First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
ICT FOR INTERNET AND MULTIMEDIA
Course unit
NETWORK MODELING
INP3049939, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
ICT FOR INTERNET AND MULTIMEDIA
IN2371, Degree course structure A.Y. 2017/18, A.Y. 2017/18
N0
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Degree course track Common track
Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination NETWORK MODELING
Department of reference Department of Information Engineering
E-Learning website https://elearning.dei.unipd.it/course/view.php?idnumber=2017-IN2371-000ZZ-2017-INP3049939-N0
Mandatory attendance No
Language of instruction English
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge MICHELE ZORZI ING-INF/03

Mutuated
Course unit code Course unit name Teacher in charge Degree course code
INP3049939 NETWORK MODELING MICHELE ZORZI IN0521

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/03 Telecommunications 9.0

Mode of delivery (when and how)
Period Second semester
Year 1st Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours of
Individual study
Shifts
Lecture 9.0 72 153.0 No turn

Calendar
Start of activities 26/02/2018
End of activities 01/06/2018

Examination board
Board From To Members of the board
1 A.A. 2017/2018 01/10/2017 15/03/2019 ZORZI MICHELE (Presidente)
ZANELLA ANDREA (Membro Effettivo)
BADIA LEONARDO (Supplente)
CALVAGNO GIANCARLO (Supplente)
CORVAJA ROBERTO (Supplente)
ERSEGHE TOMASO (Supplente)
LAURENTI NICOLA (Supplente)
MILANI SIMONE (Supplente)
ROSSI MICHELE (Supplente)
TOMASIN STEFANO (Supplente)
VANGELISTA LORENZO (Supplente)
ZANUTTIGH PIETRO (Supplente)

Syllabus
Prerequisites: probability theory; basic networking
Target skills and knowledge: Knowledge of the main mathematical tools and modeling techniques for the study of telecommunication networks and networking protocols. Knowledge of the theoretical basics of Markov chains, renewal processes, queueing theory and traffic models, and their applications.
Examination methods: written test and oral exam
Assessment criteria: - ability to solve modeling exercises and performance analysis
- learning basic theoretical concepts and ability to use them for reasoning and extensions
Course unit contents: Probability theory review; Markov chains, their limiting behavior; Poisson processes; renewal processes; applications and examples.
Planned learning activities and teaching methods: 72 hours of lectures, with exercises
Additional notes about suggested reading: recommended books
notes from the lectures
scientific papers
Textbooks (and optional supplementary readings)
  • S. Karlin, H. Taylor, A first course on stochastic processes vol. 1. --: Academic Press, --. Cerca nel catalogo
  • H. Taylor, S. Karlin, An introduction to stochastic modeling. --: Academic Press, 1998. 3rd edition Cerca nel catalogo