| Language of instruction : English |
| | | Exam contract: not possible |
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| Degree programme | | Study hours | Credits | P4 SBU | P4 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 1st year Master of Biomedical Sciences - Environmental Health Sciences | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical |  |
| 1st year Master of Biomedical Sciences - Molecular Mechanisms in Health and Disease | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| 2. A graduate of the Master of Biomedical Sciences can independently and critically perform a literature search. | - EC
| 4. A graduate of the Master of Biomedical Sciences has knowledge of state-of-the-art techniques within biomedical research and is able to apply these techniques, taking into account the applicable quality standards. | - EC
| 5. A graduate of the Master of Biomedical Sciences can independently process and statistically analyze research results, and formulate conclusions. | - EC
| 7. A graduate of the Master of Biomedical Sciences takes a critical attitude towards one's own research and that of others. | - EC
| 12. A graduate of the Master of Biomedical Sciences has an attitude for lifelong learning and for constantly adjusting one's own professional thinking and acting. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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In this course the students will get acquainted with systematic reviews, data repositories and handling and processing of large datasets.
The learning goals are as follows:
The students can perform a systematic review and make a study flow chart.
The students are aware of data repositories and are able to collect data.
The students can indepently perform basic skills in managing and manupulating data in a reproducable way.
The students can independently generate plots such as volcano plots, ideograms, etc. from big datasets.
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Practical ✔
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Project ✔
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Demonstration ✔
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Report ✔
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Quarter 4 (3,00sp)
| Evaluation method | |
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| Written evaluation during teaching period | 85 % |
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| Multiple-choice questions | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | The evaluation consists of multiple parts. For all parts of the evaluation, at least a score of 8/20 must be obtained in order to pass for the course. |
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| Consequences | A student who achieves a score lower than 8/20 on one (or more) parts of the evaluation will receive a ‘F fail’ as final result. This final result is not tolerable.
A student who achieves an 8/20 or 9/20 on one (or more) parts of the evaluation will receive 9/20 as the final result, regardless of the weighted average of the scores. This final mark is tolerable.
Eg. 8/20 + 16/20 = 9/20 (tolerable) |
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| first year Master of Biomedical Sciences - Clinical Biomedical Sciences | Compulsory | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| 2. A graduate of the Master of Biomedical Sciences can independently and critically perform a literature search | - EC
| 4. A graduate of the Master of Biomedical Sciences has knowledge of state-of-the-art techniques within biomedical research and is able to apply these techniques, taking into account the applicable quality standards. | - EC
| 5. A graduate of the Master of Biomedical Sciences can independently process and statistically analyze research results, and formulate conclusions. | - EC
| 7. A graduate of the Master of Biomedical Sciences takes a critical attitude towards one's own research and that of others. | - EC
| 12. A graduate of the Master of Biomedical Sciences has an attitude for lifelong learning and for constantly adjusting one's own professional thinking and acting. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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In this course the students will get acquainted with systematic reviews, data repositories and handling and processing of large datasets.
The learning goals are as follows:
The students can perform a systematic review and make a study flow chart.
The students are aware of data repositories and are able to collect data.
The students can indepently perform basic skills in managing and manupulating data in a reproducable way.
The students can independently generate plots such as volcano plots, ideograms, etc. from big datasets.
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Practical ✔
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Project ✔
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Demonstration ✔
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Report ✔
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Quarter 4 (4,00sp)
| Evaluation method | |
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| Written evaluation during teaching period | 85 % |
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| Multiple-choice questions | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | The evaluation consists of multiple parts. For all parts of the evaluation, at least a score of 8/20 must be obtained in order to pass for the course. |
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|
| Consequences | A student who achieves a score lower than 8/20 on one (or more) parts of the evaluation will receive a ‘F fail’ as final result. This final result is not tolerable.
A student who achieves an 8/20 or 9/20 on one (or more) parts of the evaluation will receive 9/20 as the final result, regardless of the weighted average of the scores. This final mark is tolerable.
Eg. 8/20 + 16/20 = 9/20 (tolerable) |
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| 1st year Master of Biomedical Sciences - Bioelectronics and Nanotechnology | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| 2. A graduate of the Master of Biomedical Sciences can independently and critically perform a literature search. | - EC
| 4. A graduate of the Master of Biomedical Sciences has knowledge of state-of-the-art techniques within biomedical research and is able to apply these techniques, taking into account the applicable quality standards. | - EC
| 5. A graduate of the Master of Biomedical Sciences can independently process and statistically analyze research results, and formulate conclusions. | - EC
| 7. A graduate of the Master of Biomedical Sciences takes a critical attitude towards one's own research and that of others. | - EC
| 12. A graduate of the Master of Biomedical Sciences has an attitude for lifelong learning and for constantly adjusting one's own professional thinking and acting. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
In this course the students will get acquainted with systematic reviews, data repositories and handling and processing of large datasets.
The learning goals are as follows:
The students can perform a systematic review and make a study flow chart.
The students are aware of data repositories and are able to collect data.
The students can indepently perform basic skills in managing and manupulating data in a reproducable way.
The students can independently generate plots such as volcano plots, ideograms, etc. from big datasets.
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Practical ✔
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Project ✔
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Demonstration ✔
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Report ✔
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Quarter 4 (3,00sp)
| Evaluation method | |
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| Written evaluation during teaching period | 85 % |
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| Multiple-choice questions | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
|
| Conditions | The evaluation consists of multiple parts. For all parts of the evaluation, at least a score of 8/20 must be obtained in order to pass for the course. |
|
|
|
| Consequences | A student who achieves a score lower than 8/20 on one (or more) parts of the evaluation will receive a ‘F fail’ as final result. This final result is not tolerable.
A student who achieves an 8/20 or 9/20 on one (or more) parts of the evaluation will receive 9/20 as the final result, regardless of the weighted average of the scores. This final mark is tolerable.
Eg. 8/20 + 16/20 = 9/20 (tolerable) |
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| Master of Teaching in Health Sciences keuzetraject BMW/GEN met vakdidactiek biologie | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
| Master of Teaching in Health Sciences keuzetraject BMW/GEN met vakdidactiek chemie | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| 5.4 The educational master is a domain expert HEALTH SCIENCES: the EM can independently and critically conduct literature research, formulate and operationalise a research question (-hypothesis), collect research data, process the obtained research results, interpret and report orally and in writing. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
In this course the students will get acquainted with systematic reviews, data repositories and handling and processing of large datasets.
The learning goals are as follows:
The students can perform a systematic review and make a study flow chart.
The students are aware of data repositories and are able to collect data.
The students can indepently perform basic skills in managing and manupulating data in a reproducable way.
The students can independently generate plots such as volcano plots, ideograms, etc. from big datasets.
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Practical ✔
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Project ✔
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Demonstration ✔
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Report ✔
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Quarter 4 (3,00sp)
| Evaluation method | |
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| Written evaluation during teaching period | 85 % |
|
| Multiple-choice questions | ✔ |
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|
|
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| Evaluation conditions (participation and/or pass) | ✔ |
|
| Conditions | The evaluation consists of multiple parts. For all parts of the evaluation, at least a score of 8/20 must be obtained in order to pass for the course. |
|
|
|
| Consequences | A student who achieves a score lower than 8/20 on one (or more) parts of the evaluation will receive a ‘F fail’ as final result. This final result is not tolerable.
A student who achieves an 8/20 or 9/20 on one (or more) parts of the evaluation will receive 9/20 as the final result, regardless of the weighted average of the scores. This final mark is tolerable.
Eg. 8/20 + 16/20 = 9/20 (tolerable) |
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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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