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. HACER GÜLŞEN
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	Recognize the alphabets used by Turks in the historical process, especially Ottoman Turkish alphabet.
2	Recognize the distinguished examples of World Literature in the forms of verse and prose.
3	Defend the idea that Turkish literature has national and genuine cultural identity

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Use professional English to be able to benefit from international academic publications.
2	Act according to social, scientific, cultural and ethical values in all kinds of studies related to the field.
3	Examine the bibliography of the studies on Turkish Language and Literature according to countries and schools in written, printed and electronic media.

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Examine Turkish grammar in historical-comparative terms in terms of sound, form, syntax, semantics and vocabulary by using general linguistics methods and theories
2	Examine the course materials, research methods, information and theories used in Turkish Language and Literature Program.
3	Discuss the historical development of Contemporary Turkish Literature and the texts on the historical period and the cultural atmosphere.

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluate the knowledge and skills acquired in the field of Turkish language and literature with a critical approach and with the help of interdisciplinary information.
2	Use philosophy, sociology, law, economics, etc. and makes interdisciplinary interpretations.
3	Evaluate the new trends in World Literature especially in Contemporary Turkish Literature.

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Solve problems encountered in the field as individual and as member of a team.

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluate the knowledge and theories of Contemporary Literature in terms of literature and linguistics within the framework of certain theories.
2	Evaluate the extent to which Turkish Language and Literature is influenced by the civilization circles in which it is a part of.

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluates the fields of application of sustainability in the field of Turkish Language and Literature.
2	Research and study at the academic level.

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluate all subjects related to Turkish Language and Literature in the context of “The Integrity of Turkish Language and Literature".

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