Objectives of Programme's Learning Outcomes

• Implement an engineering approach dealing with a set problem taking into account technical, economic and environmental constraints
• Implement a chosen solution in the form of a drawing, a schema, a plan, a model, a prototype, software and/or digital model
• Understand the theoretical and methodological fundamentals in science and engineering to solve problems involving these disciplines
• Identify, describe and explain basic scientific and mathematical principles
• Select and rigorously apply knowledge, tools and methods in sciences and engineering to solve problems involving these disciplines

Learning Outcomes of UE

- mastery of data analysis techniques: understanding of the methods and ability to implement them.
- Understand and interpret modeling results with critical thinking; interact with those responsible for modeling to improve its quality; extract and analyze significant data from a process in order to prepare modeling.
- Be able to implement a design of experiment. Awareness of the experimental validation of models.

Data analysis methods are often used to curate the results of design of experiment. This is examplified by a common project between the 2 parts of the class.

UE Content: description and pedagogical relevance

- data analysis techniques: dimensionality reduction techniques (principal component analysis and singular value decomposition), classic statistical data analysis models (analysis of variance, multiple linear regression, etc.)
- probability-based modeling methods (Monte Carlo methods)
- ab initio methods
- theory of experimental designs and methods of analyzing results.

Prior Experience

Not applicable

Type(s) and mode(s) of Q1 UE assessment

• Written examination - Face-to-face
• Production (written work, report, essay, collection, product, etc.) - To be submitted in class

Q1 UE Assessment Comments

For 'plans d'experiences et méthodes stochastiques', grade is based on the project and the practical reports (no exam).
For 'Analyses des données', a written exam is organised.
The total note is the average of the 2 notes.

Method of calculating the overall mark for the Q1 UE assessment

The UE rating is the arithmetic average of the two AA ratings.

Type(s) and mode(s) of Q1 UE resit assessment (BAB1)

• N/A - Néant

Q1 UE Resit Assessment Comments (BAB1)

-

Method of calculating the overall mark for the Q1 UE resit assessment

-

Type(s) and mode(s) of Q3 UE assessment

• Written examination - Face-to-face

Q3 UE Assessment Comments

Separate exams for the 2 AAs but organized on the same day. The UE rating is the arithmetic average of the two AA ratings.

Method of calculating the overall mark for the Q3 UE assessment

The UE rating is the arithmetic average of the two AA ratings.