course syllabus: Download
  • Welcome letter: Link to welcome letter from responsible teacher will be posted here no later than 3 weeks before the course begins.
  • Entry requirements: Admission to the course requires completed courses in Data Communication 7.5 credits and Mathematical Statistics 7.5 credits.


The course covers the following parts:
• Definitions and descriptions of Quality of Experience (QoE)
• QoE assessment methods and tools
• Impact of different types of network parameters on QoE in general, and on different applications
• Control options for QoE
• Measurements of user reactions and user ratings
• Analysis and modelling of user ratings and QoE
• Ethical rules for user experiments
• Overview of standardization within this area

Learning outcomes

Knowledge and understanding
Upon completion of the course, the student shall be able to
• explain the meanings of various QoE definitions
• describe the implementation of, and rules for user experiments
• explain relationships between QoE and network parameters for different types of applications
• describe QoE-related standardisation
Skills and abilities
Upon completion of the course, the student shall be able to
• plan and execute user experiments
• develop and validate QoE models
• present results and conclusions
Evaluation ability and approach
Upon completion of the course, the student shall be able to
• analyse and assess results of user experiments
• interpret QoE models
• describe possibilities how to improved QoE under given circumstances

Course literature and other teaching material

Material from the department.

Course literature and other teaching material

Material from the department.

Learning methods

The course is organised in lectures, exercises and project work.

Work placement

No work placement is included in the planned learning activities. BTH is aiming for a close contact with the surrounding community when developing courses and programmes.


  1. Markus Fiedler
Course Manager
  1. Markus Fiedler

Time allocation

On average, a student should study 200 hours to reach the learning outcomes.
This time includes all the various available learning activities (lectures, self studies, examinations, etc.).
This estimation is based on the fact that one academic year counts as 60 ECTS credits,
corresponding to an average student workload of 1 600 hours. This may vary individually.


Component examinations for the course
Code Title ECTS credits Grade
1805 Exam 3 A-F
1815 Project 4.5 A-F


The course will be graded A Excellent, B Very good, C Good, D Satisfactory, E Sufficient, FX Insufficient, supplementation required, F Fail.


More information about exams are found in the Student's Portal, where you also enrolls for most exams.

There might be other scheduled examinations. Information regarding these examinations are available in the learning platform Canvas or at other places that the person who is responsible of the course will refer to.

Course Evaluation

The course manager is responsible for the views of students on the course being systematically and regularly gathered and that the results of the evaluations in various forms affect the form and development of the course.

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