The goal is to show how to get experimental data dialogue with the models that have been created thanks to the methods of UP "Massive data processing". This kind of test-computation dialogue may happen in both directions in order to :
| On completion of the unit, the student will be capable of: | Classification level | Priority |
|---|---|---|
| Overview of AI methods used in mechanics | 1. Knowledge | Useful |
| Associated mathematical methods | 1. Knowledge | Useful |
| Choose the good method for a given problem | 3. Apply | Important |
| Formulate a problem in a mathematical form | 3. Apply | Important |
| Implement the problem's resolution | 3. Apply | Important |
| Analyze the results | 4. Analyse | Essential |
| Percentage ratio of individual assessment | Percentage ratio of group assessment | ||||
|---|---|---|---|---|---|
| Written exam: | 50 | % | Project submission: | % | |
| Individual oral exam: | % | Group presentation: | % | ||
| Individual presentation: | % | Group practical exercise: | 50 | % | |
| Individual practical exercise: | % | Group report: | % | ||
| Individual report: | % | ||||
| Other(s): % | |||||
| Type of teaching activity | Content, sequencing and organisation |
|---|---|
| CM, TD, TP | Optimization |
| CM, TD, TP | Model updating |