| 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 Bioinformatics | Compulsory | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical |  |
| 1st year Master Bioinformatics - icp | Compulsory | 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 knows the international nature of the field of statistical science and data science. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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The course introduces basic concepts and methods of (statistical) bioinformatics related to genomics; proteomics; sequence alignment; microarrays; mass spectrometry; next generation sequencing; microbiome analysis.
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Distance learning ✔
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Lecture ✔
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Period 2 Credits 4,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 0 % |
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| Written exam | 100 % |
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| Multiple-choice questions | ✔ |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Recommended course material |
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Lecture notes, copies of papers/book chapters relevant for the lectures' topics. |
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| 1st year Master Biostatistics | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
| 1st year Master Data Science | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
| 1st year Quantitative Epidemiology | 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 knows the international nature of the field of statistical science and data science. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
The course introduces basic concepts and methods of (statistical) bioinformatics related to genomics; proteomics; sequence alignment; microarrays; SAGE; mass spectrometry; next generation sequencing; microbiome analysis.
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Period 2 Credits 4,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 0 % |
|
|
|
| Written exam | 100 % |
|
|
| Multiple-choice questions | ✔ |
|
|
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Recommended course material |
| |
Lecture notes, copies of papers/book chapters relevant for the lectures' topics. |
|
|
|
|
|
| Exchange Programme Mathematics | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
|
| |
|
|
The course introduces basic concepts and methods of (statistical) bioinformatics related to genomics; proteomics; sequence alignment; microarrays; SAGE; mass spectrometry; next generation sequencing; microbiome analysis.
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Period 2 Credits 4,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 0 % |
|
|
|
| Written exam | 100 % |
|
|
| Multiple-choice questions | ✔ |
|
|
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Recommended course material |
| |
Lecture notes, copies of papers/book chapters relevant for the lectures' topics. |
|
|
|
|
|
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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