Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
DECISION-MAKING METHODS IN HEALTH CARE ORGANISATIONS I SAY307 5. Semester 2 + 2 3.0 3.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery Oral and written expression, Example solving
Course Coordinator
Instructors ÇAĞDAŞ ERKAN AKYÜREK
Assistants
Goals This course aims for students to examine the management problems of health institutions with modern mathematical models.
Course Content Fundamentals of Modeling Concepts-Linear Programming Concept, the formulation of Linear Programming Problems
Learning Outcomes 1) Solves matrix operations.
2) Counts the methods used in solving linear programming problems.
3) Formulates linear programming problem.
4) Solves linear programming problem.
5) Interprets the solution of linear programming problem.
6) Uses quantitative methods to make managerial decisions in health institutions.
7) Solves non-linear programming problems.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction, Matrixes, Operations with matrixes Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
2. Week Fundamentals of Modelling, Lineer Programming, Formulation of LP Problems Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
3. Week Solution of LP Problems, Graphic Method (Maximization) Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
4. Week Graphic Solution (Maximization, Minimization) Lecture; Question Answer
Brainstorming
Brain Based Learning 		Homework Presentation (Including Preparation Time)
5. Week Simplex Method in Lineer Programming (Maximization) Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
6. Week Simplex Method in Lineer Programming (Maximization) Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
7. Week Economical Interpretation of Simplex Tables Lecture; Question Answer
Brainstorming
Brain Based Learning 		Homework Presentation (Including Preparation Time)
8. Week Duality Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
9. Week Basic Concepts related with Nonlineer Programming Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
10. Week Single variable nonlineer limited model Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
11. Week Multi-variable nonlineer limited model Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
12. Week Kuhn-Tucker Conditions Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
13. Week PC Usage in Lineer Programming Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
14. Week Analytical Hierarchy Process Lecture; Question Answer
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Yöneylem Araştırması, Hamdy A. Taha, Literatür Yayınları, 2010.
Doğrusal Olmayan Programlama, Kemal Sezen, Marmara Kitabevi Yayınları, Bursa, 1998.
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.

Assessment
Measurement and Evaluation Methods and Techniques
Short run Written Questions, Long-tasking Written Exams
Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7
PY150000000
PY255555555
PY350000000
PY454444444
PY550000000

*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) 14 1
Homework 2 4
Midterm Exam 1 1
Time to prepare for Midterm Exam 1 4
Final Exam 1 1
Time to prepare for Final Exam 1 6
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload