Information Package / Course Catalogue
Hr Analytical
Course Code: İK405
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

To gain knowledge and skills on how to handle the most appropriate decision making, increase efficiency and reduce costs by using big data about human resources. In this context, topics such as data mining, statistical model building and data processing will be explained through human resources applications.

Course Content

Decision trees will be created by analyzing big data in the human resources area using statistical methods such as R and Python.

Name of Lecturer(s)
Assoc. Prof. Didem TEZSÜRÜCÜ COŞANSU
Learning Outcomes
1.Gains knowledge of big data.
2.Understands that data analysis is important in effective management of human resources.
3.Gains analytical thinking skills.
4.Gains knowledge of the effectiveness of human resources practices.
5.Understands the role of big data.
Recommended or Required Reading
1.Marr, Bernard (2017) Büyük Veri İşbaşında 45 Yıldız Şirket Büyük Veriyi Nasıl Kullandı, MediaCat, İstanbul
Weekly Detailed Course Contents
Week 1 - Theoretical
Human Resources Analytics: Basic Concepts
Week 2 - Theoretical
HR Analytics: Methods and Software
Week 3 - Theoretical
Business intelligence
Week 4 - Theoretical
Decision Support Systems
Week 5 - Theoretical
Descriptive Analytics
Week 6 - Theoretical
Predictive Analytics
Week 7 - Theoretical
Decision Analytics
Week 8 - Theoretical
Descriptive Analytical Applications
Week 9 - Theoretical
Predictive Analytical Applications
Week 10 - Theoretical
Decision Analytics Applications
Week 11 - Theoretical
Decision Tree Applications
Week 12 - Theoretical
Analysis of Quitting Data
Week 13 - Theoretical
Analysis of Performance Management Data
Week 14 - Theoretical
Recruitment Analytics
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory132365
Individual Work130339
Midterm Examination120121
Final Examination125126
TOTAL WORKLOAD (hours)151
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
3
3
4
4
5
OÇ-2
OÇ-3
3
3
3
2
4
3
OÇ-4
OÇ-5
3
3
3
4
4
4
3
Adnan Menderes University - Information Package / Course Catalogue
2026