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	Assist.Prof. HABİBE GÜNGÖR
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	Explain the historical development process of Aviation Management
2	Use computer programs related to Aviation Transportation
3	Define basic concepts related with aviation management.

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Relate the information and facts in the field with other social sciences such as law, sociology, philosophy and history.
2	Classify the relationship between the basic functions of the business and the interactions between these functions.
3	Apply knowledge and skills related to his / her field by considering the legal aspect of occupational health and safety.
4	Explain the concepts of entrepreneurship and innovation with the field.

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Manage operational activities related to the airline.
2	Gain lifelong learning skills and use knowledge of the field in the business life with the awareness of social responsibility.

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Prepare written agreements with relevant institutions in accordance with the legislation.
2	Perform the theoretical and practical knowledge related to the field with appropriate analytical methods and modeling techniques in business life.
3	Cooperate with stakeholders related to air transport.
4	Develop the modern techniques and tools necessary for applications related to the field.
5	Manage all phases from planning to implementation of aviation operations as a member of a team.

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Execute a study in his/her field independently.
2	Decide as an individual or a team member to solve the problems encountered in applications related to the field.

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluate advanced knowledge and skills in his/her field with a critical approach.
2	Apply activities to improve his/her performance and his / her responsibility in line with the learning objectives by determining the learning needs.

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Communicate with people and institutions related to the field in writing and verbally.
2	Explain his/her thoughts on the issues related to the field and suggestions for solutions to the problems by the related departments by using supporting quantitative and qualitative data.
3	Organize projects and activities for the social environment with social responsibility consciousness and to be able to apply those.

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Manage airports and terminal operations efficiently using aviation and business information.

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