MGMT 334 Human Resources ManagementMEF ÜniversitesiAkademik Programlar EkonomiÖğrenciler için Genel BilgiDiploma EkiErasmus Beyanı
Ekonomi
Lisans Programın Süresi: 4 Kredi Sayısı: 240 TYYÇ: 6. Düzey QF-EHEA: 1. Düzey EQF: 6. Düzey

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Econ., Admin. and Social Sciences
Course Code MGMT 334
Course Title in English Human Resources Management
Course Title in Turkish İnsan Kaynakları Yönetimi
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Intermediate
Semester Güz
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 126 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To gain knowledge of human resource management from a company’s all stakeholders’ perspective, to make sense of real business world and its human side; and to convert this understanding into better organizational effectiveness and health.
Course Description Today, for companies to have sustainable competitive advantage, it is accepted that the most important resource is human resources. To manage human resources effectively, leaders / managers, HR professionals and employees must know how to use human capital effectively in an organization through the management of people-related activities. HR concepts, tools, techniques, models, current issues and key HR functions such as recruitment, training & development, performance management, retention, employee engagement, compensation, and labor relations are the topics of the course.
Course Description in Turkish Günümüzde şirketlerin sürdürülebilir rekabet avantajı elde etmeleri için en önemli kaynağın insan kaynağı olduğu kabul edilmektedir. İnsan kaynaklarını etkin bir şekilde yönetmek için liderler / yöneticiler, İK profesyonelleri ve çalışanlar, insanlarla ilgili faaliyetlerin yönetimi yoluyla bir organizasyonda insan sermayesinin nasıl etkin bir şekilde kullanılacağını bilmelidir. İK kavramları, araçları, teknikleri, modelleri, güncel konuları ve işe alım, eğitim & gelişim, performans yönetimi, elde tutma, çalışan bağlılığı, ücretlendirme ve iş ilişkileri gibi temel İK fonksiyonları dersin konularıdır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
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Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics.
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics.
3) Displays a sound comprehension of microeconomic and macroeconomic theory.
4) Applies economic concepts to solve complex problems and enhance decision-making capability.
5) Uses quantitative techniques to analyze different economic systems.
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies.
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data.
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information.
10) Exhibits individual and professional ethical behavior and social responsibility.
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics. N
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics. N
3) Displays a sound comprehension of microeconomic and macroeconomic theory. N
4) Applies economic concepts to solve complex problems and enhance decision-making capability. N
5) Uses quantitative techniques to analyze different economic systems. N
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies. N
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. N
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings. N
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. N
10) Exhibits individual and professional ethical behavior and social responsibility. N
11) Displays learning skills necessary for further study with a high degree of autonomy N
Prepared by and Date DERYA CIHAN OKSUZOGLU , September 2018
Course Coordinator CEYHAN MUTLU
Semester Güz
Name of Instructor Öğr. Gör. MİNE ALPTEKİN

Course Contents

Hafta Konu
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Required/Recommended ReadingsRequired: Human Resource Management Textbook, Noe, R.A. et al, (2018).. (Ed. 11.) McGraw Hill Education, (Digital Version) Recommended: HBR’s 10 Must Reads, “On Managing People”, Harvard Business Review, 2017
Teaching MethodsVideos, readings, presentations, simulations, lectures, problem-solving activities, interactions with real life businesses, research, case studies, discussions, quizzes, personal self-assessments, individual and team work activities
Homework and ProjectsPre&post class work on digital platform, individual & team work, final exam
Laboratory WorkNone
Computer UsePersonal computer use
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Ödev 1 % 10
Ara Sınavlar 2 % 50
Final 1 % 40
TOTAL % 100
Course Administration oksuzoglud@mef.edu.tr

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Ders Saati 14 2 3 1 84
Ara Sınavlar 2 8 2 20
Final 1 20 2 22
Total Workload 126
Total Workload/25 5.0
ECTS 5