| Language of instruction : English |
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Sequentiality
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Mandatory sequentiality bound on the level of programme components
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Following programme components must have been included in your study programme in a previous education period
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Generalized Linear Models (3563)
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6.0 stptn |
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Project: Multivariate and Hierarchical Data (3565)
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8.0 stptn |
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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 | 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 | |
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| | | 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. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Inference for mixed populations.
Non-linear mixed-effects models.
Hidden Markov models.
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Distance learning ✔
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Lecture ✔
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Project ✔
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Semester 1 (4,00sp)
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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. |
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| Consequences | Students get an "X" score if they do not meet the condition. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | The assignment remains the same as for the first chance exam. The organisation of the exam remains exactly the same. |
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| Recommended reading |
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[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] |
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| 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 | |
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| | | 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.
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Distance learning ✔
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Lecture ✔
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|
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Project ✔
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Semester 1 (4,00sp)
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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. |
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| Consequences | Students get an "X" score if they do not meet the condition. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | The assignment remains the same as for the first chance exam. The organisation of the exam remains exactly the same. |
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| Recommended reading |
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[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] |
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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.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
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