Type and level of studies: Undergraduate applied studies 


Status predmeta: Izborni

Broj ESPB: 7


Course objective

Introducing the students to the concept of types of management information systems (MIS) and the role of IT engineers in their development and implementation. A special emphasis is placed on defining, explaining and designing the phases of business intelligence, which implies that they are modeled based on business system management requirements, resulting in the creation of data storage, data integration, multidimensional data analysis, data mining and creating reports. These procedures are necessary in the contemporary business environment, where management information systems are used to increase profitability, market share, improve the service provided to clients, as well as improve the day-to-day business activities.

Course outcome

The students will learn the characteristics of, and differences between, online transaction processing – OLTP and online analytical processing – OLAP, the basics of business intelligence, the fundamentals of creating data storage and the ways of modeling activities in business systems using tools such as Microsoft SQL Server Data Tools (Data Warehouse, data integration, the ways of applying multidimensional analysis and creating reports), Data i Web mining, the types of decision support systems, the fundamentals of artificial intelligence, the purpose of neural networks and intelligent agents, the basics of Big Data, the creation of expert systems, the characteristics of executive information systems and the fundamentals of ERP system.

Course content

  Theoretical classes

  • The concept of method, methodology and model for information system creation and development
  • Commercial, alternative and contemporary methods for information system development
  • Introduction to ERP systems
  • Development, selection, implementation and cost of introducing ERP system into a business system
  • Advantages and disadvantages of ERP systems
  • The concept, characteristics and classification of business decisions
  • Business decision modeling
  • Introduction to decision support systems (DSS)
  • The structure and classification of decision support systems
  • User types and adequate MIS interfaces
  • Popular DSS software
  • Introduction to group decision support systems
  • The characteristics, classification and organizational levels of GDSS
  • GDSS shell
  • Introduction to business integration
  • Popular business intelligence software solutions
  • Introduction to types, structures and software tools for creating data warehouses
  • The concepts of OLTP and OLAP and their difference
  • OLAP architecture and types
  • The concept and characteristics of data mining and web mining
  • The concept, types and characteristics and executive information systems (EIS)
  • The modes of connecting and functioning of MIS, DSS and EIS
  • Popular EIS software solutions
  • Intelligent systems – introduction, concept and areas
  • The concept of intelligent agent and popular software examples
  • Expert systems – introduction, importance and classification
  • The structural elements and functioning of expert systems
  • The concept and examples of expert system shell
  • Big Data – concept, application and sources
  • Big Data processing technologies
  • The relationship between business intelligence and Big Data
  • New IT jobs and changes brought about by Big Data.

  Practical classes: Auditory exercises

  • Modeling data storage based on a known database and other data sources using  yED Graph Editor and Oracle Data Modeler software
  • Filling a data storage using Microsoft Visual Studio software and Integration Services Business Intelligence template within SSDT
  • Multidimensional data analysis using Microsoft Visual Studio software and Analysis Services Business Intelligence template within SSDT
  • Data mining using Microsoft Visual Studio software, Analysis Services Business Intelligence template within SSDT Orange visual programming software
  • Creating reports using Microsoft Visual Studio software and Reporting Services Business Intelligence template from SSDT
  • Creating and expert system using Expertise2Go shell and Weka