Course Code: | MNG034 | ||||
Course Name: | Digital Human Resources and Data Analytics | ||||
Semester: |
Fall |
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Course Credits: |
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Language of instruction: | English | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Departmental Elective | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator: | Dr. Öğr. Üy. FATİH KİRAZ | ||||
Course Lecturer(s): |
Öğr. Gör. STAFF 1 Dr. Öğr. Üy. FATİH KİRAZ |
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Course Assistants: |
Course Objectives: | Providing the students with; new technology/applications related to Human Resources and the ability to work with data |
Course Content: | Literature Survey, Real Business Cases, HR Metrics and Reporting, HR Business Analytics Applications, Reporting Techniques, Data Visualization, Basic Statistical Analysis, Data Applications, Data Analytics Applications |
The students who have succeeded in this course;
1) Learning the recent technologies utilized in HR 2) Gaining experience in Data Analysis and Reporting 3) To be able to use Business Analytics solutions in HR |
Week | Subject | Related Preparation |
1) | • HR Info Systems • HR Applications in Digital World • Digital Examples from World and Turkey • The Relationship between Reporting and Strategy • The differences between HR Metrics and KPIs • Global HR KPI Set in HR | |
2) | • HR Reporting and Measurement • Most Common HR Metrics • Analysis of Saratoga Criteria • Case Studies | |
3) | • HR Dashboard Reporting Activity • Descriptive Analytics in HR • Reporting Techniques with D.E.F.O Method • Application: HR Monthly Reporting | |
4) | • Big Data and HR • Analytics 1.0, 2.0 and 3.0 • HR Reporting Examples • Difficulties experienced by the firms in Data Consolidation • HR Dimension and Fact Activity • Monthly, Quarterly, Annual HR Reporting | |
5) | • HR Business Analytics - Microsoft PowerBI | |
6) | • HR Data Visualization | |
7) | HR Reporting Presentation to Top Management | |
8) | • Basic HR Statistical Analyses | |
9) | • AI and HR Case Studies • IOT utilization in HR | |
10) | • Correlation, Distribution, Histogram and their utilization in Business applications | |
11) | • Data Analytics in HR • Decision Support systems in HR | |
12) | • Robotic Process Automation (RPA) Concepts • RPA utilization examples in HR | |
13) | • Workforce Analytics | |
14) | • An HR Analytics example with R programming language | |
15) | Final exam |
Course Notes / Textbooks: | Öğretim elemanı tarafından paylaşılan güncel sunum, bağlantı ve kodlar Updated presentations, links, and codes provided by the instructor |
References: | Öğretim elemanı tarafından paylaşılan güncel sunum, bağlantı ve kodlar Updated presentations, links, and codes provided by the instructor |
Course Learning Outcomes | 1 |
2 |
3 |
---|---|---|---|
Program Outcomes |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 50 |
Final | 1 | % 50 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
total | % 100 |
Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
Course Hours | 14 | 0 | 3 | 42 | |||
Study Hours Out of Class | 14 | 0 | 2 | 28 | |||
Project | 1 | 0 | 20 | 20 | |||
Final | 1 | 33 | 2 | 35 | |||
Total Workload | 125 |