Fall 2006, Tampere University of Technology, Tampere, Finland.
Lecturer: D. Moltchanov, e-mail: firstname.lastname@example.org
- consists of 2 parts;
- part 1: simulations: some examples:
- example 1: what is the basis of linear congruental generator?
- example 2: what is the basis of control variates variance reduction technique?
- example 3: what methods of data collection techniques exist?
- example 4: how confidence intervals shorten with increase in the number of experiments?
- example 5: explain two methods to organize event list.
- part 2: traffic modeling: some examples:
- example 1: are there daily variations in traffic patterns in circuit-switched networks?
- example 2: what is the traffic measurement unit of the traffic in circuit-switched networks?
- example 3: what is the time-consistent busy hour?
- example 4: why we need traffic measurements?
- example 5: what are the steps in traffic modeling?
- example 6: are packet sizes in the Internet bimodally distributed? Why?
- example 7: how ACF of long-range dependent traffic observations behaves?
- note the following:
- no complicated numerical calculations
- you have to demonstrate understanding
- some questions are more important than others
- reminder: make sure you are signed for exam!
- no lecture on 06.09.2006;
- first meeting is scheduled on 30.08.2006;
- lectures are given every Wednesday, room TB222, 16:15-17:45;
It is not required for participants to have knowledge of probability theory and
stochastic process and statistics. Basic knowledge of these disciplines that is
necessary to understand the course will be given.