Lectures are recorded and provided for a later reviews. Participation to lectures is not mandatory but the course will be only as good as students make it with their active participation.

The schedule is tentative.

Week Day (Wed)
 Lecture (8-10) Lecture (10-12) Who
36 2023-09-06 Introduction – for the course (video)
 Introduction – Why to measure(video) MP
37 2023-09-13 IP networks and how to measure them (video includes both sessions)
 Active measurements (video jump to start of topic)
 MP
38 2023-09-20 Passive measurements (video includes both sessions)
 Concluding results, Application Quality needs (video jump to start of topic)
 MP
39 2023-09-27 Data analysis (video includes both sessions) Sampling and experimental design EH
40 2023-10-04 Probability models and measurements (video)
 Stochastic processes in network measurements (video) EH
41 2023-10-11 Legal aspects of network measurements (video)
 Overflow and open discussion about the course topics. Cancelled because of low interest.
 MP/N.N.

There are weekly mandatory sessions. There will be 3-4 two-hour sessions from where you can select the one best suitable for you. Group selection will be opened after introduction lecture.

.

Session Topic Deadline
Thu, 2023-09-14 A1: Basic Programming and Processing Data​ 2023-09-27
Thu, 2023-09-21 A2: Basic Measurements​ 2023-10-04
Thu, 2023-09-28 A3: User traffic​ 2023-10-11
Mon, 2023-10-02 Q&A
Thu, 2023-10-05 A4: Traffic with probe packets​ 2023-10-25
Mon, 2023-10-09 Final assignment intro. (intro video)
(16-18; Zoom and classroom)		 2023-12-04
Thu, 2023-10-12 A5: Data Analysis 2023-10-25

(evaluation week)
Thu, 2023-10-26 A6: Distributions and sampling​ 2023-11-08
Mon, 2023-10-30 A7: Sampling​ 2023-11-12
Thu, 2023-11-09 A8: Machine Learning (optional session)​ 2023-11-22
Thu 2023-11-23
FA review sessions (classroom & Zoom)
  
Thu 2023-11-24
FA review sessions (Zoom only)
  
Mon 2023-11-27
 FA review sessions (classroom & Zoom)  


Last modified: Wednesday, 22 November 2023, 3:18 PM