Course details

Database Systems (in English)

IDSe Acad. year 2024/2025 Summer semester 5 credits

Fundamentals of database systems (DBS). Conceptual modeling. The relational model. Relational database design from a conceptual model. Normalization-based design of a relational database. SQL language. Transaction processing. DBS architectures: client/server, multi-tier architectures, distributed DBS. Introduction to database administration: data security and integrity, introduction to physical database design, performance optimization, database recovery, concurrency control. Trends in database technology. Development of a database application in modern development and database environment.

Guarantor

Course coordinator

Language of instruction

English

Completion

Credit+Examination (written)

Time span

  • 39 hrs lectures
  • 13 hrs projects

Assessment points

  • 51 pts final exam (written part)
  • 15 pts mid-term test (written part)
  • 34 pts projects

Department

Lecturer

Instructor

Learning 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.
Student is able to develop conceptual models of an application domain for database applications. He/she can develop database applications for relational databases, knows the standard database language for relational databases SQL, and has experience with some integrated development environment for database applications.  and have knowledge of relational database management system fundamentals. He/she receives basic competencies for database administrator's work like user account creation, access rights assignment and performance tuning. Student acquaints with fundamentals of some important functions of advanced database system like transactional processing, concurrency and recovery. Student acquaints with basic English terminology in the subject.
Student will learn how to analyze a given problem in a small team and he/she will learn to design and implement solution of the problem individually. He/she learns to present and defend  both partial and final results of the project.

Recommended prerequisites

Prerequisite knowledge and skills

The sets, relations and mappings. The elementary notions of the graph theory. Basics of hashing and tree-based search. Basic steps of software development. Rudiments of programming and data modeling.

Study literature

  • Ramakrishnan R.: Database Management Systems. Third edition. McGraw-Hill Science/Engineering/Math, 2000, 1104 p.
  • Date C.J.: An Introduction to Database Systems. Seventh edition. Addison-Wesley, 2000, 838 p.
  • Lemahieu, W., Broucke, S., Baesens, B.: Principles of Database Management. Cambridge University Press. 2018, 780 p.
  • Oracle Database Documentation [online]. Redwood Shores, CA, USA: Oracle Corporation, 2021 [cit. 2021-12-23]. Available at: https://docs.oracle.com/en/database/oracle/oracle-database/

Fundamental literature

  • Silberschatz, A., Korth H.F, Sudarshan, S.: Database System Concepts. Sixth Edition. McGraw-Hill. 2010, 1320 p.

Syllabus of lectures

  1. Course Introduction, Introduction to Databases
  2. Database Analysis and Design, Conceptual Modelling and Entity-Relationship Diagram
  3. Relational Database Model
  4. Transformation of a Conceptual Model to a Relational Database Schema, Normalization
  5. SQL: Data Definition
  6. Relational Algebra and Calculus
  7. SQL: Select Statements
  8. SQL: Indices and Views
  9. Database Performance, Indexing and Hashing
  10. SQL: Database Triggers and Stored Procedures
  11. Database Transactions
  12. Database Security
  13. Architectures of Database Systems

Syllabus of computer exercises

  1. An Introduction to Oracle Database at BUT FIT
  2. Data Definition in Oracle Database and Introduction to SQL and PL/SQL
  3. Advanced Oracle SQL Queries
  4. Database Triggers, Stored Procedures, and Indexing in Oracle Database

Syllabus - others, projects and individual work of students

  1. Presentation of a conceptual model (ERD or a class diagram) and a use case model for a given problem (continuation of the project started in the subject Introduction to software engineering).
  2. An SQL script that creates and populates database tables.
  3. An SQL script with queries over the database tables.
  4. An SQL script with statements for advanced database objects and project documentation.

Progress assessment

  • Data and use case models - 5 points
  • Building of the database in SQL - 9 points 
  • Querying in SQL - 10 points
  • Advanced database objects and documentation - 10 points
  • Midterm written exam - 15 points
  • Final written examination - 51 points
  • For activities during the semester (except for the final exam), a student must earn at least 24 points for receiving the credit and thus for entering the exam.

Mid-term exam passing, realization and presentation/defence of projects in due dates.

Schedule

DayTypeWeeksRoomStartEndCapacityLect.grpGroupsInfo
Thu lecture 1., 2., 3., 6., 7., 9., 10., 11. of lectures C228 09:0011:5025 INTE xx Rychlý
Thu lecture 2025-04-03 M104 09:0013:5021 INTE xx Rychlý room replacement
Thu lecture 2., 10. of lectures C228 12:0013:5025 INTE xx Rychlý replacements for canceled classes
Thu comp.lab 6., 7., 9., 11. of lectures N203 12:0013:5020 INTE xx Rychlý
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