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| SYT3011 | Numerical Methods in Health Management | 2+0+0 | ECTS:3 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of HEALTH MANAGEMENT | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | It is aimed to have knowledge about the usage, modeling, analytical thinking and programming model of numerical data |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Students can model and solve decision making problems. | 7,8,9,10 | 1,3, | | LO - 2 : | Students can apply the statistical, operational research and scientific research techniques used. | 7,8,9,10 | 1,3 | | LO - 3 : | Students can improve analytical skills in planning, managing and evaluating health care programs and organizations. | 7,8,9,10 | 1,3 | | LO - 4 : | Students can develop solutions for decision problems, explain and interpret applications and developments. | 7,8,9,10 | 1,3 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Numerical data include the methods used in making relevant decisions (transportation model, simplex, critical path, inventory model). Approaches to establishing models and solving the case using numerical data are discussed in relation to every stage that can occur from establishment to activity in different health care enterprises. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to decision making methods in health facilities management | | | Week 2 | Decision variables, constraints and objective function concepts | | | Week 3 | Mathematical modeling in linear programming (DP) | | | Week 4 | Mathematical modeling and graphing of DP problems solutions | | | Week 5 | Mathematical modeling and graphing of DP problems solutions | | | Week 6 | Homework presentations | | | Week 7 | Simplex table | | | Week 8 | Simplex tables and applications | | | Week 9 | Mid-term exam | | | Week 10 | Simplex table and duality | | | Week 11 | Duality applications | | | Week 12 | Sensitivity analyzes | | | Week 13 | Sensitivity analyzes applications | | | Week 14 | Assignment models | | | Week 15 | Transportation models | | | Week 16 | Final exam | | | |
| 1 | KAVUNCUBAŞI, Şahin,2013, Sağlık Kurumları Yönetiminde Sayısal Yöntemler, Siyasal Kitabevi, Ankara | | | |
| 1 | Öztürk, A, 2005, Yöneylem Araştırması, Ekin Kitabevi, Bursa | | | 2 | Tütek, H., Gümüşoğlu, Ş., 2000, Sayısal Yöntemler, Beta Basım Yayım Dağıtım A.Ş., İstanbul | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 20/11/2018 | 1 | 40 | | Homework/Assignment/Term-paper | 6 | 23/10/2018 | 1 | 10 | | End-of-term exam | 16 | 15/01/2019 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 2 | 14 | 28 | | Arasınav için hazırlık | 3 | 6 | 18 | | Arasınav | 1 | 1 | 1 | | Ödev | 1 | 12 | 12 | | Dönem sonu sınavı için hazırlık | 3 | 6 | 18 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 78 |
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