INFORMATION TECHNOLOGIES (ENGLISH, NON-THESIS)
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	Spring	3	0	3	8

Basic information

Language of instruction:	English
Type of course:	Must Course
Course Level:
Mode of Delivery:	Face to face
Course Coordinator :	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

Sources

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
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
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)	Uses basic Software Engineering knowledge and competencies.	3
2)	Applies the software development ability that is necessary for software engineering applications.	3
3)	Uses data structures and applies information about algorithm development.	2
4)	Develops system programs on operating systems.	2
5)	Defines computer organization, design and architectures.	2
6)	Creates the structure of computer networks and network security.	2
7)	Uses business intelligence, data mining and data analysis tools, applies techniques about them.	3
8)	Develops database applications and WEB based programs.	4
9)	Defines, analyzes, designs and manages information technologies projects.	3
10)	Uses and develops technology-based environments and tools in education.	3
11)	Detects, identifies and solves information technology needs of the business environment.	3
12)	Uses the capabilities of information technologies within the rules of professional responsibility and ethics.	4