ELEC-E7130 - Internet Traffic Measurements and Analysis, Lecture, 6.9.2023-4.12.2023

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After the course the students are able to measure and analyze basic properties of network traffic and draw conclusions on the results. They obtain skills to apply and evaluate statistical methods in processing, analyzing and presenting the measurement data. Students gain understanding of the technical and legal issues related to network measurements and become familiar with the related methods and software tools.

Credits: 5

Schedule: 06.09.2023 - 04.12.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Markus Peuhkuri

Contact information for the course (applies in this implementation):

The responsible teacher is Markus Peuhkuri, best reached by email via Markus.Peuhkuri@aalto.fi.

For questions with more general interest the best place to ask questions is via Zulip instance (link provided later) which is also the main channel for assignment  help.

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    This course introduces different ways of measuring Internet traffic and provides an overview on tools that can be utilized to analyze 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.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Compulsory: Examination, assignment(s), exercises.

  • applies in this implementation

    The course has 8 mandatory weekly assignments and the final assignment. The weight of weekly assignments is 40 % and the final assignment weight is 60 % towards the final grade. Minimum 50% of points for each assignments is required for a passing grade.

    Attendance to exercise sessions, including final assignment pre-submit review session is mandatory. Absences can be covered with an additional written report if no valid cause exists (e.g. medical reason: do NOT send any health information to course staff, it will be taken care by study office).


Workload

  • valid for whole curriculum period:

    Contact hrs 37 h
    Independent learning (incl. assignment): 96 hours

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I - II
    2023-2024 Autumn I - II

    Enrollment :

    Registration for Courses on Sisu (sisu.aalto.fi).

Details on the schedule

  • applies in this implementation

    The course starts with weekly lectures on the first period.

    The weekly assignments are introduced weekly and have a deadline three weeks later. (subject to fine-tuning).

    Final assignment deadline is early December and there is a mandatory review session late November.

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof