Subject

Databases

1. Course Title Databases
Databases
2. Code F23L3W004
3. Study Programme Application of Information Technologies, Software Engineering and Information Systems, Computer Science, Computer Engineering, Internet, Networks and Security, Information Literacy Education, Software Engineering and Information Systems, Bioinformatics
4. Organizer of the study programme (unit, institute, department or division) Faculty of Computer Science and Engineering
5. Degree level (first, second, third cycle) First Cycle
6. Academic year / semester 5 / Winter
7. Number of ECTS credits 6
8. Teacher Eftim Zdravevski, Georgina Mircheva, Goran Velinov, Kire Trivodaliiev, Slobodan Kajaldjiski, Sonja Gievska, Vangel Ajanoski
9. Prerequisites for enrolling in the course Algorithms and Data Structures or Applied Algorithms and Data Structures
10. Objectives of the course programme (competences) Familiarizing the student with the basic concepts of working with databases, methods for their modeling and implementation, as well as working with query languages. The student will be able to model databases using semantic and relational modeling and the normalization process, and will know how to practically apply the SQL standard to create, maintain, and manipulate relational databases. The student will have knowledge of the basic concepts of concurrency and transactions.
11. Course content (2) Physical organization of data (structures and indexes)
(1) Introduction to SUBP
(2) Real-world model (P-ER diagrams)
(1) Relational data model
(2) Relational algebra and relational calculi
(2) Introduction to SQL - DDL and DML expressions
(1) Advanced Use of SQL
(1) Functional dependencies and normalization of BP
Introduction to Competitive Work and Transactions
12. Learning methods Lectures using presentations, interactive lectures, exercises (using equipment and software packages), teamwork, case studies, guest lectures, independent preparation and defense of a project assignment and a seminar paper.
13. Total available time 6 ECTS x 30 hours = 180 hours
14. Distribution of available time 30 + 60 + 10 + 10 + 70 = 180 hours
15. Forms of teaching activities
15.1. Lectures - theoretical instruction 30 hours
15.2. Exercises (laboratory, auditory), seminars, teamwork 60 hours
16. Other forms of activities
16.1. Project assignments 10 hours
16.2. Independent assignments 10 hours
16.3. Home study 70 hours
17. Assessment method
17.1. Tests 10 points
17.2. Seminar paper / project (presentation: written and oral) 10 points
17.3. Activities and learning 10 points
17.4. Final exam 70 points
18. Grading criteria (points / grade)
up to 50 points5 (five) (F)
from 51 to 60 points6 (six) (E)
from 61 to 70 points7 (seven) (D)
from 71 to 80 points8 (eight) (C)
from 81 to 90 points9 (nine) (B)
from 91 to 100 points10 (ten) (A)
19. Requirement for obtaining a signature and taking the final exam Activities 15.2 and 16.1 have been completed.
20. Language of instruction Macedonian and English
21. Method for monitoring the quality of teaching internal evaluation and survey mechanism
22. Literature
22.1. Required literature
1. Ramez Elmasri, Shamkant B. Navathe | Fundamentals of Database Systems | Pearson | 2015
2. Héctor García-Molina, Jeffrey Ullman, and Jennifer Widom | Database Systems: The Complete Book | Pearson | 2008
3. Christopher J. Date | An Introduction to Database Systems | Pearson | 2003
4. Avi Silberschatz, Henry F. Korth, S. Sudarshan | Database System Concepts, Seventh Edition | McGraw-Hill | 2019
22.2. Additional literature
No. Author Title Publisher Year