Mineure |
Format |
Lieu d'enseignement |
Prérequis |
Dates |
Academic writing |
Classroom |
Campus Saint Jean d'Angely |
No prerequisites. |
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Advanced macroeconomics |
Classroom |
Campus Saint Jean d'Angely |
The course requires knowledge of the basic concepts of :
- mathematical analysis (the notion of a function with one and many variables, limit and derivative of a function, maximum and minimum of a function under constraints, etc.)
- linear algebra (vector and matrix concepts and their manipulation)
- statistics and econometrics (linear regression, hypothesis testing, etc.).
- knowledge of microeconomics and macroeconomics
|
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Agent-based modelling |
Classroom |
Campus Saint Jean d'Angely |
No prerequisites. |
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Artificial intelligence and societal transformations |
Classroom |
Campus Saint Jean d'Angely |
|
|
Data collection by survey |
Classroom |
Campus Saint Jean d'Angely |
|
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Data science avec Python |
Classroom |
Campus Saint Jean d'Angely |
Before the course starts, I need to have...
- Basic knowledge of programming.
- Basic knowledge of descriptive statistics (mean, median, standard deviation, variance, correlation).
- Basic knowledge of Python (desirable but not compulsory).
|
|
Deeptech entrepreneurship |
Online |
Campus Saint Jean d'Angely |
No prerequisites. |
|
Digital economics |
Online |
Campus Saint Jean d'Angely |
|
|
Excel + VBA |
Online |
Campus Saint Jean d'Angely |
The prerequisites are :
- Computer skills, general knowledge of office automation tools, ability to use e-mail and a web browser ;
- Know how to enter data into an Excel cell, master the principles of basic calculations - sum, average, etc.
- Know the basics of statistics: how to calculate a percentage, an average, etc.
- A PC must be available for VBA courses (incompatibility with Mac)
|
|
Excel + VBA Expert |
Online |
Campus Saint Jean d'Angely |
To follow this course, you need to know how to :
- Write and format a file, text and data, perform simple operations in a spreadsheet, know how to manipulate a dataset and visualise a dataset.
- Students must also have some knowledge of data analysis (descriptive statics).
|
|
Innovation and design thinking 2 |
Classroom |
Campus Saint Jean d'Angely |
No prerequisites. |
|
Introduction à R |
Classroom |
Campus Saint Jean d'Angely |
No prerequisites. |
|
Matrix algebra for econometrics |
Classroom |
Campus Saint Jean d'Angely |
A preliminary knowledge of the basic notions of real analysis and calculus is required. |
|
Networks |
Classroom |
Campus Saint Jean d'Angely |
|
|
Sociologie de l'innovation |
Classroom |
Campus Saint Jean d'Angely |
No prerequisites. |
|
Specialisation in economics 2 |
Classroom |
Campus Saint Jean d'Angely |
|
|
Specialisation in management |
Classroom |
Campus Saint Jean d'Angely |
|
|
Statistiques appliquées |
Online |
Campus Saint Jean d'Angely |
Mastery of statistical software (Stata - R) is not necessary, only mastery of Excel or equivalent, particularly for descriptive statistics and the creation of graphs, will be required. |
|
The economics of plateforms |
Classroom |
Campus Saint Jean d'Angely |
|
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