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| SBP4004 | Optimization and Spatial Planning | 2+0+0 | ECTS:4 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of URBAN and REGIONAL PLANNING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Doç. Dr. Ersin TÜRK | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To model urban problems using operational research techniques. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Urban problems will be able to express mathematically. | 8,13,18,21 | 1,6, | | LO - 2 : | Optimal solutions can be determined by alternative solutions. | 8,13,18,21 | 1,6, | | LO - 3 : | Learn to establish and implement the model. | 8,13,18,21 | 1,6, | | LO - 4 : | Debate on possible solutions to the different methods and be able to choose the appropriate method. | 8,13,18,21 | 1,6, | | 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 | | |
| The technique of operations research models that determine the optimum solution. Model building, alternative, optimum solution and sensitivity analysis. Operational techniques for application in the field of urban and regional planning profession. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Intoduction to Operational research | | | Week 2 | Operations research techniques and establishing a method of model | | | Week 3 | Introduction to Linear programming | | | Week 4 | Maximization and minimization model solution | | | Week 5 | To solve Linear Programming by a solver | | | Week 6 | Sensitivit Analysis of Linear Programming | | | Week 7 | Continue | | | Week 8 | Simplex Method
| | | Week 9 | Mid-term exam | | | Week 10 | Duality and sensitivity analysis | | | Week 11 | Integer Programming | | | Week 12 | Transport Models - Homework presentations | | | Week 13 | Network Models | | | Week 14 | Practice | | | Week 15 | Practice- Continue | | | Week 16 | End-of-term Assignment | | | |
| 1 | Rardin, R.L., 1998 Optimiazation In Operations Research, Prentice Hall Inc. London | | | 2 | Taha, H., 1997, Yöneylem Araştırması, İstanbul, Literatür Yayıncılık | | | |
| 1 | Dökmeci, V., 2005, Planlamada Sayısal Yöntemler, İTÜ, İstanbul | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 17/04/2024 | 1 | 50 | | End-of-term exam | 16 | 13/06/2024 | 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 | 12 | 24 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 6 | 1 | 6 | | Arasınav | 1 | 1 | 1 | | Uygulama | 2 | 2 | 4 | | Ödev | 13 | 1 | 13 | | Dönem sonu sınavı için hazırlık | 0 | 0 | 0 | | Dönem sonu sınavı | 0 | 0 | 0 | | Total work load | | | 90 |
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