Study programme 2020-2021Français
Discrete Event Systems
Programme component of Master's in Electrical Engineering : Specialist Focus on Signals, Systems and BioEngineering à la Faculty of Engineering

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
UI-M2-IRELBS-005-MCompulsory UEGOSSELIN BernardF105 - Information, Signal et Intelligence artificielle
  • DEWASME Laurent
  • GOSSELIN Bernard

of instruction
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais142200033.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-ISIA-100Discrete Event Systems1422000Q1100.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Imagine, implement and operate systems/solutions/software to address a complex problem in the field of electrical engineering as an essential measurement and control vector in modern society by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Identify complex problems to be solved and develop the specifications with the client by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Based on modelling and experimentation, design one or more systems/solutions/software addressing the problem raised; evaluate them in light of various parameters of the specifications.
    • Implement a chosen system/solution in the form of a schema, a flowchart, an algorithm, a prototype, software and/or digital model.
    • Evaluate the approach and results for their adaptation (optimisation and quality).
  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, with a focus on signals and systems, using their expertise and adaptability.
    • Master and appropriately mobilise knowledge, models, methods and techniques related to the basics of electricity, electronics, automatic control, signal processing and analysis, telecommunications, hardware and software instrumentation, mathematical modelling and analysis of dynamic systems, control methods, more specific applications related to signal processing, and control of biomedical and biological systems.
    • Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.

Learning Outcomes of UE

This course focuses on dynamic systems with discrete states and transitions for the modeling of technological systems such as automated production systems and process control systems and transport systems.

The practical part of the course is related to a concrete application of modeling, control and opimazation of a complex system such as a production line with multiple units, making use of the ExtendSim software.

Content of UE

REVIEW OF SYSTEM THEORY FUNDAMENTALS: Basic concepts, Time-driven vs. event-driven systems, Examples of Discrete Event Systems (DES): automated manufacturing;  traffic systems, The queueing system model. UNTIMED MODELS OF DISCRETE-EVENT SYSTEMS, State Automata, Analysis: stability, reachability, deadlocks. The Poisson counting process and Markov chain models INTRODUCTION TO DISCRETE EVENT (MONTE-CARLO) SIMULATION, Basic concepts in discrete event simulation, Model construction and applications, Introduction to estimation theory MARKOV DECISION PROCESSES. Solving resource contention problems: admission control, routing,  scheduling
Grafcet model and process design

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • Oral examination

Q1 UE Assessment Comments

Evaluation methods may be adjusted according to the teaching/evaluation context imposed by health measures.

Type of Assessment for UE in Q3

  • Oral examination

Q3 UE Assessment Comments

Evaluation methods may be adjusted according to the teaching/evaluation context imposed by health measures.

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
  • Cours magistraux
  • Exercices dirigés
  • Utilisation de logiciels
  • Travaux pratiques
  • Etudes de cas

Mode of delivery

AAMode of delivery
  • Face to face
  • From a distance
  • Mixed

Required Reading


Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-ISIA-100Not applicable

Recommended Reading


Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-ISIA-100Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-ISIA-100Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 09/07/2021
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111