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Internet traffic measurements and analysis

Individual course

Max amount of FITech students: 5

Persons without a valid study right to a Finnish university have preference to this course.

Internet Traffic Measurements are an important tool from developing new communication standards to diagnosing any problems in networks in-use. Analysing big data volumes is only possible with proper tools. At this course you will learn everything needed from performing network measurements to analysing and making conclusions.

This course introduces different ways of measuring Internet traffic and provides an overview on tools that can be utilised to analyse the results. Course topics include packet, flow and routing related measurements and their analysis. Also related technical and legal issues are covered.

Exercises include measurement data processing and analysis using statistical/mathematical software. In the assignment, data traffic measurements are performed, analysed and reported.

After the course the students

  • are able to measure and analyse basic properties of network traffic and draw conclusions on the results.
  • have obtained skills to apply and evaluate statistical methods in processing, analysing and presenting the measurement data.
  • have gained an understanding of the technical and legal issues related to network measurements and become familiar with the related methods and software tools.

The lecture material will be available online.

Completion methods

Weekly assignments with participation and final assignment.

More information on the Aalto University course page.

You can get a digital badge after completing this course.

Responsible teacher

Aalto University
Markus Peuhkuri

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
Application period has ended
Application period has ended
5G technology
Course code:
Study credits:
0 €
Course level:
Teaching period:
Application deadline:
Application period has ended
Host university:
Aalto University
Who can apply:
Adult learner,
Degree student
Teaching method:
Teaching language:
General prerequisites:
Basic probability theory and statistics and basics on internet technology. Basic knowledge of programming and Linux systems very benefetical.
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