Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
DECISION-MAKING METHODS IN HEALTH CARE ORGANISATIONS II SAY304 6. Semester 2 + 2 3.0 3.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals This course aims for students to examine the management problems of health institutions with modern mathematical models.
Course Content Transportation and assignment problems
Learning Outcomes 1) Lists transportation models
2) Solve transporation problems
3) Execute project evaluation techniques
4) Solve allocation problems
5) Use quantitative methods in decision making in healthcare institutions

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction - Transportation Models Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
2. Week Solution of Transportations Problems - Stepping Stone Model Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Homework Presentation (Including Preparation Time)
3. Week Solution of Transportation Problems: MODI method Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
4. Week Solution of Transportation Problems: VAM method Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
5. Week Special Conditions in Transportation Problems - Degeneration Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
6. Week Allocation Problems - Hungarian Algorithm Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
7. Week Special Conditions in Allocation Problems Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
8. Week Queuing Models Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
9. Week Decision Making Methods, Parameters of Decision Making Under Uncertainty Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
10. Week Decision Making Methods: Parameters of Decision Making Under Risk Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
11. Week Project Evaluation Methods (CPM, PERT) Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
12. Week Network Models Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
13. Week Goal Programming Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
14. Week Game Theory Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Yöneylem Araştırması, Hamdy A. Taha, Literatür Yayınları, 2010.
Doğrusal Programlama, Prof.Dr.İmdat Kara, Bilim Teknik Yayınevi, Eskişehir, 1991.
Kaynak Dağılımında Doğrusal Programlama, Prof.Dr.Halil Sarıaslan, Turhan Kitabevi, Ankara, 2000.
Quantitative Methods ın Health Care Management, Yaşar A.Özcan, Jossey-Bass, USA, 2009.
Üretim ve İşlemler Yönetimi Stratejik Kararlar ve Karar Modelleri, Prof.Dr. Sevinç Üreten, Gazi Kitabevi, Ankara, 2006.
Yöneylem Araştırması, Prof.Dr.Ahmet Öztürk, Esin Kitabevi Yayınları, Bursa, 2009.
Yöneylem Araştırması, Sayımlama Yöntemleri , Prof.Dr.Hayrettin Kemal Sezen, Ekin Kitabevi, 2004.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5
PY1500000
PY2555555
PY3500000
PY4544444
PY5500000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 4
Work Hour outside Classroom (Preparation, strengthening) 1 14
Homework 1 3
Midterm Exam 1 1
Time to prepare for Midterm Exam 1 5
Final Exam 1 1
Time to prepare for Final Exam 1 10
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload