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DISCRETE EVENT SYSTEMS

CODE 66296
ACADEMIC YEAR 2022/2023
CREDITS
  • 12 cfu during the 3nd year of 8719 INGEGNERIA INFORMATICA (L-8) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    MODULES This unit is a module of:
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    The course presents the concepts and the basic methodological tools for the analysis of discrete event systems. This class of dynamic systems is characterized by discrete-valued state variables and by state transitions that are triggered by the occurrence of discrete events. The modeling and analysis of such systems have a great relevance in many applicative contexts.

     

    AIMS AND CONTENT

    LEARNING OUTCOMES

    The course has the objective of providing the necessary methodological tools for the representation of dynamic systems of different kinds (manufacturing systems, transportation systems, computer and service networks) as discrete event systems. Different classes of models will be presented (logical and timed, deterministic and stochastic) and techniques for structural and performance analysis will be discussed.

     

    AIMS AND LEARNING OUTCOMES

     

    At the end of the course, the student will be able to use the most important methodological tools to model and analyze the performances of technological systems of different kinds (manufacturing systems, transportattion and logistic systems, computer networks) represented as discrete-event dynamic systems. More specifically, the student will be able to select the most appropriate model for any specific case study and to analyze its performances, even in connection with the possible variation of the system parameters.

     

    PREREQUISITES

    Basic mathematical analysis and linear algebra tools. Basic concepts about random variables and stochastic processes.

    TEACHING METHODS

    Classroom lessons (including the solution of several exercises).

    SYLLABUS/CONTENT

    General introduction to discrete event systems. Logical and timed models. Discrete event simulation. Markov chains (discrete-time and continuous-time). Markovian queueing networks. Applications to manufacturing and logistic systems. Simple performance optimization problems.

     

    RECOMMENDED READING/BIBLIOGRAPHY

    The lecture notes will be made available to students. The notes will include several bibliographic references.

    TEACHERS AND EXAM BOARD

    LESSONS

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    Written + oral exam.

    ASSESSMENT METHODS

    The exam will test the capability of using the most interesting and effective approaches to represent and analyze discrete event systems.

    Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

    Exam schedule

    Date Time Location Type Notes