POLITICAL SCIENCE AND INTERNATIONAL RELATIONS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
COP4408	OBASE Business Intelligence	Spring Fall	3	0	3	5

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:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
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:	The course provides the student with an introduction to the basic and more advanced concepts of Business Intelligence and discusses the architectures of possible solutions.

Learning Outcomes

The students who have succeeded in this course;
1. Define basic concepts and categories of business intelligence and business intelligence market
2. Describe data warehouse architectures
3. Define relational models, construct normalized data models and identify queries to data sources with SQL.
4. Discuss case studies in terms of business intelligence concepts
5. Specify data mining and clustering methods
6. Describe neural networks
7. Define decision trees
8. Identify business intelligence front end applications
9. Prepare project presentations

Course Content

Concepts of business intelligence, data warehousing, rdbms concepts, modeling the dimensions and creating the aggregations, panel - case studies, introduction to data mining unsupervised methods, supervised methods, business intelligence front end

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Business Intelligence
2)	Data Warehousing
3)	RDBMS Concepts I
4)	RDBMS Concepts II
5)	Modeling the Dimensions and Creating the Aggregations
6)	Modeling the Dimensions and Creating the Aggregations
7)	Panel - Case Study: Migros
8)	Introduction to Data Mining Unsupervised Methods
9)	Introduction to Data Mining Unsupervised Methods
10)	Supervised Methods
11)	Supervised Methods
12)	Business Intelligence Front End
13)	Project Presentations
14)	Panel – Case Study: Turkcell

Sources

Course Notes / Textbooks:	Corporate Information Factory, W. H. Inmon, Claudia Imhoff, Ryan Sousa, 2001, 0471399612 Business intelligence : a managerial approach, E. Turban, R. Sharda, J.E. Arnsson, D. King, 2007, 013234761X The Data Warehouse Toolkit, R. Kimball, M. Ross, 1996, 0471153370
References:	Yok

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	1	% 10
Project	1	% 35
Midterms	1	% 15
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 25
PERCENTAGE OF FINAL WORK		% 75
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	3	5	15
Project	1	20	20
Midterms	1	18	18
Final	1	20	20
Total Workload			115

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)	Grasp basic theoretical and conceptual knowledge about the field and relations between them at the level of practice.
2)	Possess basic knowledge about the causes and effects of political transformations in societies.
3)	Possess knowledge about quantitative, qualitative and mixed research methods in social and behavioral sciences.
4)	Recognize historical patterns while evaluating contemporary political and social developments.
5)	Demonstrate interdisciplinary and critical approach while analyzing, synthesizing and forecasting domestic and foreign policy.
6)	Conduct studies in the field professionally, both independently or as a team member.
7)	Possess consciousness about lifelong learning based on Research & Development.
8)	Communicate with peers both orally and in writing, by using a foreign language at least at a level of European Language Portfolio B1 General Level and the necessary informatics and communication technologies.
9)	Apply field-related knowledge and competences into career advancement, projects for sustainable development goals, and social responsibility initiatives.
10)	Possess the habit to monitor domestic and foreign policy agenda as well as international developments.
11)	Possess competence to interpret the new political actors, theories and concepts in a global era.
12)	Evaluate the legal and ethical implications of advanced technologies on politics.