Database Systems

• 39 hrs lectures
• 13 hrs projects

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

• 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.
• The student will learn how to analyze a given problem in a small team and he/she will learn to design and implement a solution of the problem individually. He/she learns to present and defend both partial and final results of the project.

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.

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.

• Introduction to Software Engineering (IUS)

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 modelling.

• Lemahieu, W., Broucke, S., Baesens, B.: Principles of Database Management. Cambridge University Press. 2018, 780 p.
• Zendulka, J., Bartík, V.: Databázové systémy. Přednášky v elektronické podobě.
• Zendulka, J., Rudolfová, I.: Databázové systémy. IDS. Studijní opora. FIT VUT v Brně. 2006, 217 s.
• Silberschatz, A., Korth H.F, Sudarshan, S.: Database System Concepts. Sixth Edition. McGraw-Hill. 2010, 1320 p.
• On-line nápověda produktů Oracle, dokumentace dostupná na https://docs.oracle.com/en/database/oracle/oracle-database/18/development.html.

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

1. Fundamental concepts of database systems.
2. Conceptual modelling.
3. Fundamentals of the relational model. Transformation of a conceptual model to a relational database schema.
   Introduction the Oracle database, database tools. 
4. Introduction to normal forms, the use of normalization in database design.
5. The SQL - data definition.
6. The SQL - SELECT statement (fundamentals).
7. The SQL - SELECT statement (extension).
8. The SQL - other statements for data manipulation. System catalogue.
9. The SQL - views, missing information, embedded SQL, cursor, dynamic SQL. Query by example (QBE).
   Introduction to the PL/SQL language. 
10. The client/server architecture. Database triggers and stored procedures. Data integrity, data security.
11. Data organization at the internal level - indexing and hashing. Query processing and optimization.
    Query optimization, indexing and database transactions in Oracle.
12. Transaction processing - properties and states of  a database transaction. Introduction to failure recovery and concurrency control.
13. Current trends in database technology.

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.

• Data and use case models - 5 points
• Building of the database in SQL - 5 points 
• Querying in SQL - 5 points
• Advanced database objects and documentation - 19 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 the semester.
• The minimum number of points for the final examination is 20.

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

In the case of a reported barrier of the mid-term exam and to present/defend a project, a student will be offered a substitute date of the exam or an oral exam, and she/he will be allowed to present/defend the project in a substitute date, respectively.

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