| Language of instruction : English |
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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 | P2 SBU | P2 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | Master of Computer Science choice | 2-yearly optional (next academic year) | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical |  |
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| | | Learning outcomes |
- EC
| EC 1: A graduate of the Master of Computer Science programme has insight into the most important technological developments in the field of computer science and the underlying scientific principles. | - EC
| EC 2: A graduate of the Master of Computer Science programme is able to keep up with the evolution in the field of computer science (and related fields), to evaluate and to acquire new technologies. | - EC
| EC 7: A graduate of the Master of Computer Science programme is able to analyse and evaluate information in a critical manner and to process this information efficiently. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Modern database applications require support for new data types, which go far beyond the classic numbers and strings that you can store in a classic relational database. To support object-oriented software development, or complex data structures, we want to support random objects (for example, from Java) in the database. We have XML data for the exchange of data in the World Wide Web. For applications in Big Data we have graph data and JSON data. We also look at spatial data and Geographical Information Systems. All this data must not only be stored, but must also be flexibly and efficiently interrogated in a query language. In this course we study this problem.
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Lecture ✔
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Small group session ✔
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Period 2 Credits 6,00
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| Written evaluaton during teaching periode | 30 % |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Previously purchased compulsory textbooks |
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[Database Systems],[Garcia-Molina, Ullman],[2002],[Prentice Hall],[],[] |
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| Compulsory coursebooks (printed by bookshop) |
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[],[Course text ADBT (author: Jan Van den Bussche)] |
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| Compulsory course material |
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Own course notes and publicly available documentation. |
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| Master Computer Science profile Data Management | 2-yearly compulsory (next academic year) | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| EC 1: A graduate of the Master of Computer Science programme has insight into the most important technological developments in the field of computer science and the underlying scientific principles. | - EC
| EC 2: A graduate of the Master of Computer Science programme is able to keep up with the evolution in the field of computer science (and related fields), to evaluate and to acquire new technologies. | - EC
| EC 7: A graduate of the Master of Computer Science programme is able to analyse and evaluate information in a critical manner and to process this information efficiently. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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|
Modern database applications require support for new data types, which go far beyond the classic numbers and strings that you can store in a classic relational database. To support object-oriented software development, or complex data structures, we want to support random objects (for example, from Java) in the database. We have XML data for the exchange of data in the World Wide Web. For applications in Big Data we have graph data and JSON data. We also look at spatial data and Geographical Information Systems. All his data must not only be stored, but must also be flexibly and efficiently interrogated in a query language. In this course we study this problem.
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Lecture ✔
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Small group session ✔
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Period 2 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 30 % |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Previously purchased compulsory textbooks |
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[Database Systems],[Garcia-Molina, Ullman],[2002],[Prentice Hall],[],[] |
|
|
| Compulsory coursebooks (printed by bookshop) |
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[],[Course text ADBT (author: Jan Van den Bussche)] |
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| Compulsory course material |
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Own course notes and publicly available documentation. |
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| Exchange Programme Computer Science | 2-yearly optional (next academic year) | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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Modern database applications require support for new data types, which go far beyond the classic numbers and strings that you can store in a classic relational database. To support object-oriented software development, or complex data structures, we want to support random objects (for example, from Java) in the database. We have XML data for the exchange of data in the World Wide Web. For applications in Big Data we have graph data and JSON data. We also look at spatial data and Geographical Information Systems. All his data must not only be stored, but must also be flexibly and efficiently interrogated in a query language. In this course we study this problem.
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Lecture ✔
|
|
|
|
Small group session ✔
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|
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|
Period 2 Credits 6,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 30 % |
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|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Previously purchased compulsory textbooks |
| |
[Database Systems],[Garcia-Molina, Ullman],[2002],[Prentice Hall],[],[] |
|
|
| Compulsory coursebooks (printed by bookshop) |
| |
[],[Course text ADBT (author: Jan Van den Bussche)] |
|
|
| Compulsory course material |
| |
Own course notes and publicly available documentation. |
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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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