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A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.

BIE-DBS Database Systems Extent of teaching: 3L
Instructor: Completion: Z,ZK
Department: 18102 Credits: 6 Semester: Z,L

Annotation:
Students are introduced to the database engine architecture and typical user roles. They are briefly introduced to various database models. They learn to design small databases (including integrity constraints) using a conceptual model and implement them in a relational database engine. They get a hands-on experience with the SQL language, as well as with its theoretical foundation - the relational database model. They learn the principles of normalizing a relational database schema. They understand the fundamental concepts of transaction processing, controlling parallel user access to a single data source, as well as recovering a database engine from a failure. They are briefly introduced to special ways of storing data in relational databases with respect to speed of access to large quantities of data. This introductory-level module does not cover: Administration of database systems, debugging and optimizing database applications, distributed database systems, data stores.

Lecture syllabus:
1. Bulk data processing concepts. DBMS architecture. Functions of individual components.
2. Data abstraction. Conceptual, database and physical level data model.
3. Conceptual data model. Basic constructs, integrity constraints.
4. Overview of database models - network, relational, object-relational and object-oriented model.
5. Relational data model. Relations, attributes, domains, relational database schema, DDL SQL.
6. Expressing integrity constraints through functional dependencies. Normal forms of relations.
7. Database query languages. Relational algebra, SQL.
8. [2] SQL: DDL, DCL, DML, TCL.
9. Relational schema design. Normalization using decomposition. Decomposition quality criteria.
10. Relational database schema design using a direct transformation from a conceptual schema.
11. Transactions, error recovery, concurrency control, data security and integrity.
12. Physical data model, tables as heaps, Rowid direct access, B* tree type index, bitmap index, indexed cluster, hashed cluster.

Seminar syllabus:
1. Seminar: Introduction, project assignment.
2. Computer lab: Introduction to the environment and the tools.
3. Seminar: Conceptual data modeling.
4. Computer lab: SQL communication with a database engine, working with a conceptual modeler.
5. Seminar: Conceptual data modeling, relational algebra as a query language.
6. Computer lab: Working on projects, consultations.
7. Seminar: Relational algebra as a query language.
8. Computer lab: Working on projects, consultations.
9. Seminar: SQL.
10. Computer lab: Working on projects, consultations, project checkpoint.
11. Seminar: SQL.
12. Computer lab: Working on projects, presentations.
13. Seminar: Normalization of a schema, functional dependencies.

Literature:
1. BIE-DBS Lectures and presentations (Ing. J. Pavlicek, Ph.D, Ing. Michal Valenta Ph.d, Ing Yellena Trofimova)
2. Ramakrishnan, R., Gehrke, J. ''Database Management Systems''. McGraw-Hill Education Singapore, 2002. ISBN 0071230572.

Requirements:
Common user-level knowledge of Unix/Linux and MS Windows operating systems, ability to describe a solution to a problem algorithmically, and elementary knowledge of algebra and logic are expected. Active knowledge of a specific programming language is not required.

Information about the course and courseware are available at https://courses.fit.cvut.cz/BIE-DBS/

The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester
BIE-BIT.2015 Computer Security and Information technology (Bachelor, in English) PP 2
BIE-TI.2015 Computer Science (Bachelor, in English) PP 2
BIE-WSI-SI.2015 Software Engineering (Bachelor, in English) PP 2
BIE-TI.2015_ORIGINAL Computer Science (Bachelor, in English) PP 3


Page updated 28. 3. 2024, semester: Z/2023-4, L/2019-20, L/2022-3, Z/2019-20, Z/2022-3, L/2020-1, L/2023-4, Z/2020-1, Z,L/2021-2, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška