| Language of instruction: English |
| | | Exam contract: not possible |
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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 | |
 | 1st year Master Biostatistics | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical |  |
| 1st year Master Biostatistics - icp | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
| 1st year Quantitative Epidemiology | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
| 1st year Master Quantitative Epidemiology - icp | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
|
| | | 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 software. | - EC
| The student is able to efficiently acquire, store and process data. | | | - DC
| ... selecting and using the best data management options |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Some initiation in programming is assumed, as provided by the course on Programming in Python which runs in parallel with this course.
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- What is a database system? What is a data model? What is a query language?
- Conceptual database design, the Entity-Relationship model
- Logical database design, the relational model, functional dependencies, Boyce-Codd normal form, inclusion dependencie
- Querying relational databases: relational algebra, SQL
- Graph databases
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|
Semester 1 (5,00sp) Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Compulsory course material |
| |
Course notes, plus materials provided through Blackboard. |
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| 1st year Master Data Science | Compulsory | 135 | 5,0 | 135 | 5,0 | Yes | No | Numerical | |
|
| | | 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 software. | - EC
| The student is able to efficiently acquire, store and process data. | | | - DC
| ... selecting and using the best data management options |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Some initiation in programming is assumed, as provided by the course on Programming in Python which runs in parallel with this course.
|
|
|
|
- What is a database system? What is a data model? What is a query language?
- Conceptual database design, the Entity-Relationship model
- Logical database design, the relational model, functional dependencies, Boyce-Codd normal form, inclusion dependencie
- Querying relational databases: relational algebra, SQL
- Graph databases
|
|
|
Semester 1 (5,00sp) Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
| Compulsory course material |
| |
Course notes, plus materials provided through Blackboard. |
|
|
|
|
|
| 1st year Master Bioinformatics | Optional | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
| Exchange Programme Statistics | Optional | 135 | 5,0 | 135 | 5,0 | Yes | Yes | Numerical | |
|
| | | 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 software. | - EC
| The student is able to efficiently acquire, store and process data. | | | - DC
| ... selecting and using the best data management options |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Some initiation in programming is assumed, as provided by the course on Programming in Python which runs in parallel with this course.
|
|
|
|
- What is a database system? What is a data model? What is a query language?
- Conceptual database design, the Entity-Relationship model
- Logical database design, the relational model, functional dependencies, Boyce-Codd normal form, inclusion dependencie
- Querying relational databases: relational algebra, SQL
- Graph databases
|
|
|
Semester 1 (5,00sp) Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
| Compulsory course material |
| |
Course notes, plus materials provided through Blackboard. |
|
|
|
|
|
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 |
|