| Credits: 3,0 | | Study load hours: 81 | Period: semester 1 (3sp)  |
| Language of instruction: English | | Exam contract: not possible |
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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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1.What is a database system? What is a data model? What is a query language?
2.Conceptual database design, the Entity-Relationship model
3.Logical database design, the relational model, functional dependencies, Boyce-Codd normal form, inclusion dependencie
4.Querying relational databases: relational algebra, SQL
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| Compulsory course material |
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Course notes, plus materials provided through Blackboard. |
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Semester 1 (3,00sp)
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| Off campus online evaluation/exam | ✔ |
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| For the full evaluation/exam | ✔ |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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Learning outcomes | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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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| Included in these programmes | Tolerance3 |
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Y
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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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