| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Master's Degree Without Thesis |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | Associate Professor Nurcan Alkış Bayhan
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Will be able to design data warehousing systems
2) Will be able to write queries in data warehousing systems
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | |
| COURSE DEFINITION | Business intelligence is a set of theories, methodologies, architectures, and technology that integrates and transforms raw data of an organisation from multiple sources into meaningful and useful information that supports better business decision making. In this course, these teories, methodologies, architectures and technologies will be presented. |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Business intelligence: overview | | 2nd Week | Business intelligence and decision making process | | 3rd Week | Business intelligence approaches | | 4th Week | Data warehousing architectures | | 5th Week | Data warehousing conceptual model | | 6th Week | Data cubes | | 7th Week | Queries | | 8th Week | Midterm | | 9th Week | Data mining | | 10th Week | Text mining | | 11th Week | Web mining | | 12th Week | Modeling and analysis | | 13th Week | Business analytics | | 14th Week | Presentations |
|
| RECOMENDED OR REQUIRED READING | Ramesh Sharda, Dursun Delen, Efraim Turban. Business Intelligence and Analytics: Systems for Decision Support (10th Edition) |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Presentation |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 30 | | Assignment | 1 | 15 | | Presentation of Article | 1 | 15 | | Total(%) | | 60 | | Contribution of In-term Studies to Overall Grade(%) | | 60 | | Contribution of Final Examination to Overall Grade(%) | | 40 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 3 | 3 | | Preparation for Quiz | | | | | Individual or group work | 14 | 5 | 70 | | Preparation for Final exam | 1 | 65 | 65 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 65 | 65 | | Laboratory (including preparation) | | | | | Final exam | 1 | 3 | 3 | | Homework | 1 | 40 | 40 | | Presentation (including preperation) | 1 | 23 | 23 | | Total Workload | | | 311 |
|---|
| Total Workload / 30 | | | 10,36 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
