| Language of instruction : English |
| Exam contract: not possible |
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Sequentiality
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No sequentiality
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| Degree programme | | Study hours | Credits | P2 SBU | P2 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 1st year Master Biostatistics | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical |  |
| 1st year Master Biostatistics - icp | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
| 1st year Quantitative Epidemiology | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
| 1st year Master Quantitative Epidemiology - icp | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - EC
| The student has the habit to assess data quality and integrity. | - EC
| The student can work in a multidisciplinary, intercultural, and international team. | - EC
| The student is an effective written and oral communicator, both within their own field as well as across disciplines. | | | - DC
| The student is an effective writer in their own field. | | | - DC
| The student is an effective writer, both within their own field as well as across disciplines. | | | - DC
| The student is an effective oral communicator in their own field. | | | - DC
| The student is an effective oral communicator, both within their own field as well as across disciplines. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Survey sampling, survey design, survey analysis, stratification, multi stage sampling, clustering, weighting
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Distance learning ✔
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Lecture ✔
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Project ✔
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Response lecture ✔
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Period 2 Credits 5,00
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | All components of the evaluation have to be taken up before the student can get a score other than 0. |
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| Consequences | Students who do not participate in one or more of the evaluation components can only get a 0 score. |
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| Additional information | For the oral part of the exam, the range is [-2;10]. This ensures that students cannot merely pass on the written part, not even if they obtain the maximum score on the written part. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | The assignment for the project and format of the oral exam is identical. |
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| Recommended course material |
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The course slides set out with a list of texts, primarily books, that are useful background reading. They are not compulsory. They can be relevant, in particular towards future use of sampling theory concepts. |
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| 1st year Master of Science in Transportation Sciences | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
| 2nd year Master of Transportation Sciences | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The holder of the degree is able to consult and summarize international scientific specialist literature in the domain of transportation sciences autonomously. Based on this information, he/she can take a substantiated stand. | | | - DC
| The student consults the sources which are identified as relevant by himself/herself in a methodologically sound manner. | | | - DC
| Students are able to summarize the impact of measures that are used to manage traffic demand and assess them based on various sources from scientific specialist literature. | | | - DC
| Students can look up suitable scientific literature (i.e. articles, books, reports) on the website of Hasselt University's library. | | | - DC
| Students can apply the APA guidelines. | | | - DC
| Students are able to structure, summarize and apply scientific literature from a theoretical framework. | | | - DC
| The student is able to autonomously look up relevant information in scientific literature based on a personally formulated problem definition and research questions. | | | - DC
| The student is able to summarize the consulted literature in a well-structured study of literature. | - EC
| The holder of the degree considers society as a whole as an important stakeholder and reflects on the social relevance and consequences of recommendations and assignments in a critical manner. In addition to society, the master can also identify and set to work with other stakeholders (interested parties) and their specific needs. | | | - DC
| De student kan zich inleven in en rekening houden met de standpunten van verschillende stakeholders bij het beoordelen van verschillende oplossingsmogelijkheden | | | - DC
| The student is able to identify the most important stakeholders within the context of his/her topic and to elucidate their relevance. | | | - DC
| The student can reflect the interests of the various stakeholders and take these into account when making recommendations. | - EC
| The holder of the degree is able to communicate and convince others (both in writing and orally) on his/her field of study (in the shape of scientific reports, presentations, case studies and the integrated project) with scientists of his/her own or similar fields of study and with wide social groups (e.g. residents, governments, shopkeepers). | | | - DC
| The student is able to give a presentation about the work he did (both in writing and orally). | | | - DC
| The student can report in an efficient, accurate, scientific and clear manner. | - EC
| The holder of the degree is able to autonomously carry out research in transportation sciences, formulate recommendations and show their practical applicability in daily life, whilst keeping to the deontological codes of research. | | | - DC
| The student carries out the study of literature according to the deontological codes of research. | | | - DC
| The student carries out the study of literature and the scientific research according to the deontological codes of research. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Survey sampling, survey design, survey analysis, stratification, multi stage sampling, clustering, weighting
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Project ✔
|
|
|
|
Response lecture ✔
|
|
|
|
Period 2 Credits 6,00
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| Evaluation conditions (participation and/or pass) | ✔ |
|
| Conditions | All components of the evaluation have to be taken up. |
|
|
|
| Consequences | Students get a 0 score if they do not meet the condition. |
|
|
|
| Additional information | For the oral part of the exam, the range is [-2;10]. This ensures that students cannot merely pass on the written part, not even if they obtain the maximum score on the written part. |
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | The assignment for the project and format of the oral exam is identical. |
|
|
|
|
|
| Recommended course material |
| |
The course slides set out with a list of texts, primarily books, that are useful background reading. They are not compulsory. They can be relevant, in particular towards future use of sampling theory concepts. |
|
|
|
|
|
| Exchange Programme Statistics | Optional | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
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| |
|
|
Survey sampling, survey design, survey analysis, stratification, multi stage sampling, clustering, weighting
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Project ✔
|
|
|
|
Response lecture ✔
|
|
|
|
Period 2 Credits 5,00
|
| Evaluation conditions (participation and/or pass) | ✔ |
|
| Conditions | All components of the evaluation have to be taken up. |
|
|
|
| Consequences | Students get a 0 score if they do not meet the condition. |
|
|
|
| Additional information | For the oral part of the exam, the range is [-2;10]. This ensures that students cannot merely pass on the written part, not even if they obtain the maximum score on the written part. |
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | The assignment for the project and format of the oral exam is identical. |
|
|
|
|
|
| Recommended course material |
| |
The course slides set out with a list of texts, primarily books, that are useful background reading. They are not compulsory. They can be relevant, in particular towards future use of sampling theory concepts. |
|
|
|
|
|
| 1st year Master Bioinformatics | Optional | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
| 1st year Master Data Science | Optional | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
|
| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - EC
| The student has the habit to assess data quality and integrity. | - EC
| The student can work in a multidisciplinary, intercultural, and international team. | - EC
| The student is an effective written and oral communicator, both within their own field as well as across disciplines. | | | - DC
| The student is an effective writer in their own field. | | | - DC
| The student is an effective writer, both within their own field as well as across disciplines. | | | - DC
| The student is an effective oral communicator in their own field. | | | - DC
| The student is an effective oral communicator, both within their own field as well as across disciplines. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Survey sampling, survey design, survey analysis, stratification, multi stage sampling, clustering, weighting
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Project ✔
|
|
|
|
Response lecture ✔
|
|
|
|
Period 2 Credits 5,00
|
| Evaluation conditions (participation and/or pass) | ✔ |
|
| Conditions | All components of the evaluation have to be taken up before the student can get a score other than 0. |
|
|
|
| Consequences | Students who do not participate in one or more of the evaluation components can only get a 0 score. |
|
|
|
| Additional information | For the oral part of the exam, the range is [-2;10]. This ensures that students cannot merely pass on the written part, not even if they obtain the maximum score on the written part. |
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | The assignment for the project and format of the oral exam is identical. |
|
|
|
|
|
| Recommended course material |
| |
The course slides set out with a list of texts, primarily books, that are useful background reading. They are not compulsory. They can be relevant, in particular towards future use of sampling theory concepts. |
|
|
|
|
|
1 examination regulations art.1.3, section 4. |
| 2 examination regulations art.4.7, section 2. |
3 examination regulations art.2.2, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
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