Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
SEN5550 Business Intelligence Fall 3 0 3 8
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. ADEM KARAHOCA
Course Lecturer(s): Prof. Dr. ADEM KARAHOCA
Recommended Optional Program Components: None
Course Objectives: Participants will describe the usage based on business intelligence, data mining, business intelligence methods will contribute, open-source and commercial develop business intelligence solutions, and application will be introduced.

Learning Outcomes

The students who have succeeded in this course;
1. Explain the concept of Business Intelligence
2. Increase dominance reporting tools
3. Describe the contributions of Data mining
4. Define how to use basic ETL tools.

Course Content

The content of this course is composed of introduction to business intelligence, database management systems, data warehouse models and architectures, data mining, preprocessing, driven methodology, guided algorithms and non-guided algorithms.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Business Intelligence
2) Database management systems – 1
3) Database management systems – 2
4) The data warehouse models and architectures - the application
5) Data warehouses Datamarts
6) Data Mining - 0 (preprocessing)
7) Data Mining - 0 (preprocessing) / Midterm
8) Data Mining - 1 (driven methodology and algorithms)
9) Data Mining - 2 (Guided algorithms continued)
10) Data Mining - 3 (non-guided algorithms)
11) Project Presentations – 1
12) Project Presentations – 2
13) Project Presentations – 3
14) Overall assessment and closing


Course Notes / Textbooks: Business Intelligence: Making Better Decisions Faster by Elizabeth Vitt, Michael Luckevich, Stacia Misner (2002)
References: Yok

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 5
Homework Assignments 2 % 10
Project 1 % 20
Midterms 1 % 25
Final 1 % 40
Total % 100
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Application 14 3 42
Study Hours Out of Class 14 3 42
Midterms 1 22 22
Final 1 41 41
Total Workload 189

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
Program Outcomes Level of Contribution
1) Understand and implement advanced concepts of Siber Security
2) Use math, science, and modern engineering tools to formulate and solve advenced siber security problems.
3) Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results.
4) Follow, interpret and analyze scientific researches in the field of engineering and use the knowledge in his/her field of study.
5) Work effectively in multi-disciplinary research teams.
6) Acquire scientific knowledge
7) Find out new methods to improve his/her knowledge
8) Effectively express his/her research ideas and findings both orally and in writing
9) Defend research outcomes at seminars and conferences
10) Demonstrate professional and ethical responsibility.