Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Advanced Data Models and Database Systems (17.IISD14)

Native organizations units: No data

Type of studies	Title
Doctoral Academic Studies	Industrial Engineering / Engineering Management (Godina: 1, Summer)
Doctoral Academic Studies	Information Systems Engineering (Godina: 1, Summer)
Doctoral Academic Studies	Industrial Engineering / Engineering Management (Godina: 1, Summer)
Doctoral Academic Studies	Occupational Safety Engineering (Godina: 1, Summer)
Doctoral Academic Studies	Information Systems Engineering (Godina: 1, Summer)

General information:

Category	Scientific-professional
Scientific or art field	Information-Communication Systems
Interdisciplinary	No
ECTS	10

Educational goal:

Introducing students to advanced data models, database systems and formal methods for database representation, management and integration. Enabling students: to engage in actual projects in the field of database systems and to independently solve theoretical and practical problems, to understand and to use contemporary knowledge, to be able to follow contemporary achievements, to be independent and creative, to connect knowledge from various fields and to apply it, and to solve problems in the field of data models and database systems using scientific methods.

Educational outcome:

Understanding the contemporary data models and database systems and acquiring knowledge and skills required for the use of advanced methods and techniques for database design, implementation, exploitation, migration, integration and re-engineering. Enabling students to critically analyze the adequacy of the application of existing methods, techniques and tools, to find the directions and ways of possible improvement of existing ones, or to develop, independently or in the team, new methods, techniques and tools in the research field of the data models and data management systems. Researching the literature, students are introduced to the latest knowledge in research field, to methods for solving similar or new problems and with scientific approaches in their solving in the research field of data models and database systems.

Course content:

Contemporary data models and database systems and their development trends. Distributed databases. The integration of data from different sources. Data warehouse systems. XML databases. Spatial databases. Temporal databases. NoSQL databases. Embedded databases. Big data Systems. Innovative Data Models and Data Integrity in Big Data and NoSQL Systems. Case studies for the application of contemporary data models and database systems.

Teaching methods:

Teaching activity depends on the number of listeners, i.e. mentor or group approach. During the course, students are required to prepare a project and its defense. The students and the teachers meet on a regular basis with the goal of training the student to conduct research and publish in the chosen area.

Literature:

Authors	Title	Year	Publisher	Language
Malinowski E., Zimányi E.	Advanced Data Warehouse Design; From Conventional to Spatial and Temporal Applications	2008	Springer	English
Sharda, R., Delen, D., Turban, E.	Business Intelligence, Analytics and Data Science - A Managed Perspective	2017	Pearson, New York	English
Elmasri, R., Navathe, S.B.	Database Systems Models, Languages, Design and Application Programming	2010	Pearson, Boston	English
Date C.J.	View Updating and Relational Theory: Solving the View Update Problem	2013	OReilly Media	English
Kutsche R-D., Milanovic N.	Model-Based Software and Data Integration; First International WS, MBSDI 2008, Berlin, Germany, April 2008	2008	Springer	English
K.-Y. Whang; P.A. Bernstein; C.S. Jensen	The VLDB Journal; The International Journal on Very Large Data Bases	2009	Springer	English
Rick Sherman	Business Intelligence Guidebook - From Data Integration to Analytics	2014	Morgan Kaufmann	English
Date C.J., Darwen H., Lorentzos N.	Time and Relational Theory: Temporal Databases in the Relational Model and SQL 2/E	2014	Morgan Kaufmann	English
Steven S. Skiena	The Data Science Design Manual	2017	Springer	English
Akmal B. Chaudhri Awais Rashid Roberto Zicari	XML Data Management: Native XML and XML-Enabled Database Systems	2003	Addison-Wesley	English
Borgman, C. L.	Big Data, Little Data, No Data: Scholarship in the Networked World	2015	Cambridge MA: MIT Press	English
Kashyap V., Bussler C., Moran M.	The Semantic Web; Semantics for Data and Services on the Web	2008	Springer	English