 | Study programme 2019-2020 | Français | |
| Modeling Workshop in Operational Research | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-MARO-159 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 18 | 4 | 0 | 0 | 0 | Q2 |
| Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19) |
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| Description of the modifications to the Q3 2019-2020 online assessment procedures (Covid-19) |
| Exam via Teams: I'll send the questions and, two hours later, you send me a scan/photo of your answers. I'll be present to answer questions. |
Content of Learning Activity
In this class, we analyze different stochastic models from operational reasearch. In particular, we focus on Markov chains and their applications (PageRank of Google, Queing systems, etc.).
Required Learning Resources/Tools
Slides
Recommended Learning Resources/Tools
Sans objet
Other Recommended Reading
Not applicable
Mode of delivery
- Face to face
Type of Teaching Activity/Activities
- Cours magistraux
- Conférences
- Ateliers et projets encadrés au sein de l'établissement
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
(*) 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