| Course title | Database Systems 2 |
|---|---|
| Course code | KMI/ODBS2 |
| Organizational form of instruction | Lesson |
| Level of course | Bachelor |
| Year of study | 2 |
| Semester | Summer |
| Number of ECTS credits | 3 |
| Language of instruction | English |
| Status of course | 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 |
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1. - Introduction into data mining 2. - Data sources. Relational DB. OLAP. Data warehouses. 3. - Fundamentals of statistics and 4. - Statistics. Pivot tables. Regression analyzes. Clustering. 5. - Data preparing 6. - Machine learning. 7. - Decision trees. 8. - Association rules. 9. - Decision rules. 10. - Neural networks, Bayesian classification. 11. - Result evaluation. 12. - Data mining software systems overview.
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| Learning activities and teaching methods |
Monologic (reading, lecture, briefing), Demonstration, E-learning
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| Learning outcomes |
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The course is based on practical programming of database applications - creating of database models and connection of relational databases with object-oriented programs. Students are introduced to procedures of analysis, modeling and implementation of complex projects based on manipulation with data.
Student will be familiarized with the steps of the knowledge discovery process, and with techniques, algorithms and tools used in the process od knowledge discovery in databases. Student will be able to solve simple practical data mining tasks. |
| Prerequisites |
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The subject Database systems 1 (DBS1)
KMI/CDBS1 ----- or ----- KMI/DBS1 ----- or ----- KMI/KDBS1 ----- or ----- KMI/ODBS1 |
| Assessment methods and criteria |
|
Test, Seminar work
Credit Requirements: Programming partial short tasks, creating a project application. Global success rate minimally 65%. |
| 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 Economics | Study plan (Version): Engineering and Informatics (1) | Category: Economy | 2 | Recommended year of study:2, Recommended semester: Summer |