13E113BP1 - Databases 1

Course specification
Course title		Databases 1
Acronym		13E113BP1
Study programme		Electrical Engineering and Computing
Module		Computer Engineering and Informatics
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Miloš Cvetanović
Lecturer/Associate (for practice)		asst. MA Tamara Šekularac Obradović, electrical and computer engineer Matija Dodović, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. MA Tamara Šekularac Obradović, electrical and computer engineer Matija Dodović, electrical and computer engineer
ESPB		6.0	Status	mandatory
Condition		None
The goal		1. Introduce students to fundamentals and principles of DBMS. 2. Introduce the database design concepts. 3. Provide students with the ability to design and implement concrete data base and use commercially available DBMS.
The outcome		Students are capable to design and implement concrete data base and use commercially available DBMS.
Contents
URL to the subject page		http://rti.etf.bg.edu.rs/rti/bp1/index.html
Contents of lectures		Fundamentals and Principles of DBMS. Data Abstraction. Instances and Schemes. Data Independence. Data Models. DDL, DML. Entity-Relationship Model. Relational Data Model. Relational Algebra & Calculus, SQL. Optimization of Relational Queries. Object-Oriented Database Systems. Object-Relational Database Systems.Transaction processing. Validation techniques. Crash recovery. Commercial Systems.
Contents of exercises		Laboratory exercises: Design and implementation of concrete data base using commercially available DBMS.
Literature
Database System Concepts, A. Silberschatz, H. Korth, S Sudarshan, McGraw Hill International Edition, 2005. Database Systems:The Complete Book, H. Garcia-Molina, J.D.Ulman, J. Widom, Prentice Hall, 2002. Transaction management, M.Bojovic, Academic mind, 2003.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2	2	1
Methods of teaching		30 hours of lectures + 30 hours of supervised problem classes + 15 hours of supervised laboratory classes, midterm tests and project. Approximately 75 hours of personal study and exercise (3 hours per week during semester, and approximately 30 hours of preparation during exam term).
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	60
Practical lessons		10	Oral examination	0
Projects
Colloquia		20
Seminars		10