| Language of instruction: English |
| | | Exam contract: not possible |
There is no data for this choice.
Change the language, year or choose another item in the dropdown list if it is available.
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 | 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 | |
|
| | | 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 student has basic knowledge of molecular biology.
The student has basic knowledge of statistical inference (probability distributions. estimation methods, statistical hypothesis testing).
|
|
|
|
|
The course introduces basic concepts and methods of (statistical) bioinformatics related to genomics; proteomics; sequence alignment; microarrays; mass spectrometry; next generation sequencing; microbiome analysis.
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Semester 2 (4,00sp)
| Evaluation method | |
|
| Written evaluation during teaching period | 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. |
|
|
|
|
|
| 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 | |
|
| | | 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 student has basic knowledge of molecular biology.
The student has basic knowledge of statistical inference (probability distributions. estimation methods, statistical hypothesis testing).
|
|
|
|
|
The course introduces basic concepts and methods of (statistical) bioinformatics related to genomics; proteomics; sequence alignment; microarrays; mass spectrometry; next generation sequencing; microbiome analysis.
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Semester 2 (4,00sp)
| Evaluation method | |
|
| Written evaluation during teaching period | 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 student has basic knowledge of molecular biology.
The student has basic knowledge of statistical inference (probability distributions. estimation methods, statistical hypothesis testing).
|
|
|
|
|
The course introduces basic concepts and methods of (statistical) bioinformatics related to genomics; proteomics; sequence alignment; microarrays; mass spectrometry; next generation sequencing; microbiome analysis.
|
|
|
|
|
|
|
|
|
Distance learning ✔
|
|
|
|
Lecture ✔
|
|
|
|
Semester 2 (4,00sp)
| Evaluation method | |
|
| Written evaluation during teaching period | 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.
|
| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
|