Objectives of Programme's Learning Outcomes

• Understand the scientific foundations of technological processes and the management of information flow and their respective involvement from a managerial point of view.
• Understand the methods and tools adapted to the field of economics and management.
• Understand the scientific fundamentals of production processes and their implications.
• Understand extensive tools dedicated to the management of technological processes and the management of information flow.
• Activate mathematical and computer models to insert them into analytical reasoning.
• Understand the methods and quantitative tools adapted to the analysis of economic and management sciences.
• Analyse and model a problem, by critically selecting appropriate theories.
• Mobilise communication skills in two languages other than French, both orally and in writing, as a presentation of an argument or piece of research in accordance with scientific ethics.
• Communicate in a clear and structured manner on issues of economics and management
• Demonstrate an acute sense of analysis, criticism and ethics in relation to various issues in economics and management.
• Critically compare knowledge acquired to real situations.
• Demonstrate an acute sense of analysis, criticism and ethics in relation to various issues in economics and management.
• Demonstrate working and analytical rigour.
• Be rigorous and independent in learning, particularly through adequate planning of activities to be undertaken in order to best utilise the time available.
• Develop their scientific curiosity and open-mindedness

Learning Outcomes of UE

At the end of the course, the students will be able to understand the basic concepts of relational databases, question a relational database using requests (SQL language) and understand the basic principles of the design of a relational database. They will also be aware of new data management technologies (eg NoSQL databases, full-text indexers and semantic databases).

UE Content: description and pedagogical relevance

Introduction to the databases. The relational model. Concepts of relational algebra. SQL language. Entity-Association Model. Data Security. NoSQL database. Full-text indexers.

Prior Experience

Not applicable

Type(s) and mode(s) of Q2 UE assessment

• Written examination - Face-to-face
• Production (written work, report, essay, collection, product, etc.) - To be submitted online
• Graded assignment(s) - Face-to-face
• Practical exam - Face-to-face

Q2 UE Assessment Comments

Written examination (100%). The students have to answer to theoretical questions and to solve a number of exercises (formulating queries, designing an Entity-Relationship diagram,...).

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

• Written examination - Face-to-face
• Production (written work, report, essay, collection, product, etc.) - To be submitted online
• Graded assignment(s) - Face-to-face
• Practical exam - Face-to-face

Q3 UE Assessment Comments

Written examination (100%). The students have to answer to theoretical questions and to solve a number of exercises (formulating queries, designing an Entity-Relationship diagram,...).