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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
QUANTITATIVE DECISION-MAKING TECHNIQUES-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Pakize YİĞİT
Name of Lecturer(s)Assist.Prof. Esra BAYTÖREN
Assistant(s)
AimTo recognize the terminologies and methods of quantitative decision making, and to design a solution for a given decision problem by using MS Excel Solver component.
Course ContentThis course contains; 1. Introduction to Decision problems,2. Linear Programming,3. Transportation Model,4. Assignment Model,5. Network Models (Shortest Path, Maximum Flow, Traveler),6. Network Model (Salesman problems),7. Dynamic Programming,0-1 Programming (Computer Aided),Data Envelopment Analysis (Computer aided),Markov Analysis (Computer aided),Predictive Methods (Computer Aided),Decision Analysis: decision under uncertainty (Computer Aided),Group Studies and Presentations,Introduction to project management.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Explains the existence of decision variables and constraints in managerial decision making process.12, 14, 4, 9A
Recognize the mathematical modeling of the problem subject to the decision.13, 16, 9A
Uses statistical methods, operations research and scientific research techniques in modeling and solving decision making problems.12, 9A
Apply linear programming, project management techniques (CPM, PERT), game theory, inventory models, waiting line systems, simulation-simulation, statistical quality control methods, forecasting methods.13, 14, 9A
Teaching Methods:12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
11. Introduction to Decision problemsRelative Course Notes
22. Linear ProgrammingRelative Course Notes
33. Transportation ModelRelative Course Notes
44. Assignment ModelRelative Course Notes
55. Network Models (Shortest Path, Maximum Flow, Traveler)Relative Course Notes
66. Network Model (Salesman problems)Relative Course Notes
77. Dynamic ProgrammingRelative Course Notes
80-1 Programming (Computer Aided)Relative Course Notes
9Data Envelopment Analysis (Computer aided)Relative Course Notes
10Markov Analysis (Computer aided)Relative Course Notes
11Predictive Methods (Computer Aided)Relative Course Notes
12Decision Analysis: decision under uncertainty (Computer Aided)Relative Course Notes
13Group Studies and PresentationsRelative Course Notes
14Introduction to project managementRelative Course Notes
Resources
Lecture notes and lab sheets
1. Eyüp Çetin, “Medikal karar Verme Teknikleri – Sağlık Yönetimi ve Tıpta Matematiksel Uygulamalar”, Beta yayınları, 2013 2. A.Yaşar Özcan, “Sağlık Kurumları Yönetiminde Sayısal Yöntemler – Teknik ve Uygulamalar”, Siyasal Kitabevi, 2013 3. Şule Özkan, “Yöneylem Araştırması - Nicel Karar Teknikleri”, Nobel Yayınları, 2005 4. Yöneylem Araştırması Nicel Karar Teknikleri, 2005, Prof. Dr. Şule Özkan, NOBEL YAYIN DAĞITIM 5. Yöneylem Araştırması, 2004, Kemal Sezen, EKİN KİTABEVİ 6. Winston, W. L., & Goldberg, J. B. (2004). Operations research: applications and algorithms (Vol. 3). Belmont: Thomson Brooks/Cole. 7.Taha, H. A. (2005). Operations research: An introduction (for VTU). Pearson Education India.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
PQ-1. Learns the national health conditions and the development, implementation and performance evaluation of appropriate health policies, as well as the theoretical and practical knowledge of organization and management of the health sector.
X
2
PQ-2. Uses theoretical and practical knowledge on business world and management with a critical approach to plan, organize and lead health and health service providers at national and international level.
X
3
PQ-3. Identifies the relevant job roles in subdivisions of health system organizations and learns about their duties and responsibilities.
X
4
PQ-4. Knows the social, environmental and behavioral factors related to the development of public and individual health.
X
5
PQ-5. Applies the knowledge and skills on management of health institutions to manage the functions such as management, production, human resources, finance, accounting, marketing, patient and public relations, quality and patient safety, occupational health and safety, information technologies.
