| 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 | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 2nd year Master Bioinformatics - icp | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical |  |
| 2nd year Master Biostatistics - icp | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
| 2nd year Master Quantitative Epidemiology - icp | Compulsory | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The student can handle scientific quantitative research questions, independently, effectively, creatively, and correctly using state-of-the-art design and analysis methodology and software. | | | - DC
| ... correctly using state-of-the-art analysis methodology. | | | - DC
| ... correctly using state-of-the-art software. | - EC
| The student is capable of acquiring new knowledge. | - EC
| The student has the habit to assess data quality and integrity. | - EC
| The student can work in a multidisciplinary, intercultural, and international team. | - EC
| The student knows the societal relevance of statistics and data science. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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The student needs to have basic knowledge of fundamental statistical concepts.
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Selected topics in computational biology are covered in this course each academic year.
For AY 2023-2024, the first part of the course will cover “Phylogenetic inference and its applications” and the second part of course will cover “Approaches for Handling Missing Values in the Analysis of Gene Expression Data Evaluation”.
This course is organized in cooperation with lecturers from our South partners.
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Lecture ✔
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Project ✔
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Paper ✔
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Presentation ✔
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Period 1 Credits 3,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 75 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | The student needs to participate in all the components of the evaluation. |
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| Consequences | If the above condition is not met, the student can not take part in the final evaluation and hence will receive a reduced score of the final score. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Compulsory course material |
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Handouts made available by the instructors on Blackboard. |
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| 2nd year Master Bioinformatics | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
| 2nd year Master Biostatistics | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
| 2nd year Master Quantitative Epidemiology | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
| Exchange Programme Statistics | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The student can handle scientific quantitative research questions, independently, effectively, creatively, and correctly using state-of-the-art design and analysis methodology and software. | | | - DC
| ... correctly using state-of-the-art analysis methodology. | | | - DC
| ... correctly using state-of-the-art software. | - EC
| The student is capable of acquiring new knowledge. | - EC
| The student has the habit to assess data quality and integrity. | - EC
| The student can work in a multidisciplinary, intercultural, and international team. | - EC
| The student knows the societal relevance of statistics and data science. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Selected topics in computational biology are covered in this course each academic year.
For AY 2023-2024, the first part of the course will cover “Phylogenetic inference and its applications” and the second part of course will cover “Approaches for Handling Missing Values in the Analysis of Gene Expression Data Evaluation”.
This course is organized in cooperation with lecturers from our South partners.
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Lecture ✔
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|
Project ✔
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Paper ✔
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|
Presentation ✔
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Period 1 Credits 3,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 75 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | The student needs to participate in all the components of the evaluation. |
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|
| Consequences | If the above condition is not met, the student can not take part in the final evaluation and hence will receive a reduced score of the final score. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Compulsory course material |
| |
Handouts made available by the instructors on Blackboard. |
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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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