|
|
Main menu for Browse IS/STAG
Course info
KIV / DBM1
:
Course description
Department/Unit / Abbreviation
|
KIV
/
DBM1
|
Academic Year
|
2023/2024
|
Academic Year
|
2023/2024
|
Title
|
DB Systems and Data Processing Methods 1
|
Form of course completion
|
Exam
|
Form of course completion
|
Exam
|
Accredited / Credits
|
Yes,
5
Cred.
|
Type of completion
|
Combined
|
Type of completion
|
Combined
|
Time requirements
|
Lecture
2
[Hours/Week]
Tutorial
2
[Hours/Week]
|
Course credit prior to examination
|
Yes
|
Course credit prior to examination
|
Yes
|
Automatic acceptance of credit before examination
|
No
|
Included in study average
|
YES
|
Language of instruction
|
Czech
|
Occ/max
|
|
|
|
Automatic acceptance of credit before examination
|
No
|
Summer semester
|
4 / -
|
9 / -
|
8 / 10
|
Included in study average
|
YES
|
Winter semester
|
0 / -
|
0 / -
|
0 / -
|
Repeated registration
|
NO
|
Repeated registration
|
NO
|
Timetable
|
Yes
|
Semester taught
|
Winter + Summer
|
Semester taught
|
Winter + Summer
|
Minimum (B + C) students
|
10
|
Optional course |
Yes
|
Optional course
|
Yes
|
Language of instruction
|
Czech
|
Internship duration
|
0
|
No. of hours of on-premise lessons |
|
Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
|
Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
|
Fundamental theoretical course |
No
|
Fundamental course |
Yes
|
Fundamental theoretical course |
No
|
Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
|
None
|
Preclusive courses
|
N/A
|
Prerequisite courses
|
N/A
|
Informally recommended courses
|
KIV/ZIS
|
Courses depending on this Course
|
N/A
|
Histogram of students' grades over the years:
Graphic PNG
,
XLS
|
Course objectives:
|
Mastering fundamentals of relational database theory and skill in using database technology at a level required for database design, development of database applications and database administration.
|
Requirements on student
|
Credit:
The deadline for obtaining credit is May 9, 2024.
Due to the continuous updating of the course, in order to obtain credit when re-enrolling the course (see SZŘ Article 24, paragraph 3), the consent of the guarantor of the course is required.
The deadline for obtaining credit is May 9, 2024.
|
Content
|
1. Data definition, basic modeling principles, structure and collection.
2. Advanced transactional models towards workflow. System integration.
3. The issue of big data processing.
4. Datawarehouse - introduction.
5. OLAP - multidimensional view of data, model, display of multidimensional view, data mining I.
6. OLAP - multidimensional view of data, model, display of multidimensional view, data mining II.
7. Data x information, semantics, ontology and semantic web - RDF I.
8. Data x information, semantics, ontology and semantic web - RDF II.
9. Virtualization.
10. Cloud computing, data centers.
11. Data Management Plan.
12. Legal framework of data processing, license.
|
Activities
|
|
Fields of study
|
|
Guarantors and lecturers
|
|
Literature
|
|
Time requirements
|
All forms of study
|
Activities
|
Time requirements for activity [h]
|
Contact hours
|
65
|
Preparation for an examination (30-60)
|
30
|
Graduate study programme term essay (40-50)
|
40
|
Total
|
135
|
|
Prerequisites
|
Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
The elementary notions of the database sysrems and information systems. |
|
Learning outcomes
|
Knowledge - knowledge resulting from the course: |
Student is able to develop conceptual models of an application domain for database applications. |
|
Assessment methods
|
Knowledge - knowledge achieved by taking this course are verified by the following means: |
Test |
Project |
Combined exam |
|
Teaching methods
|
Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Practicum |
|
|
|
|