Data Management DL (4431) |
Language of instruction : English |
Credits: 5,0 | | | Period: semester 1 (5sp) | | | 2nd Chance Exam1: Yes | | | Final grade2: Numerical |
| Exam contract: not possible |
Sequentiality
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No sequentiality
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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 dependencies
- Querying relational databases: relational algebra, SQL
- Graph databases
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Period 1 Credits 5,00 Second examination period
Evaluation second examination opportunity different from first examination opprt | |
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Compulsory course material |
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Course notes, plus materials provided through Blackboard. |
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Learning outcomes Master of Statistics and Data Science
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- 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 |
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| EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
Offered in | Tolerance3 |
1st year Master Bioinformatics - distance learning
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J
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1st year Master Biostatistics - distance learning
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J
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1st year Master Data Science - distance learning
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N
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1st year Master Quantitative Epidemiology - distance learning
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J
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
2 Education, Examination and Legal Position Regulations art.15.1, section 3. |
3 Education, Examination and Legal Position Regulations art.16.9, section 2.
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