BUSINESS INTELLIGENCE PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
YBS320	BUSINESS INTELLIGENCE	5	3	3	5

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Elective
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assoc.Prof. BÜLENT İLHAN
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to introduce the latest developments in the world about big data concept and business intelligence applications, and to provide students with the necessary analysis skills.
Contents of the Course Unit:	Contents of the course include the subjects such as Business Intelligence, Data Mining, Web Mining, Text Mining, Business Intelligence Applications.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Know the appropriate methods of the business process for developing business intelligence.
Relate between business performance management and business intelligence.
Experiment web and text mining tools.
Apply the rules of association in business intelligence processes.
Design business processes with classification and clustering knowledge and skills.
Choose the appropriate methods for data reduction.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Introduction to Business Intelligence	Lecture & Discussion & Practice
2	Literature Review	Business intelligence and decision support systems / intelligent systems	Lecture & Discussion & Practice
3	Literature Review	Data warehouse and special database	Lecture & Discussion & Practice
4	Literature Review	Data Visualization and Reporting	Lecture & Discussion & Practice
5	Literature Review	Data Mining 1 (basic concept and process)	Lecture & Discussion & Practice
6	Literature Review	Data Mining 2 (statistics based techniques)	Lecture & Discussion & Practice
7	Literature Review	Data Mining 3 (techniques based on machine)	Lecture & Discussion & Practice
8	-	MID-TERM EXAM	-
9	Literature Review	Data Mining 4 (techniques based on intelligent systems)	Lecture & Discussion & Practice
10	Literature Review	Text Mining	Lecture & Discussion & Practice
11	Literature Review	Web Mining	Lecture & Discussion & Practice
12	Literature Review	Data Mining Practices	Lecture & Discussion & Practice
13	Literature Review	Business Performance Management	Lecture & Discussion & Practice
14	Literature Review	Developing and practicing in Business Intelligence process	Lecture & Discussion & Practice
15	Literature Review	Business Intelligence Practices	Lecture & Discussion & Practice
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Cagiltay, N. E. (2010). Is zekasi ve veri ambari sistemleri. ODTU Gelistirme Vakfi Publications.
Seker, S. E. (2013). Is zekasi ve veri madenciligi Cinius Publications.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Define the basic concepts of economics, administrative and human sciences. (Bloom 1)
2	Evaluate the economic environment and overall sustainability of firms. (Bloom 4)

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Relate principles and concepts of economics and finance with other disciplines. (Bloom 4)
2	Define principles, concepts, methods and theories related with economics and finance. (Bloom 1)

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Interpret the charts and tables related to the field. (Bloom 2)

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluate the theoretical models of economic policies which have direct or indirect effects by using the facts and dynamics of the economic system.(Bloom 4)
2	Analyze economic and financial reports. ((bloom 4)
3	Use basic mathematics, statistics and econometric methods and tools to solve economic and financial problems. (Bloom 3)
4	Interpret the operation of current economic, political and social events by using institutional information related with Economics and Finance.(Bloom 2)

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Organize economic and financial activities in humanitarian and social terms with adherence to ethics. (Bloom 4).

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Develop a critical perspective on national and international economic, political, social, financial and development problems. (bloom 6)

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Follow the agenda on economics, politics and social issues and improve himself/ herself. (bloom 6)

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Analyze current issues and problems by using the structure and properties of Macro and Microeconomics and variables. (Bloom 4)
2	Evaluate the effectiveness of the general economic system and public policies and their effects on markets and basic economic variables.(Bloom 4)
3	Analyze the cause and effect relationships between the relevant economic variables. (Bloom 4)
4	Evaluate the expected trends and portfolio analyzes in interest and exchange rates within the framework of the general financial system. (Bloom 4)

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	13	2	26
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	7	5	35
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	5	4	20
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	41	0	125