COURSE UNIT TITLE

: HUMAN RESOURCES MANAGEMENT AND INDUSTRIAL PSYCHOLOGY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
UKY 8045 HUMAN RESOURCES MANAGEMENT AND INDUSTRIAL PSYCHOLOGY ELECTIVE 3 0 0 6

Offered By

Quality Management Non-thesis (Distance Learning)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR GÜLÜZAR KURT GÜMÜŞ

Offered to

Quality Management Non-thesis (Distance Learning)

Course Objective

To explain the activities which effectively lead human resources and understand the human resource processes in the light of industrial and organizational psychology that focus on individual in organizations.

Learning Outcomes of the Course Unit

1   to be able to understand the behaviour of people in organizations
2   to be able to understand the changes in behaviour of people in organizations
3   to be able to recognize the organizational processes which ensure employee performance and productivity
4   to be able to explain basic concepts and processes of human resources
5   to be able to recognize the organizational processes which help to manage human resources

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Job analyses
2 Digitalization in human resources management
3 Job analysis
4 Job design
5 Job evaluation
6 Wage management
7 Wage systems
8 Performance management
9 Performance evaluation methods
10 Motivation
11 Human Resources planning and employee selection
12 Career Management
13 Job satisfaction
14 Training and development of human resources

Recomended or Required Reading

Dursun Bingöl, Insan Kaynakları Yönetimi, Beta Basım A.Ş. , 2010
Şerif Şimşek, H. Serdar Öge, Insan Kaynakları Yönetimi , Eğitim Kitabevi, 2014
Handbook of Industrial, Work, and Organizational Psychology, Volume 1-Volume 2, Edited by: Neil Anderson, Deniz S. Ones, Handan Kepir Sinangil, Chockalingam Viswesvaran, Sage Publications.

Planned Learning Activities and Teaching Methods

1- Class Lecturing ,
2- Lectures on applications ,
3- Presentations of Case Studies,
4- Discussion and analysis of case studies

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FCGR FINAL COURSE GRADE
4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.20 + FN* 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.20 + RST* 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

1. Midterm Exam: Midterm exam encompasses the subjects covered in lectures as well as weekly assignments (20%).
2. Term Work: Includes research work on a subject determined at the beginning of the semester (20%).
3. Final Exam: The exam encompasses all the subjects covered through out the semester, as well as in-class discussions, applications and case studies (60%).
4. Resit: he exam encompasses all the subjects covered through out the semester, as well as in-class discussions, applications and case studies (60%).

Assessment Criteria

Exam papers will be evaluated regarding the level of understanding, as well as defining the causality between the basic concepts and issues of the lecture, ability of giving examples and analytical thought, and using relevant terminology.

Language of Instruction

Turkish

Course Policies and Rules

Rules related to midterm and final exams are: Questions are not general but specific, case study analyses should be made by using of proper terminology. Following points will be considered on this matter:
- Ability to use terminology properly, degree of consistency between cause and effect relationships of concepts.
- The solution to the problems should be well grounded, scientific, logical and convincing.
- Readings related to the course and having a grasp of the topics are important.

Contact Details for the Lecturer(s)

hulya.kurgun@deu.edu.tr

Office Hours

Friday 10:00-16:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 3 42
Preparation for final exam 1 20 20
Preparation for midterm exam 1 20 20
Preparing assignments 2 20 40
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 154

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.1
LO.2
LO.343
LO.4
LO.532