Graduate Study - Faculty of Engineering and Natural Sciences
3+2 Information Technology Master

Code Name Level Year Semester
CEN 652 Business Intelligence Graduate 1 Spring
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Area Elective 7.5 3 64 English

Instructor Assistant Coordinator
Meliha HANDZIC, Prof. Dr. Meliha HANDZIC, Prof. Dr.
[email protected] no email

This subject introduces students to concepts and models of BI and the current state of BI research. It exposes students to research process and different approaches used in studying BI. It aims to equip research students with the skills to guide them through the key steps in designing, conducting and analyzing research in BI. , analyzing data and theory buiding.

  1. Course Introduction
  2. Case studies in BI: part 1 (evaluating a case study in BI)
  3. Case studies in BI: part 2 (conducting a case study)
  4. Case studies in BI: part 3 (data analysis – Descriptive stats)
  5. Assignment 1 presentations
  6. Experimental studies in BI: part 1 (evaluating an article)
  7. Experimental studies in BI: part 2 (designing an experiment)
  8. Experimental studies in BI: part 3 (data analysis – ANOVA)
  9. Assignment 2 – presentations
  10. Survey research in BI: part 1 (evaluating an article)
  11. Survey research in BI: part 1 (conducting a survey study)
  12. Survey research in BI: part 1 (data analysis –SEM)
  13. Assignment 3 – presentations
  14. Course Revision and Evaluation


    • Presentation
    • Seminar
    • Assignments
    • Other:Discussion
    Description (%)
    Method Quantity Percentage (%)
    +Class participation110
    Assignment1: Descriptive study in BI120
    Assignment2: BI Experiment130
    Assignment3: BI Survey analysis140
    Total: 100
    Learning outcomes
    • Professional Knowledge and Skills: -Understanding of the nature and process of research in BI -Knowledge of different approaches and methods used in BI research -Fundamental research skills in BI
    • Transferable skills and other atributes: -Oral and written presentation: ability to express ideas clearly and precisely -General skills in literature search and analysis, critical thinking and independent learning. -Group work: ability to participate in group discussions on a given subject -Social and ethical perspectives in research

      ECTS (Allocated based on student) WORKLOAD
      Activities Quantity Duration (Hour) Total Work Load
      Lecture (14 weeks x Lecture hours per week)48148
      Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)16116
      Midterm Examination (1 week) 0
      Final Examination(1 week) 0
      Preparation for Midterm Examination 0
      Preparation for Final Examination7.50
      Total Workload: 64
      ECTS Credit (Total workload/25): 3