SylabUZ
Course name | Data warehouse and data mining |
Course ID | 11.3-WE-INFP-DWaDM-Er |
Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
Field of study | Computer Science |
Education profile | academic |
Level of studies | First-cycle Erasmus programme |
Beginning semester | winter term 2019/2020 |
Semester | 6 |
ECTS credits to win | 5 |
Course type | optional |
Teaching language | english |
Author of syllabus |
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The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Lecture | 15 | 1 | - | - | Credit with grade |
Laboratory | 30 | 2 | - | - | Credit with grade |
Project | 15 | 1 | - | - | Credit with grade |
Databases, Elements of artificial intelligence.
Data warehouses. Definition of Data Warehouse. Features of Data Warehouse. Exemplary applications. Architectures of Data Warehouses. Layered structure of the Warehouse: data sources, extraction layer, cleaning, transformation and data loading, data access layer. Tools for designing, building, maintaining and administering of the Data Warehouse.
Multidimensional data models. Models: MOLAP, ROLAP, HOLAP. Building of exemplary data cube.
Knowledge representation forms: logical rules, decision trees, neural nets.
Data Mining. Data preparation process. Selected Data Mining methods: classification, grouping, discovering association and sequences, analysis of time series.
Exemplary Data Mining applications.
Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture – obtaining a positive grade from test.
Laboratory – the passing condition is to obtain positive marks from all laboratory exercises to be planned during the semester.
Project - the main condition to get a pass are sufficient marks for individual task conducted during the semester. There is also possible, that larger tasks can be carried out in groups, but each student will be assessed individually.
Calculation of the final grade: lecture 33,3% + laboratory 33,3% + 33,3% project
Modified by dr inż. Jacek Tkacz (last modification: 27-04-2020 14:46)