CODE 66296 ACADEMIC YEAR 2024/2025 CREDITS 6 cfu anno 3 INGEGNERIA INFORMATICA 8719 (L-8) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04 LANGUAGE Italian TEACHING LOCATION GENOVA SEMESTER 1° Semester MODULES Questo insegnamento è un modulo di: MODELS AND TOOLS FOR AUTOMATION AND CONTROL 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 possible variations 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 RICCARDO MINCIARDI Ricevimento: It is possible to meet the professor, on request, at different times. Exam Board MICHELE AICARDI (President) ENRICO SIMETTI RICCARDO MINCIARDI (President Substitute) GIULIO FERRO (Substitute) LESSONS LESSONS START https://corsi.unige.it/8719/p/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Written + oral exam. ASSESSMENT METHODS The exam will test the capability of using the most interesting and effective approaches to analyze discrete event systems. In particular, the capability to select the most appropriate model will be evaluated, given the objectives of the analysis and the complexity of the system to be represented. 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 Data appello Orario Luogo Degree type Note 09/01/2025 10:00 GENOVA Scritto 11/02/2025 10:00 GENOVA Scritto 13/06/2025 10:00 GENOVA Scritto 07/07/2025 10:00 GENOVA Scritto 04/09/2025 10:00 GENOVA Scritto