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.21 Database Systems Extent of teaching: 2P+2R+1L Instructor: Pavlíček J. Completion: Z,ZK Department: 18102 Credits: 5 Semester: L Annotation:
Students get acquainted with the architecture of the database engine and typical user roles. They learn to design the structure of a smaller data store (including integrity constraints) using a conceptual model and then implement them in a relational database engine. They get acquainted with the SQL language and also with its theoretical basis - relational database model. They will get acquainted with the principles of relational database schema normalization. They understand the basic concepts of transaction processing and control of parallel user access to a single data source. At the end of the course, students will be introduced to alternative nonrelational database models.
Lecture syllabus:
1. Basic principles of database systems, architectures of database management systems. 2. Conceptual, database, and physical level of view of data. 3. Conceptual data model. Basic constructs, expression of integrity constraints. 4. Relational data model. Relation, attributes, domains, relational database schema, relational algebra. 5. Introduction to the SQL language: basics of the SELECT statement, basics of the SQL DDL. 6. Design of a relational scheme by direct transformation from a conceptual scheme. 7. The SQL language - advanced querying: aggregation, nested queries, set operations. 8. The SQL language: parts DCL, DML, TCL. 9. Transactions, error recovery, parallel access coordination, data protection. 10. Functional dependencies, normal forms of relations, normalization of a relational scheme by decomposition. 11. Physical level of view of data. Indexes and their use in relational databases. Basics of SQL query optimization. 12. Nonrelational database models. Trends in databases. 13. Access of applications to a (relational) database. Introduction to the concept of software engineering. 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. Coronel C., Morris S. : Database Systems: Design, Implementation, and Management (13th Edition). Cengage Learning, 2018. ISBN 978-1337627900. 2. Garcia-Molina H., Ulman D. J., Widom J. : Database systems: The Complete Book (2nd Edition). Pearson Education, 2009. ISBN 978-0131873254. 3. Harrington J.L. : Relational Database Design and Implementation (4th Edition). Morgan Kaufmann, 2016. ISBN 978-0128043998. Requirements:
Entry knowledge: 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-PI.21 Computer Engineering 2021 PP 2 BIE-PV.21 Computer Systems and Virtualization 2021 PP 2 BIE-PS.21 Computer Networks and Internet 2021 PP 2 BIE-TI.21 Computer Science 2021 PP 2 BIE-SI.21 Software Engineering 2021 PP 2 BIE-IB.21 Information Security 2021 (Bachelor in English) PP 2
Page updated 18. 4. 2024, semester: L/2020-1, L/2023-4, L/2019-20, Z/2021-2, L/2022-3, Z/2023-4, Z/2019-20, Z/2022-3, L/2021-2, Z/2024-5, Z/2020-1, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška