BUSINESS ANALYTICS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
BUS425	BUSINESS ANALYTICS	5	3	3	5

GENERAL INFORMATION
Language of Instruction :	English
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. GÜLŞEN FİLAZOĞLU ÇOKLUK
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course is designed to comprehend the processes of converting the increasing data densities into information in today's business world. This course aims to get students competent in the fields of editing, analysing, presentation and interpretation of data.
Contents of the Course Unit:	Contents of the course include basic concepts of Business analytic, methods used in business analytic and their application.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Define the concepts of business analytic.
Select the methods and software used in business analytic.
Apply in the fields of access to data and making them qualified.
Apply in the fields of editing and control of data.
Select the correct methods in management and analysis of data.
Interpret the analysis results of data.
Analyze the data.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Literature Review	Introduction to Business Analytic	Lecture & Discussion
2	Literature Review	Basic Concepts of Business Analytic	Lecture & Discussion
3	Literature Review	Methods used in Business Analytic	Lecture & Discussion
4	Literature Review	Data collection	Lecture & Discussion & Practice
5	Literature Review	Data organization	Lecture & Discussion & Practice
6	Literature Review	Data Management	Lecture & Discussion & Practice
7	Literature Review	Data Analysis – I	Lecture & Discussion & Practice
8	-	MID-TERM EXAM	-
9	Literature Review	Data Analysis – II	Lecture & Discussion & Practice
10	Literature Review	Data Analysis – III	Lecture & Discussion & Practice
11	Literature Review	Data Analysis – IV	Lecture & Discussion & Practice
12	Literature Review	Visualization of Data and Results of Analysis	Lecture & Discussion & Practice
13	Literature Review	Evaluation of Data and Results of Analysis	Lecture & Discussion & Practice
14	Literature Review	Reporting the Data and Results of Analysis	Lecture & Discussion & Practice
15	Literature Review	Term Practice	Lecture & Discussion & Practice
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Akar, C. (2018), Is Analitigi Excel Uygulamali Yonetsel Karar Verme ve Veri Analizi, Dora Publications
Albright, C.S., Winston, W.L. (2016), Business Analytics 6E: Data Analysis and Decision Making, Cengage Learning

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	Use information sources, including the most effective methods and current information related to psychology and auxiliary disciplines at a high level. (Bloom 3)
2	Identify problems in psychology and produce solutions. (Blooms 3)

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Distinguish normal and abnormal behaviors. (Blooms 2)
2	Interpret and report psychology research. (Bloom 3)

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Establish connections between psychology and other social sciences. (Bloom 4)

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Apply psychological tests. (Bloom 3).
2	Gain knowledge and skills about contemporary psychology theories and integrate this knowledge and skills to help individuals. (Bloom 6)
3	Conduct various experiments in the field of psychology. (Bloom 6)

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Collaborate with the necessary institutions and individuals in the field studies. (6)

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Integrate developments in psychology with existing knowledge. (Blooms 6)
2	Scientifically analyze human behavior. (Bloom 4)

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Express his/her knowledge and thoughts about the field in a fluent and understandable manner both written and verbally. (Bloom 2)
2	Recognize the individual, national and universal influences of problems in the field of psychology

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Integrate the knowledge of computer software, hardware and statistics required by the field of psychology. (blooms 6)
2	Survey the developments in information and communication technologies. (Bloom 4)
3	Support social projects related to psychology. (Blooms 5)

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	14	2	28
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	12	2	24
Assignment (Homework)	9	1	9
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	1	10	10
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	10	10
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	53	0	125