X
6
PQ-6. Analyzes the information on health management scientifically and interprets their results, creates innovative, ethical, socially responsible and sustainable solutions, by using quantitative, qualitative techniques and digital technology innovatively for problem solving and exploiting opportunities in health management.
X
7
PQ-7. Decide independently and demonstrates leadership qualities in identifying health management problems, develops proposals for solutions, applies them effectively and efficiently and assesses outcomes.
X
8
PQ-8. Takes responsibility as an individual and/or team member to solve the problems encountered in managing health institutions.
X
9
PQ-9. Evaluates the personality, culture and behavioral characteristics of the health institutions’ employees and directs them towards the aims of the institution.
X
10
PQ-10. Decides on and applies different ways of accessing information.
X
11
PQ-11. Continuously develops their professional knowledge and skills; open to change, innovation, entrepreneurship and lifelong learning.
X
12
PQ-12. Shares the views and suggestions on health management issues in writing and orally with stakeholders and communicates effectively with colleagues using an English level of at least European Language Portfolio B1 General.
X
13
PQ-13. Solves problems using effective communication methods, has the ability to use the language in written and oral communication in a correct and proper manner using the terminology of health institutions.
X
14
PQ-14. Uses information and communication technologies and computer software at least at the European Computer Use License level.
X
15
PQ-15. Yönetim felsefesini ve yönetimin fonksiyonlarını her bir birime uygun olacak biçimde yönetim uygulamalarına yansıtır.
X
16
PQ-16. Birey olarak dış görünüm olumlu tutum ve davranışlarıyla kuruma örnek olur; sürekli gelişme ve değişime açıktır.
X
17
PQ-17. Sağlık yönetimi ile ilgili hukuki düzenlemeler ile toplumsal, bilimsel, mesleki etik ilkelere uygun, ülke ya da dünya genelinde genel sağlık sorunlarına duyarlı davranır, çözüm önerilerini yorumlar ve değerlendirir.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 20
Rate of Final Exam to Success 80
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving14228
Resolution of Homework Problems and Submission as a Report51050
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam12121
General Exam13131
Performance Task, Maintenance Plan000
Total Workload(Hour)172
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(172/30)6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
QUANTITATIVE DECISION-MAKING TECHNIQUES-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Pakize YİĞİT
Name of Lecturer(s)Assist.Prof. Esra BAYTÖREN
Assistant(s)
AimTo recognize the terminologies and methods of quantitative decision making, and to design a solution for a given decision problem by using MS Excel Solver component.
Course ContentThis course contains; 1. Introduction to Decision problems,2. Linear Programming,3. Transportation Model,4. Assignment Model,5. Network Models (Shortest Path, Maximum Flow, Traveler),6. Network Model (Salesman problems),7. Dynamic Programming,0-1 Programming (Computer Aided),Data Envelopment Analysis (Computer aided),Markov Analysis (Computer aided),Predictive Methods (Computer Aided),Decision Analysis: decision under uncertainty (Computer Aided),Group Studies and Presentations,Introduction to project management.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Explains the existence of decision variables and constraints in managerial decision making process.12, 14, 4, 9A
Recognize the mathematical modeling of the problem subject to the decision.13, 16, 9A
Uses statistical methods, operations research and scientific research techniques in modeling and solving decision making problems.12, 9A
Apply linear programming, project management techniques (CPM, PERT), game theory, inventory models, waiting line systems, simulation-simulation, statistical quality control methods, forecasting methods.13, 14, 9A
Teaching Methods:12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
11. Introduction to Decision problemsRelative Course Notes
22. Linear ProgrammingRelative Course Notes
33. Transportation ModelRelative Course Notes
44. Assignment ModelRelative Course Notes
55. Network Models (Shortest Path, Maximum Flow, Traveler)Relative Course Notes
66. Network Model (Salesman problems)Relative Course Notes
77. Dynamic ProgrammingRelative Course Notes
80-1 Programming (Computer Aided)Relative Course Notes
