Code |
Name of the Course Unit |
Semester |
In-Class Hours (T+P) |
Credit |
ECTS Credit |
ISL425 |
BUSINESS ANALYTICS |
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 |
Prof. KAMİL KAYA |
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 |
CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES
KNOWLEDGE |
Theoretical |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students define the concepts they learned and match them with their corresponding phenomena in the social world.
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2 |
Students interpret concepts and theories taking into account their historical-cultural contexts.
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3 |
Students compare sociological theories with reference to social problems.
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4 |
Students distinguish the significance of ecological, social and economical sustainability for world’s future.
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5 |
Students develop their knowledge on sustainability by the use of information and communication technologies.
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KNOWLEDGE |
Factual |
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Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students evaluate qualitative and quantitative data of sociological research studies.
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2 |
Students analyse the complicated interactions between the social, cultural, political, economical and demographical phenomena of the global world.
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SKILLS |
Cognitive |
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Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students design a research by their acquired knowledge and experience.
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SKILLS |
Practical |
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Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students research field study considering the principle of cultural relativity, scientific and ethical values.
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2 |
Students efficiently apply the most suitable information and communication technologies in their studies.
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3 |
Students use their knowledge on ecological, social and economical sustainability in all aspects of their lives.
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OCCUPATIONAL |
Autonomy & Responsibility |
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Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students research on problems which reflect on their fields in the global world undergoing rapid and profound change.
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OCCUPATIONAL |
Learning to Learn |
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Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students criticize their advanced knowledge and skills in an analytical manner.
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2 |
Students develop their knowledge and skills within the frame of scientific, technological and current developments via adopting the principle of lifelong learning.
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3 |
Students act ethically impartial in their research studies.
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OCCUPATIONAL |
Communication & Social |
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Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students criticize their advanced knowledge and skills in an analytical manner.
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OCCUPATIONAL |
Occupational and/or Vocational |
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Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students apply the principle of cultural relativity, scientific and ethical values with reference to sustainability throughout their studies in their careers.
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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 |
|
Total Workload of the Course Unit |
125 |
|
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Workload (h) / 25.5 |
4,9 |
|
|
ECTS Credits allocated for the Course Unit |
5,0 |
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