1001 Business Intelligence In Administration

1001 Business Intelligence In Administration

  • Study programme and level: Master’s joint study programme Management in Administration 2nd Cycle
  • 2nd year
  • 7 ECTS
  • Course type: proffesional elective
  • Lectures: 21
  • Seminar: 11
  • Other study activities: 118
  • Individual work: 60
  • Language: English, Serbian, Slovene
  • Lecturer: Ljupčo Todorovski, PhD, Boris Delibašić, PhD

 

1. Content (Syllabus outline)

  • Introduction to business intelligence
  • Data warehouses
  • Data analysis with OLAP approaches
  • Balanced scoreboards
  • Decision support
  • Multiparameter decision models
  • Data mining and knowledge discovery from data
  • Exploratory data analysis with data mining methods
  • Application of business intelligence in administration

2. Readings

  • Turban, E., Aronson, J.E., Liang, T., Sharda, R.: "Decision Support and Business Intelligence", Pearson Prentice Hall, 2007
  • Vitt E., Luckevic M., Misner S.: "Business Intelligence", Microsoft Press, 2002
  • Ćirić, B.: "Poslovna inteligencija", Data Status, Beograd, 2006
  • Todorovski, L., Bečejski-Vujaklija D.: Handout-i sa predavanja. Beograd, FON, 2006
  • Benson, R. Bugnitz T., Walton, W.: "From Business Strategy to IT Action", John Wiley & Sons, 2004
  • McNurlin B., Sprague R.: "Information Systems Management in Practice", Pearson Prentice Hall, 2004

3. Objectives and competences

Objectives – student:

  • understands concepts of and approaches to business intelligence
  • estimates, checks, and evaluates the usability (applicability) of business intelligence for solving practical problems in administration
  • analyzes and compares applicability of different approaches to business intelligence in a given administration or management context

Competences:

  • ability to develop and use data bases and data architectures in organizations
  • ability to apply and manage different methods and techniques for establishing information systems
  • ability to adapt and apply business intelligent tools in a given public administration context
  • ability to discover and formulate practical business intlligence problmes in the domains of administrative sciences and management

 

4. Intended learning outcomes:

Student will be able to:

  • understand concepts of and approaches to business intelligence and understand their role in the management systmes and organizations
  • design new solutions to practical problems based on approaches to and software tools for business intelligence
  • analyze and compare examples and show-cases of business intelligence applications

 

5. Learning and teaching methods:

  • Lectures
  • Seminars
  • Analysis and comparison of show-cases
  • Individual work and tutorship
  • Seminar work and presentation

 

6. Assessment

Seminar work: preparation and presentation 70%
Oral or written exam 30%