Academic year2016/17
CourseTELECOMMUNICATIONS ENGINEERING
Code290II
Credits9
PeriodSemester 2
LanguageItalian
| Modules | Area | Type | Hours | Teacher(s) |
| INGEGNERIA DEL TELETRAFFICO | ING-INF/03 | LEZIONI | 80 | |
| LABORATORIO INFORMATICO DI INGEGNERIA DEL TELETRAFFICO | NN | LABORATORI | 10 | | ROSARIO GIUSEPPE GARROPPO unimap |
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Knowledge
The students who successfully completes the course will obtain the ability to build up their own abstraction of discrrete state systems employing continuous time and discrete time Markov processes for its analysis; these students will be able to demonstrate a solid knowledge on Markov processes, Queueing Systems; will be able to demonstrate advanced knowledge on Queueing Networks and Non Markovian Queues which admit Markovian tractability; the students will be aware of the limits and specific constraints that correspond to Markovian models. They will also obtain through exercise lectures and Matlab/Labs lectures the capacity to verify the realism of Markovian abstraction modeling real systems adopting if necessary numerical tools.
The students will be able to evaluate the transient and steady state behaviour of discrete time and continuos time markov chains; they will be able to verify if a chain is ergodic; they will be able to analyse the general class of Markovian queues/networks
Assessment criteria of knowledge
The student will be assessed on his/her demonstrated ability to discuss the main course contents using the appropriate terminology.
During the oral exam the student must be able to demonstrate his/her knowledge of the course material and be able to discuss the studied material with propriety of expression.
The student's ability to explain correctly the main topics presented during the course at the board will be assessed.
In the written exam (3 hours), the student must demonstrate his/her knowledge of the course material and to organise an effective and correctly written reply.
Methods:
- Final oral exam
- Final written exam
- Periodic written tests
- Laboratory practical
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- preparation of oral/written report
Attendance: Mandatory
Teaching methods:
- Lectures
- Task-based learning/problem-based learning/inquiry-based learning
- laboratory
Syllabus
The course gives the fundamentals concepts related to Teletraffic Theory and its application to network engineering. The aim of the course is to give the students the capacity of building up and analyse their own abstraction of basic functions related to telecommunication networks or discrete state stochastic systems in general. Transient and Steady-state analysis of Discrete and Continuous Time Markov processes are introduced. Fundamentals concept related to Queueing theory and their application to circuit and packet switching networks are presented. The analysis of fundamental performance indexes is carried out, when necessary, by means of the transforms theory (e.g. Laplace, Zeta). The fundamental theorems related to the tractability of open and closed Queueing Networks are also presented.
Bibliography
Bolch, Greiner, De Meer, Trivedi “Queueing Networks and Markov Chains” Wiley
Interscience 1998
The teaching material for the exercises is provided directly on Moodle by
Gregorio Procissi
“ESERCIZI DI INGEGNERIA DEL TELETRAFFICO”
The teaching material for the MATLAB lecturers is provided directly on Moodle by
Rosario G. Garroppo
Exercise and MATLAB Lectures
“APPUNTI SU SOLUZIONI NUMERICHE DI PROBLEMI DI INGEGNERIA DEL
TELETRAFFICO”
Work placement
Companies or research labs were a specific skill on Markov Models is required
Updated: 14/11/2016 17:27
