MNG034 Digital Human Resources and Data AnalyticsIstinye UniversityDegree Programs Business Administration (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Business Administration (English)

Preview

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) Using other social sciences and mathematics, they have a broad and interdisciplinary perspective on business and management sciences.
1) Using other social sciences and mathematics, they have a broad and interdisciplinary perspective on business and management sciences. 2 2 2
2) They have knowledge and skills about different functions and interactions of the enterprise. 2 2 2
3) They can use different theoretical approaches to understanding and solving various business problems. 2 2 2
4) Being aware of the needs of society, they use business knowledge to meet these needs. 2 2 2
5) They have knowledge depthly about current problems of Turkey and Global Business World’s 2 2 2
6) They can determine the objectives of the institution in which they are involved, taking into account the market needs and economic conditions. 2 2 2
7) They can solve complex business problems by using various statistical techniques and numerical methods and makes analysis by using statistical programs effectively. 2 2 2
8) They can use a foreign language at least B1 General Level in terms of European Language Portfolio criteria according to the education level of a foreign language. 2 2 2
9) They can develops teamwork, negotiation, leadership and entrepreneurship skills. 2 2 2
10) They have the knowledge of universal ethical values, social responsibility awareness and sufficient level of labor law. 2 2 2
11) They can identify the individual learning needs and carries out studies to correct them by developing positive attitudes about lifelong learning. 2 2 2
12) They can express their ideas and solutions both written and orally, and if required they can present and publish them on both national and international platforms. 2 2 2
13) They use information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. 2 2 2

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Using other social sciences and mathematics, they have a broad and interdisciplinary perspective on business and management sciences.
1) Using other social sciences and mathematics, they have a broad and interdisciplinary perspective on business and management sciences. 2
2) They have knowledge and skills about different functions and interactions of the enterprise. 2
3) They can use different theoretical approaches to understanding and solving various business problems. 2
4) Being aware of the needs of society, they use business knowledge to meet these needs. 2
5) They have knowledge depthly about current problems of Turkey and Global Business World’s 2
6) They can determine the objectives of the institution in which they are involved, taking into account the market needs and economic conditions. 2
7) They can solve complex business problems by using various statistical techniques and numerical methods and makes analysis by using statistical programs effectively. 2
8) They can use a foreign language at least B1 General Level in terms of European Language Portfolio criteria according to the education level of a foreign language. 2
9) They can develops teamwork, negotiation, leadership and entrepreneurship skills. 2
10) They have the knowledge of universal ethical values, social responsibility awareness and sufficient level of labor law. 2
11) They can identify the individual learning needs and carries out studies to correct them by developing positive attitudes about lifelong learning. 2
12) They can express their ideas and solutions both written and orally, and if required they can present and publish them on both national and international platforms. 2
13) They use information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. 2

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