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. ÇAĞLA TUĞBERK ARIKER |
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 |
Define the theories, concepts and principles of the basic and sub-fields of business.
|
|
1 |
|
|
|
|
2 |
Explain business functions and processes based on current scientific sources.
|
|
|
|
3 |
|
|
KNOWLEDGE |
Factual |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Relate internationally valid business cases with the theories and concepts of other social sciences.
|
|
|
|
3 |
|
|
SKILLS |
Cognitive |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Explain the current events and facts in his / her field analytically and systematically based on advanced knowledge and skills he / she has.
|
|
|
|
|
4 |
|
SKILLS |
Practical |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Use the theoretical and factual knowledge in business for occupational practices.
|
|
|
|
|
|
5 |
2 |
Solve individual and organizational problems in business life.
|
|
|
|
|
|
5 |
3 |
Use computer programs (SPSS, R, Excel, Stata) efficiently against the complex business problems.
|
|
|
|
|
|
5 |
OCCUPATIONAL |
Autonomy & Responsibility |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Plan research and work using knowledge and skills gained in the field of business.
|
|
|
|
|
|
5 |
2 |
Organize the activities for organizational goals and purposes independently.
|
|
|
|
|
|
5 |
OCCUPATIONAL |
Learning to Learn |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Criticize advanced knowledge and skills in the field with a critical approach.
|
|
|
|
|
4 |
|
2 |
Develop the existing knowledge and skills with a critical point of view under the impact of scientific, technological and current developments.
|
|
|
|
|
4 |
|
OCCUPATIONAL |
Communication & Social |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Express his/her knowledge, thoughts and solutions on business to related stakeholders in written and verbal ways.
|
|
|
|
|
|
5 |
2 |
Use the information and communication technology software and equipment required for business.
|
|
|
|
3 |
|
|
OCCUPATIONAL |
Occupational and/or Vocational |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Apply the social, scientific, cultural and ethical values at the stages of collection of data, their implementation, interpretation and announcement of results in the field of business.
|
|
|
|
|
|
5 |
2 |
Relate the concepts of social rights, occupational safety, employee health, quality management and sustainability with the cases in business life.
|
|
|
|
|
|
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 |
|
Total Workload of the Course Unit |
125 |
|
|
Workload (h) / 25.5 |
4,9 |
|
|
ECTS Credits allocated for the Course Unit |
5,0 |
|