Objectives of Programme's Learning Outcomes

• Master specialist knowledge in the field of economic, political and social sciences in order to mobilise it on issues related to political, economic and social environments.
• Master and appropriately mobilise highly specialised knowledge and methodological approaches within of economic, political and social sciences.
• Analyse concrete political, social and economic issues in a multidisciplinary way, identifying future societal changes.
• Mobilise highly specialised knowledge methods and tools in different fields of economic, political and social sciences.
• Analyse a situation by critically selecting adapted methodological theories and approaches.
• Develop innovative solutions/actions/policies/methodologies adapted to an institutional and social context of actors concerned in a process of change.
• Develop and implement innovative economic and social policies and measure their potential impacts.
• Innovate in the development of methodologies and tools for analysis and decision-making in economic, political and social sciences.
• Implement a scientific approach in order to carry out detailed research on issues within the economic, social or political field.
• Construct a reference framework, formulate questions or hypotheses from the analysis of scientific literature.
• Collect data, analyse it qualitatively and quantitatively and adequately interpret the results, taking into account the reference framework within which the research was developed.
• Be critical and have a general overview of the analysis of problems and implementation of actions in the economic, social and political fields.
• Critically analyse the extent and limitations of actions implemented in the economic, social and political field.
• Communicate, orally and in writing, in a structured and relevant way.
• Present and structure data in a clear, precise, neutral, and non-oriented way.

Learning Outcomes of UE

After this course, the students will be able to : - represent and analyse a set of statistical data - control the bases of probability theory and statistical inference.

Content of UE

One-dimension descriptive statistics - Tables and diagrams of frequencies - Position and dispersion parameters. Two-dimensions descriptive statistics - Regression - Correlation. Probability theory - Random experiments and events - The different approaches of the concept of probability - Random variables, distribution of probability - Particular distributions - Mathematical expectation and variance - Independance of random variables - Some fundamental theorems. Statistical inference - Sampling, estimation - Tests theory.

Prior Experience

Not applicable

Type of Assessment for UE in Q1

• Oral examination
• Written examination

Q1 UE Assessment Comments

Evaluation is based on a written examination (100%). Only in situations where a student has to take two exams at the same time, an oral examination could be envisaged.

Type of Assessment for UE in Q3

• Oral examination
• Written examination

Q3 UE Assessment Comments

Evaluation is based on a written examination (100%). Only in situations where a student has to take two exams at the same time, an oral examination could be envisaged.

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable