Basic Information
Course Name:
Human Resources Management
Language of Instruction:
English
Instructor:
Prof. Dr. İbrahim Sani MERT
Course Objectives
The objective of this course is to provide an understanding of the fundamental concepts, functions, and strategic role of Human Resource Management (HRM). The course aims to develop students' ability to analyze core HR practices, including recruitment, training and development, performance management, compensation, and career management. Additionally, the course seeks to evaluate the impact of HRM on organizational performance and sustainable competitive advantage, specifically within the framework of the Resource-Based View (RBV).
Course Content
This course covers both the functional and strategic dimensions of human resource management. The content includes an introduction to HRM, strategic human resource management and analysis, job analysis and talent management, HR planning and recruitment, employee selection and placement, interviewing techniques, training and development, performance management and appraisal, and career management. The curriculum is structured to enhance students' managerial decision-making skills by supporting theoretical knowledge with case studies and practical applications.
Prerequisites / Corequisites
To enroll in this course, students must have successfully completed the "Introduction to Management" course. This prerequisite ensures that students possess foundational knowledge of management functions and organizational structures, contributing to a better grasp of human resource processes.
Course Books / Materials / Recommended Resources
Mandatory Textbook: Dessler, G. (2019). Human Resource Management (15th Edition), Pearson.Recommended Resources:Current HRM articles and academic studies.Publications on HR analytics and strategic HRM.Pearson digital platform and relevant online resources.These resources are utilized to support students in transforming theoretical knowledge into practice and developing a strategic perspective.
Academic Integrity and Artificial Intelligence
Full compliance with the principles of academic integrity is mandatory within the scope of this course. Originality is essential for all assignments, projects, and examinations, and all sources used must be appropriately cited.Artificial Intelligence tools may only be used for supportive purposes. The direct use of content generated through these tools without proper attribution is considered a violation of academic ethics. Students are expected to transparently declare their use of AI and to assume full academic responsibility for the work they submit.