Topic outline

  • Schedule

    Lectures

    Week Date 8-10 10-12 Who
    36 07.09.22 Introduction for the course (video)
    		 Introduction - Why to measure (video)
    		 MP
    37 14.09.22 On-campus lecture cancelled.
    IP networks and how to measure them (video from 2021)
    		 On-campus lecture cancelled.
    Active measurements (video in same as 8-10 lecture)
    		 MP
    38 21.09.22 Passive measurements (video)
    		 Concluding results, Application Quality needs (video)
    		 MP
    39 28.09.22 Data analysis Sampling and experimental design SA
    40 05.10.22 Probability models and measurements Stochastic processes in network measurements SA
    41 12.10.22 Legal aspects of network measurements (video)
    		 Visiting lecture: Mobility Insights from Network Data (video)
    Tapio Levä,
    Head of Data & AI Business, Telia
    		 MP

    Passcode for Zoom sessions is 71302022 (4-digit course code + year).

    Key:  "zoom" indicate hybrid participation, "rec" that recording will be made available.

    Assignments

    Week Date / intro Date / deadline Topic
    37 15.09.22 28.09.22 A1: Basic Programming and Processing Data​ (introduction video)
    38 22.09.22 05.10.22 A2: Basic Measurements​ (introduction video)
    older intro video, might help some
    39 29.09.22 19.10.22 A3: User traffic​ (capture tutorial video)
    40 06.10.22 26.10.22 A4: Traffic with probe packets​
    41 13.10.22 26.10.22 A5: Data Analysis
    42


    43 Mon 24.10.22
    		FA: Introduction (video), Q&A
    43 27.10.22 09.11.22 A6: Distributions and sampling​
    44 Mon 31.10.22 16.11.22 A7: Sampling​
    45 10.11.22 23.11.22 A8: Machine Learning​
    46 17.11.22
    		A7 return and Q&A
    47 Mon
    21.11.22
    		A7 return and Q&A (Zoom only; replacement for the previous Thursday, not mandatory)
    47 24.11.22
    		A8 return and Q&A
    48 Mon
    28.11.22
    		FA: Reviews

    The in-person exercise sessions are held in the classroom Y342a in Otakaari 1. Mandatory sessions with bold.

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Materials