548-0018/04 – Database Management Systems Applications (ASRBD)
Gurantor department | Department of Geoinformatics | Credits | 3 |
Subject guarantor | prof. Ing. Jiří Horák, Dr. | Subject version guarantor | prof. Ing. Jiří Horák, Dr. |
Study level | undergraduate or graduate | Requirement | Choice-compulsory |
Year | 2 | Semester | summer |
| | Study language | English |
Year of introduction | 2016/2017 | Year of cancellation | 2022/2023 |
Intended for the faculties | HGF | Intended for study types | Follow-up Master, Bachelor |
Subject aims expressed by acquired skills and competences
The aim of the subject is to get acquainted students how to solve selected tasks of data analysis, to design some special data structures (OLAP, etc.), analyse given situation and to propose effective procedures of processing.
Teaching methods
Individual consultations
Tutorials
Project work
Summary
Data modelling. Functional dependency, relation scheme design, normalisation
process. CASE modelling. ODBC. Data import, data processing, data export.
Exploratory data analysis in DB environment. User definition and access rights. Forms development. reports development. Macros, programming modules. Case study in powerful RDBMS.
Compulsory literature:
Recommended literature:
PONNIAH P.: Database design and development. Wiley, 2003.
Way of continuous check of knowledge in the course of semester
Students are asked about knowledge from areas that they should have already known from previous lectures. Students also work on individual tasks. Tasks are frequently based on understanding of previous, simpler tasks.
E-learning
Other requirements
No additional requirements are imposed on the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1) Data modelling.
2) Functional dependency, relation scheme design, normalisation process.
3) Database design principles.
4) Data import, data processing, data export.
5) CASE modelling, application.
6) Exploratory data analysis in DB environment.
7) User definition and access rights.
8) Programming modules.
9) Case study
10) Principles of data design and processsing in large DBMS.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.