| Language of instruction: English |
| | | Exam contract: not possible |
|
|
Mandatory sequentiality bound on the level of programme components
|
| |
| |
| |
Following programme components must have been included in your study programme in a previous education period
|
| |
|
Business statistics (1738)
|
6.0 stptn |
| |
|
|
Advising sequentiality bound on the level of programme components
|
| |
| |
| |
Following programme components are advised to also be included in your study programme up till now.
|
| |
|
Econometrics (1543)
|
6.0 stptn |
| |
|
|
There is no data for this choice.
Change the language, year or choose another item in the dropdown list if it is available.
There is no data for this choice.
Change the language, year or choose another item in the dropdown list if it is available.
| Degree programme | | Study hours | Credits | P1 SBU | P2 SBU | P2 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 3rd Bachelor of Business Engineering | Compulsory | 162 | 6,0 | 81 | 81 | 6,0 | Yes | Yes | Numerical |  |
|
| | | Learning outcomes |
- EC
| The holder of the degree builds up knowledge autonomously with a view to lifelong learning. (Self-direction and entrepreneurial spirit) | - EC
| The holder of the degree displays an entrepreneurial attitude. (Self-direction and entrepreneurial spirit) | - EC
| The holder of the degree draws up a research plan under supervision. (Research skills) | - EC
| The holder of the degree selects and implements scientific research methods under supervision. (Research skills) | - EC
| The holder of the degree analyses, interprets, evaluates and reports research results under supervision. (Research skills) | - EC
| The holder of the degree has a command of IT applications and the basic programming skills necessary to translate financial and technical business data into business-relevant information. (Programme-specific competencies) |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Students can code in R (read in data, organization of data, implementation of statistical analyses, exporting results).
Students have good knowledge of basic econometrics (Linear regression model).
|
|
|
|
|
Workflow of statistical analysis in R
Open science and ‘replication crisis’
Panel data, fixed effects and clustered standard errors
Replication and robustness analyses of a published article
|
|
|
|
|
|
|
|
|
Group work ✔
|
|
|
|
Paper ✔
|
|
|
|
Presentation ✔
|
|
|
|
Semester 2 (6,00sp)
| Evaluation method | |
|
| Written evaluation during teaching period | 60 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
| Conditions transfer of partial marks within the academic year | if you passed |
|
|
|
|
|
|
|
|
| Oral evaluation during teaching period | 40 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
| Conditions transfer of partial marks within the academic year | if you passed |
|
|
|
|
|
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | If a student has passed the replication report or the presentation/questions in the first try he or she only has to re-take the part that he or she failed in. |
|
|
|
|
|
|
|
1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.16.9, section 2. |
3 Education, Examination and Legal Position Regulations art.15.1, section 3.
|
| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
|