Learning Outcomes

  1. Define basic concepts of databases
  2. Describe main parts of database management systems
  3. Explain principles of data modelling
  4. Explain and understand syntax and semantics of the SQL
  5. Explain and understand basic principles of database protection
  6. Apply the knowledge about data modelling to simple practical examples
  7. Use relational algebra and SQL in problem solving

Forms of Teaching


Students are presented with theoretical settings of selected topics intertwined with a multitude of practical examples.

Partial e-learning

Students have access to online tutorials designed to learn and master practical tasks.

Independent assignments

We encourage students to learn continuously by solving homework through a customized online platform.


In laboratory exercises, students solve practical assignments in which they apply the knowledge acquired in the course.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 30 % 0 % 0 %
Homeworks 0 % 4 % 0 % 0 %
Class participation 0 % 1 % 0 % 0 %
Mid Term Exam: Written 0 % 30 % 0 %
Final Exam: Written 22 % 36 %
Exam: Written 50 % 50 %
Exam: Oral 50 %

Week by Week Schedule

  1. Database architecture and data independence, Relational data models
  2. Relational data models, Relational algebra and relational calculus
  3. SQL (data definition, query formulation, update sublanguage, constraints, integrity), Selections, Projections, Select-project-join
  4. Aggregates and group-by, Subqueries
  5. Relational Database design, Functional dependency, Normal forms
  6. Decomposition of a schema; Lossless-join and dependency-preservation properties of a decomposition, Candidate keys, superkeys, Normal forms, Storage and file structure, Indexed files, The impact of indices on query performance, Hashed files, B-trees
  7. Mapping conceptual schema to a relational schema, Entity and referential integrity
  8. Midterm exam
  9. Triggers, Stored procedures
  10. Query optimization
  11. Principles of data modeling, Conceptual models (e.g., entity-relationship, UML diagrams)
  12. Transactions, Failure and recovery
  13. Security in database systems
  14. Concurrency control
  15. Final exam

Study Programmes

University undergraduate
Computing (study)
(4. semester)


(.), Materijali predmeta dostupni na fakultetskom intranetu,
(.), 1. J. D. Ullman, J. Widom (2008). A First Course in Database Systems, Prentice-Hall,
(.), 2. Abraham Silberschatz, Henry F. Korth, S. Sudarshan (2011). Database System Concepts, McGrawHill Education,
(.), 3. C.J. Date (2003). An Introduction to Database Systems, 8th Edition, Addison Wesley,
(.), 4. Thomas Connolly, Thomas M. Connolly, Carolyn E. Beg (2014). Database Systems, Addison-Wesley,
(.), 5. Robert Manger (2012). Baze podataka, Element,
(.), 6. Mladen Varga (2012). Upravljanje podacima, Element,

For students


ID 209652
  Summer semester
L2 English Level
L2 e-Learning
60 Lectures
8 Laboratory exercises

Grading System

87.5 Excellent
75 Very Good
62.5 Good
50 Acceptable