Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Data Management (17.IMS322)

Native organizations units: No data

Type of studies	Title
Specialised Academic Studies	Engineering Management (Godina: 1, Summer)

General information:

Category	Professional-applicative
Scientific or art field	Ljudski resursi i komunikacije
Interdisciplinary	Yes
ECTS	5

Educational goal:

The goal of the course is to master basic knowledge and technologies for data management, which will enable students to develop competencies in the field of prediction of changes and patterns of behavior based on the system within the data warehouse. Students will be presented data models, data management technologies, data storage and engineering of structured and unstructured data stored within the organization or through cloud computing.

Educational outcome:

The student will acquire knowledge necessary to analyze and use both structured and unstructured data using technological solutions, tools and methodologies while understanding the data management model. Academic Specialist in Engineering Management for Digital Transformation will develop competencies for engineering and business planning based on data and methodologies for data management.

Course content:

Data world. Structures and databases. Methods of data analysis. The science of data management in practice. Visualization of data. Data analysis. Machine learning. Visualization of data in business. Research design in the science of data management. Experimental models of data analysis and modeling. Data storage and processing. Data security. Prediction and projections in data management. Using predictive analysis in solving real business problems. The future of data management.

Teaching methods:

Teaching methods include lectures, lectures with examples, lectures of visiting lecturers and experts, simulation and modeling of communication strategies for a sustainable business. Exercises are created to encourage individuality, originality and innovativeness of students through mastering teamwork methods in data management projects, presenting and analyzing case studies, creating scenarios.. Exercises are partially implemented with a computer.

Literature:

Authors	Title	Year	Publisher	Language
Вујовић-Ђермановић, Д и Лалић, Д	Принципи науке о управљању подацима - модели и примена, скрипта	2018	Fakultet tehničkih nauka, Novi Sad	Serbian language
Grus, J	Data science from scratch - First principles with Python	2019	O Reilly Media	English