9Data Envelopment Analysis (Computer aided)Relative Course Notes
10Markov Analysis (Computer aided)Relative Course Notes
11Predictive Methods (Computer Aided)Relative Course Notes
12Decision Analysis: decision under uncertainty (Computer Aided)Relative Course Notes
13Group Studies and PresentationsRelative Course Notes
14Introduction to project managementRelative Course Notes
Resources
Lecture notes and lab sheets
1. Eyüp Çetin, “Medikal karar Verme Teknikleri – Sağlık Yönetimi ve Tıpta Matematiksel Uygulamalar”, Beta yayınları, 2013 2. A.Yaşar Özcan, “Sağlık Kurumları Yönetiminde Sayısal Yöntemler – Teknik ve Uygulamalar”, Siyasal Kitabevi, 2013 3. Şule Özkan, “Yöneylem Araştırması - Nicel Karar Teknikleri”, Nobel Yayınları, 2005 4. Yöneylem Araştırması Nicel Karar Teknikleri, 2005, Prof. Dr. Şule Özkan, NOBEL YAYIN DAĞITIM 5. Yöneylem Araştırması, 2004, Kemal Sezen, EKİN KİTABEVİ 6. Winston, W. L., & Goldberg, J. B. (2004). Operations research: applications and algorithms (Vol. 3). Belmont: Thomson Brooks/Cole. 7.Taha, H. A. (2005). Operations research: An introduction (for VTU). Pearson Education India.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
PQ-1. Learns the national health conditions and the development, implementation and performance evaluation of appropriate health policies, as well as the theoretical and practical knowledge of organization and management of the health sector.
X
2
PQ-2. Uses theoretical and practical knowledge on business world and management with a critical approach to plan, organize and lead health and health service providers at national and international level.
X
3
PQ-3. Identifies the relevant job roles in subdivisions of health system organizations and learns about their duties and responsibilities.
X
4
PQ-4. Knows the social, environmental and behavioral factors related to the development of public and individual health.
X
5
PQ-5. Applies the knowledge and skills on management of health institutions to manage the functions such as management, production, human resources, finance, accounting, marketing, patient and public relations, quality and patient safety, occupational health and safety, information technologies.
X
6
PQ-6. Analyzes the information on health management scientifically and interprets their results, creates innovative, ethical, socially responsible and sustainable solutions, by using quantitative, qualitative techniques and digital technology innovatively for problem solving and exploiting opportunities in health management.
X
7
PQ-7. Decide independently and demonstrates leadership qualities in identifying health management problems, develops proposals for solutions, applies them effectively and efficiently and assesses outcomes.
X
8
PQ-8. Takes responsibility as an individual and/or team member to solve the problems encountered in managing health institutions.
X
9
PQ-9. Evaluates the personality, culture and behavioral characteristics of the health institutions’ employees and directs them towards the aims of the institution.
X
10
PQ-10. Decides on and applies different ways of accessing information.
X
11
PQ-11. Continuously develops their professional knowledge and skills; open to change, innovation, entrepreneurship and lifelong learning.
X
12
PQ-12. Shares the views and suggestions on health management issues in writing and orally with stakeholders and communicates effectively with colleagues using an English level of at least European Language Portfolio B1 General.
X
13
PQ-13. Solves problems using effective communication methods, has the ability to use the language in written and oral communication in a correct and proper manner using the terminology of health institutions.
X
14
PQ-14. Uses information and communication technologies and computer software at least at the European Computer Use License level.
X
15
PQ-15. Yönetim felsefesini ve yönetimin fonksiyonlarını her bir birime uygun olacak biçimde yönetim uygulamalarına yansıtır.
X
16
PQ-16. Birey olarak dış görünüm olumlu tutum ve davranışlarıyla kuruma örnek olur; sürekli gelişme ve değişime açıktır.
X
17
PQ-17. Sağlık yönetimi ile ilgili hukuki düzenlemeler ile toplumsal, bilimsel, mesleki etik ilkelere uygun, ülke ya da dünya genelinde genel sağlık sorunlarına duyarlı davranır, çözüm önerilerini yorumlar ve değerlendirir.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 20
Rate of Final Exam to Success 80
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 04/11/2023 - 15:39Son Güncelleme Tarihi: 04/11/2023 - 15:43