Subject: Data Management (17.IMS361 )
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Specialised Academic Studies | Engineering Management (Year: 1, Semester: Summer) |
The course provides students with an overview of the key concepts for establishing a comprehensive data management strategy for an organization, ensuring that its operational and analytical needs are efficiently, effectively, and securely addressed. It reviews the data management challenges organization confront with and how data management and analytics is used to help make sound management decisions.
This course will examine the underlying principles and technologies needed to structure and capture data, validate and clean it, contextualize it, store it, access it, and use it safely and securely. Students will gain an understanding of: database systems and database design principles, relational database management systems and Structured Query Language; data analytics and visualization and how managers use analytics to formulate and solve business problems and to support managerial decision making.
Key concepts of data, information, knowledge and database. Data life cycle. Fundamentals of data modeling. Conceptual, implementational and physical database design. Fundamentals of relational database management systems. Understanding and creating core database objects. Foundations of Structured Query Language: queries, views, constraints, and optimization. The data warehouse – basic concepts. An integration of data from different sources. Structured, semi-structured and unstructured data. Interpretation the business significance of the data and generating reports on the data, including appropriately constructed graphics and histograms that illustrate important features of the data. Data Quality. Data safety and security. Big data systems – opportunities and challenges.
Lectures; laboratory exercises; individual consultations; team work on the design of conceptual data base schema; individual work (assignments). Students are encouraged to communicate, to reason critically, to work independently and to contribute actively to teaching process.
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 2015 | English | |||
| 2014 | English | |||
| 2015 | English |
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Oral part of the exam | No | Yes | 10.00 |
| Test | Yes | Yes | 10.00 |
| Complex exercises | Yes | Yes | 30.00 |
| Complex exercises | Yes | Yes | 20.00 |
| Test | Yes | Yes | 10.00 |
| Written part of the exam - tasks and theory | No | Yes | 20.00 |
Prof. Mirković Milan
Full Professor
Lectures
Asst. Prof. Stefanović Miroslav
Assistant Professor
Computational classes
Faculty of Technical Sciences
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Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.