Business Intelligence

Data is displayed for the academic year: 2024./2025.

Lecturers

Prof.
Ljiljana Brkić
PhD
Prof.
Igor Mekterović
PhD

Course Description

Dimensional Model, Data Warehouse Architecture, Reporting and Visualization Tools from Data Warehouse, Real-Time Data Warehouses, OLAP, ETL.

Prerequisites

Knowledge of the concepts of relational databases and the basic parts of the system for managing relational databases. Creation of simpler models of relational databases. Using the SQL query language.

Study Programmes

University graduate
[FER3-EN] Data Science - profile
Recommended elective courses (2. semester)

Learning Outcomes

  1. define the basic concepts of Business Intelligence and Data Warehouses
  2. apply the princples of DW modelling
  3. employ the basic ETL procedures
  4. operate the basic OLAP technologies
  5. employ basic BI tools
  6. produce a BI tool prototype

Forms of Teaching

Lectures

Students are presented with theoretical foundations of selected topics intertwined with practical examples.

Partial e-learning

Students have access to one online tutorials which serves as a reminder and crash course for required previus knowledge in SQL.

Independent assignments

Students individually work on their project through six homework assignments

Laboratory

Students discuss their own solutions to project tasks with subject teachers.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Seminar/Project 30 % 50 % 30 % 50 %
Mid Term Exam: Written 0 % 25 % 0 %
Final Exam: Written 30 % 25 %
Exam: Written 50 % 50 %

Week by Week Schedule

  1. Introduction, definitions, motivation
  2. Dimensional model
  3. Dimensional model, Data warehouse architecture, project
  4. Dimensional model, Data warehouse design, project
  5. Dimensional model, Data warehouse design, project
  6. Dimensional model, Data warehouse design, project
  7. Dimensional model, Data warehouse design
  8. Midterm exam
  9. Data visualization, project
  10. On-Line Analytical Processing, project
  11. ETL (Extract, transform and load)
  12. ETL (Extract, transform and load), project
  13. ETL (Extract, transform and load)
  14. Real-time Data Warehouses
  15. Final exam

Literature

(.), Ralph Kimball, Margy Ross: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling,
(.), Christopher Adamson: Star Schema The Complete Reference,

General

ID 223099
  Summer semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures
0 Seminar
0 Exercises
15 Laboratory exercises
0 Project laboratory
0 Physical education excercises

Grading System

87,5 Excellent
75 Very Good
62,5 Good
50 Sufficient

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