Course Name Code Semester T+U Hours Credit ECTS
Quantitative Methods In Health Care Facilities SAY 305 5 4 + 0 4 7
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Arş.Gör.Dr. ÖZGÜN ÜNAL
Course Lecturers Arş.Gör.Dr. ÖZGÜN ÜNAL,
Course Assistants

Res.Asst. Özgün ÜNAL

Course Category Available Basic Education in the Field
Course Objective

Numerical data for use, modeling, analytical thinking and programming models on the subject have knowledge is aimed to.

Course Content

It includes the methods used to make accurate decisions about the numerical data (transportation model, simplex, critical path, inventory model).

# Course Learning Outcomes Teaching Methods Assessment Methods
1 To provide the necessary skills to be able to define,model,solve the healt problems in society Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
2 To provide comprehensive knowledge and usageskills on quality and emerging technologies Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
3 To provide the necessary skills to be able to define,analyze and comphire in healtcare provision Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
4 To prvide the necessary skills to be able to comprehend on healt management Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
5 When the decision is based on the current argumanlara, managerial decisions to be analyzed with numerical methods for success. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
6 Explain the existence of decision variables and constraints in managerial decision making process. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
7 Recognize the mathematical modeling of the problem. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
8 Uses statistical methods, operations research and scientific research techniques used in modeling and solving decision-making problems. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
9 Apply linear programming, project management techniques (CPM, PERT), game theory, stock models, waiting line systems, simulation-simulation, statistical quality control methods, estimation methods. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to quantitative decision making techniques
2 Decision-making techniques
3 Decision tree
4 Probability under the decision
5 Linear programming
6 Simplex method
7 Simplex method, applications
8 Tail theorem
9 MIDTERM EXAMS
10 Inventory model
11 Transport model
12 North west corner, vogel method
13 Network analysis and critical path analysis
14 Simulation
Resources
Course Notes <p>&Ouml;zcan, A. Y. (2013). Sağlık Kurumları Y&ouml;netiminde Sayısal Y&ouml;ntemler&ndash;Teknikler ve Uygulamalar.&nbsp;<em>&Ccedil;evirenler: Şahin Kavuncubaşı ve Selami Yıldırım. Siyasal Kitabevi</em>.</p>
Course Resources

Özcan, A. Y. (2013). Sağlık Kurumları Yönetiminde Sayısal Yöntemler–Teknikler ve Uygulamalar. Çevirenler: Şahin Kavuncubaşı ve Selami Yıldırım. Siyasal Kitabevi.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To gain competencies specific to the field of health management X
2 Gaining innovation and entrepreneurship characteristics in the health sector X
3 To make effective, oral and written communication and professional presentations X
4 Gaining the ability to access / access up-to-date health management information and transfer it to teammates X
5 Analyzing organizational data X
6 Using leadership skills in solving current problems X
7 To have the awareness of responsibility required by the health ecosystem X
8 To behave legally and ethically in health service delivery X
9 Evaluating the global context affecting healthcare delivery X
10 To grasp / understand / interpret the development in global health services X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 10
2. Kısa Sınav 10
3. Kısa Sınav 10
4. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 1 15 15
Assignment 2 15 30
Final examination 1 20 20
Total Workload 187
Total Workload / 25 (Hours) 7.48
dersAKTSKredisi 7