 | Study programme 2021-2022 | Français | |
| Discrete Event Systems | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-ISIA-100 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Anglais | Anglais, Français | 14 | 22 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
Time-driven vs. event-driven systems, examples of Discrete Event Systems (DES): automated manufacturing, traffic systems, the queueing system model.
Models of DES, Basic concepts in discrete event simulation, Monte-Carlo simulation, Input modeling and output analysis, model construction and applications, study of alternative system configurations.
Basic concepts of Agent-Based Models (ABM).
Grafcet Model and process design.
Teaching modalities may be adjusted according to the teaching context imposed by health measures.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
- Face to face
- From a distance
- Mixed
Type of Teaching Activity/Activities
- Cours magistraux
- Exercices dirigés
- Utilisation de logiciels
- Travaux pratiques
- Etudes de cas
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)