Objectives of general skills

• Actively master the fundamental concepts and models of economic sciences and management sciences
• Understand the methods and tools adapted to the field of economics and management
• Critically compare knowledge acquired to real situations.
• Develop and structure reasoning by basing it on suitable scientific arguments

UE's Learning outcomes

After this course, the students will be able to
- understand and make good use of the mathematical and statistical tools usefull for economists and managers
- represent and analyse a set of statistical data
- control the bases of probability theory.

UE Content

Matrices and linear equations systems
Functions of one or several variables
Notion of derivation
Differential calculus
Optimisation models
Introduction to integral calculus
One-dimension descriptive statistics : tables and diagrams of frequencies; position and dispersion parameters of a frequencies distribution.
Two-dimensions descriptive statistics : regression and correlation.
Random experiments and events.
The different approaches of the concept of probability.
Random variables and distribution of probability. Particular distributions.
Mathematical expectation and variance.
Independance of random variables
Some fundamental theorems in statistics.

Prior experience

Not applicable

Term 1 for Integrated Assessment - type

• Written examination

Term 1 for Integrated Assessment - comments

This integrated test Q1 concerns the content of the Learning Activity "<em>Bases mathématiques pour l'économie et la gestion, partie 1</em>" :
- one written examination (the score is denoted M1 below).

Term 2 for Integrated Assessment - type

• Written examination

Term 2 for Integrated Assessment - comments

This integrated test Q2 concerns the <strong><u>whole</u></strong> content of the Programme Component "<em>Méthodes quantitatives </em>1"
- one written examination for "<em>Statistique </em>1" (the score is denoted S2 below)
- one written examination for "<em>Bases mathématiques pour l'économie et la gestion</em>, partie 1 <strong><u>AND</u></strong> partie 2" (the score is denoted M2 below)
The global score for the Programme Component is calculated as follows :
- if M1 is higher than M2 : global score = 0.35 * S2 + 0.23 * M1 + 0.42 * M2
- if M1 is lower than M2 : global score = 0.35 * S2 + 0.65 * M2

Term 3 for Integrated Assessment - type

• Written examination

Term 3 for Integrated Assessment - comments

This integrated test Q3 concerns the <strong><u>whole</u></strong> content of the Programme Component "<em>Méthodes quantitatives </em>1"
- one written examination for "<em>Statistique </em>1" (the score is denoted S3 below)
- one written examination for "<em>Bases mathématiques pour l'économie et la gestion</em>, partie 1 <strong><u>AND</u></strong> partie 2" (the score is denoted M3 below)
The global score for the Programme Component is calculated as follows :
- global score = 0.35 * S3 + 0.65 * M3

Resit Assessment for IT - Term 1 (B1BA1) - type

• N/A

Resit Assessment for IT - Term 1 (B1BA1) - Comments

Not applicable (see comment about Q2 evaluation).