Course Name Code Semester T+U Hours Credit ECTS
Human Resources Analytics IKY 519 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Compulsory
Course Coordinator Prof.Dr. ŞUAYYİP ÇALIŞ
Course Lecturers Prof.Dr. ŞUAYYİP ÇALIŞ,
Course Assistants
Course Category
Course Objective
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
Week Course Topics Preliminary Preparation
1 HR Analytics: Introduction
2 HR Analytics: Methods abd Software
3 Business Intelligence
3 Bi Data
4 Decision Support Systems
5 Descriptive Analytics
6 Predictive Analytics
7 Prescriptive Analytics
8 Descriptive Analytics Examples
9 Predictive Analytics Examples
10 Prescriptive Analytics Examples
11 Data Mining
12 Data Visualisation
14 Decision Tree Examples
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Learn the importance of HR practices for an organisation
2 Grasp that workers are one of the most important values for an organisation
3 Obtain comprehensive theoretic knowledge in HRM field and gets skills to use that knowledges in practice
4 Learn the HRM process in detailed way
5 Learns HRM process closely via case studies
6 Gets skills to analysis matters in different ways
7 Learns that organisation is not a mechanical structure but a social one.
8 Grasps the importance of professional and ethical values
9 Learns the latest developments of HRM fields and the ways of learning the latest develpments
10 Learns the scientific principles for producing knowledge in HRM field
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Ödev 20
2. Ödev 20
3. Ödev 20
Total 100
1. Final 40
1. Yıl İçinin Başarıya 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Total Workload 0
Total Workload / 25 (Hours) 0
dersAKTSKredisi 6