| Course title | Data Storage and Processing |
|---|---|
| Course code | KI/DUL |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 6 |
| Language of instruction | Czech |
| Status of course | Compulsory-optional |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
|
1. Basic principles of online analytical processing (OLAP) and online transaction processing (OLTP) 2. Architecture of multidimensional databases 3. Architecture of data models and data warehouses 4. Transformation of relational databases into multidimensional databases and data warehouses 5. Extract, Transform and Load (ETL) phase 6. Creation and accessing methods 7. Reports and client applications 8. Working with OLAP databases 9. Data warehouse development 10. Statistical principles of data mining 11. Data mining: physical and conceptual models 12. Data mining: algorithms, evaluation and verification of models
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
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The objective of this course is to provide introduction into multidimensional databases and data warehouses and principles of data mining.
|
| Prerequisites |
|
unspecified
KI/DSY |
| Assessment methods and criteria |
|
unspecified
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Science | Study plan (Version): Information Systems (A14) | Category: Informatics courses | 3 | Recommended year of study:3, Recommended semester: Winter |