| Language of instruction : English |
| Exam contract: not possible |
|
Sequentiality
|
| |
|
No sequentiality
|
| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 2nd year Master Biostatistics | Compulsory | 108 | 4,0 | 108 | 4,0 | Yes | No | Numerical |  |
| 2nd year Master Biostatistics - icp | Compulsory | 108 | 4,0 | 108 | 4,0 | Yes | No | Numerical | |
|
| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - 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 |
|
|
Inference for mixed populations.
Non-linear mixed-effects models.
Hidden Markov models.
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Project ✔
|
|
|
|
Period 1 Credits 4,00
|
| 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 |
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | The assignment remains the same as for the first chance exam. The organisation of the exam remains exactly the same. |
|
|
|
|
|
| Prerequisites |
| |
Generalized linear models (3563) AND
Project: Multivariate and Hierarchical Data (3565) |
|
|
| Recommended reading |
| |
Models for Discrete Longitudinal Data,Molenberghs, Geert; Verbeke, Geert,1,Springer-Verlag New York,9780387251448,Available as e-book: https://ebookcentral.proquest.com/lib/ubhasselt/detail.action?docID=302779&pq-origsite=summon |
|
|
|
|
|
| 2nd year Master Bioinformatics | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
| 2nd year Master Data Science | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
| Exchange Programme Statistics | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
|
| | | Learning outcomes |
- EC
| The student is capable of acquiring new knowledge. | - 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 |
|
|
Inference for mixed populations.
Non-linear mixed-effects models.
Hidden Markov models.
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Project ✔
|
|
|
|
Period 1 Credits 4,00
|
| Evaluation conditions (participation and/or pass) | ✔ |
|
| Conditions | All components have to be taken up. |
|
|
|
| Consequences | Students get a 0 score if they do not meet the condition |
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | The assignment remains the same as for the first chance exam. The organisation of the exam remains exactly the same. |
|
|
|
|
|
| Prerequisites |
| |
Generalized linear models (3563) AND
Project: Multivariate and Hierarchical Data (3565) |
|
|
| Recommended reading |
| |
Models for Discrete Longitudinal Data,Molenberghs, Geert; Verbeke, Geert,1,Springer-Verlag New York,9780387251448,Available as e-book: https://ebookcentral.proquest.com/lib/ubhasselt/detail.action?docID=302779&pq-origsite=summon |
|
|
|
|
|
1 examination regulations art.1.3, section 4. |
| 2 examination regulations art.4.7, section 2. |
3 examination regulations art.2.2, section 3.
|
| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
|