Economics (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: MNG034
Course Name: Digital Human Resources and Data Analytics
Semester: Spring
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
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
Course Assistants:

Course Objective and Content

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

Learning Outcomes

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

Course Flow Plan

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

Sources

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 - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

Program Outcomes
1) They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics.
2) They have knowledge and skill about different functions and interactions of economy.
3) They use different theoretical approaches to comprehend and solve various economic problems.
4) They are aware of the needs of society and use their knowledge of economics to meet these needs.
5) They have in-depth knowledge on the current issues of the Turkish economy and the global economy.
6) They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy.
7) Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively.
8) They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education.
9) They improve their skills of teamwork, negotiation, leadership and entrepreneurship.
10) They have universal ethical values, social responsibility awareness and adequate knowledge of business law.
11) Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them.
12) They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms.
13) They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License .

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics.
2) They have knowledge and skill about different functions and interactions of economy.
3) They use different theoretical approaches to comprehend and solve various economic problems.
4) They are aware of the needs of society and use their knowledge of economics to meet these needs.
5) They have in-depth knowledge on the current issues of the Turkish economy and the global economy.
6) They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy.
7) Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively.
8) They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education.
9) They improve their skills of teamwork, negotiation, leadership and entrepreneurship.
10) They have universal ethical values, social responsibility awareness and adequate knowledge of business law.
11) Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them.
12) They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms.
13) They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License .

Assessment & Grading

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

Workload and ECTS Credit Calculation

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