| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| UW-M1-IGGEST-004-M | Compulsory UE | DHYNE Emmanuël | 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 | 5 | 5 |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| W-AETR-005 | ?% |
Objectives of general skills
- Mobilise expertise in at least one area of management.
- Master the principal decision-making processes of a company.
- Professionally communicate and present original work both orally and in writing.
- Conduct scientific reasoning on complex or innovative management issues.
- In an active and integrated manner, master knowledge in the various fields of management and use them effectively in a professional context.
- Integrate highly specialised knowledge in different fields of management.
- Adopt a scientific approach of analysis and reasoning.
- Master the different steps and methods to carry out research on complex or innovative management issues.
- 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.
- Develop innovative strategies.
- Mobilise the methods and management support tools in changing contexts.
- Innovate in the development of methodologies and tools for analysis and decision-making in management.
- Integrate scientific and technological processes.
- Identify, model and analyse real and complex problems in management sciences.
UE's Learning outcomes
At the end of this course, students will be able to apply a series of econometric tools (time series analysis) and advanced statistics (data analysis) useful for empirical analysis in the field of management. Students will also learn how to use the software Stata.
UE Content
Univariate and multivariate time series analysis : ARMA, unit root and stationarity tests, VAR, ARCH and GARCH models, ... Data analysis : principal components, factorial analysis, clusters, ...
Prior experience
Matrix calculus, probability and inference; method of least squares; basics of Stata Statistics I and II, Econometrics I
Term 1 for Integrated Assessment - type
- Presentation and works
- Written examination
Term 2 for Integrated Assessment - type
- Oral Examination
- Written examination
- N/A
Term 3 for Integrated Assessment - type
- Oral examination
- Written examination
Resit Assessment for IT - Term 1 (B1BA1) - type
- N/A
Type of Teaching Activity/Activities
| AA | |
|---|---|
| W-AETR-005 |
Mode of delivery
| AA | |
|---|---|
| W-AETR-005 |
Required Reading
| AA | |
|---|---|
| W-AETR-005 |
Required Learning Resources/Tools
| AA | |
|---|---|
| W-AETR-005 |
Recommended Reading
| AA | |
|---|---|
| W-AETR-005 |
Recommended Learning Resources/Tools
| AA | |
|---|---|
| W-AETR-005 |
Other Recommended Reading
| AA | |
|---|---|
| W-AETR-005 |
Term 1 Assessment - type
| AA | |
|---|---|
| W-AETR-005 |
Term 1 Assessment - comments
| AA | |
|---|---|
| W-AETR-005 |
Resit Assessment - Term 1 (B1BA1) - type
| AA | |
|---|---|
| W-AETR-005 |
Resit Assessment - Term 1 (B1BA1) - Comments
| AA | |
|---|---|
| W-AETR-005 |
Term 2 Assessment - type
| AA | |
|---|---|
| W-AETR-005 |
Term 2 Assessment - comments
| AA | |
|---|---|
| W-AETR-005 |
Term 3 Assessment - type
| AA | |
|---|---|
| W-AETR-005 |
Term 3 Assessment - comments
| AA | |
|---|---|
| W-AETR-005 |