Course details

Database Systems (in English)

IDSe Acad. year 2023/2024 Summer semester 5 credits

Current academic year

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

Rychlý Marek, RNDr., Ph.D. (DIFS)

Course coordinator

Bartík Vladimír, Ing., Ph.D. (DIFS)

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

Department of Information Systems (UIFS)

Lecturer

Rychlý Marek, RNDr., Ph.D. (DIFS)

Instructor

Rychlý Marek, RNDr., Ph.D. (DIFS)

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, has experience with some integrated development environment for database applications, and has 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.

Why is the course taught

Since the 1960s, when data intensive applications and systems have been developed and used, typically information systems and their parts, database systems have been used to store data. Database technologies have evolved rapidly and are widely used today. It is, therefore, necessary for students to acquire competencies and skills in this field. This subject is focused on the basics of database technologies, namely relational databases that play a key role here.

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.

Technical equipment

Oracle Database Server, Oracle SQL Developer

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

  • An Introduction to Oracle Database at BUT FIT
  • Data Definition in Oracle Database and Introduction to SQL and PL/SQL
  • Advanced Oracle SQL Queries
  • Database Triggers, Stored Procedures, and Indexing in Oracle Database

Syllabus - others, projects and individual work of students

  1. Conceptual model (ERD)
  2. SQL script to create database in accordance with the conceptual model
  3. SQL script with at least four SELECT database queries and one view
  4. SQL script with at least one database trigger, one stored procedure or function, and one database index

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
  • To be allowed to sit for written examination student is  to present and defend project oucomes in due dates, and to earn at least 24 points during semester.

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

Exam prerequisites

To be allowed to sit for written examination student is present and defend project outcomes, and to earn at least 24 points during semester.

How to contact the teacher

lectures and labs

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