| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| UW-MC-POECSO-005-M | Compulsory UE | VOLRAL Mélanie | W718 - Analyse économique du travail |
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 0 | 0 | 0 | 0 | 0 | 4 | 4 |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| W-AETR-012 | ?% |
Objectives of general skills
- 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.
- 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.
- Collect data, analyse it qualitatively and quantitatively and adequately interpret the results, taking into account the reference framework within which the research was developed.
- Communicate, orally and in writing, in a structured and relevant way.
- Present and structure data in a clear, precise, neutral, and non-oriented way.
UE's Learning outcomes
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.
UE Content
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
Term 1 for Integrated Assessment - type
- Written examination
Term 2 for Integrated Assessment - type
- N/A
Term 3 for Integrated Assessment - type
- Written examination
Resit Assessment for IT - Term 1 (B1BA1) - type
- N/A
Type of Teaching Activity/Activities
| AA | |
|---|---|
| W-AETR-012 |
Mode of delivery
| AA | |
|---|---|
| W-AETR-012 |
Required Reading
| AA | |
|---|---|
| W-AETR-012 |
Required Learning Resources/Tools
| AA | |
|---|---|
| W-AETR-012 |
Recommended Reading
| AA | |
|---|---|
| W-AETR-012 |
Recommended Learning Resources/Tools
| AA | |
|---|---|
| W-AETR-012 |
Other Recommended Reading
| AA | |
|---|---|
| W-AETR-012 |
Term 1 Assessment - type
| AA | |
|---|---|
| W-AETR-012 |
Term 1 Assessment - comments
| AA | |
|---|---|
| W-AETR-012 |
Resit Assessment - Term 1 (B1BA1) - type
| AA | |
|---|---|
| W-AETR-012 |
Resit Assessment - Term 1 (B1BA1) - Comments
| AA | |
|---|---|
| W-AETR-012 |
Term 2 Assessment - type
| AA | |
|---|---|
| W-AETR-012 |
Term 2 Assessment - comments
| AA | |
|---|---|
| W-AETR-012 |
Term 3 Assessment - type
| AA | |
|---|---|
| W-AETR-012 |
Term 3 Assessment - comments
| AA | |
|---|---|
| W-AETR-012 |