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| JDZL7320 | RASTER BASED NETWORK ANALYSIS TECH. IN GIS | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Volkan YILDIRIM | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Aim of the course is perform the network analysis based on raster data structures in GIS |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Will learn application areas of network analysis | 1 | | | PO - 2 : | Will compose spatial data set to network analysis | 3 | | | PO - 3 : | Will have some information about raster data set | 1 | | | 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), PO : Learning Outcome | | |
| Route determination is a complex process in which many variables are to be simultaneously analyzed and is one of the important steps for all Linear Engineering Structures (LES) projects. This process affects all other processes required from the beginning and during the life time of the project such as construction, maintenance, repairs etc. Establishment of LES in an optimal way is dependent on the determination of related route optimally. For this, factors effecting LES route should initially be determined. The degree of effect to route for each factor should be determined as a weighted coefficient and these should be interpreted and analyzed all together. This achived using raster-based data models. A raster-based GIS model depends on collecting all factors that would affect routing on a single raster-based surface. Each pixel on this surface has a digital value representing cost of pipeline works. These digital values and direction-distance data determine optimal pipeline routing. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Route planning | | | Week 2 | Route optimization | | | Week 3 | GIS and data models | | | Week 4 | Network analysis | | | Week 5 | Raster network analysis in route planning | | | Week 6 | Raster network analysis applications | | | Week 7 | Linear engineering structures | | | Week 8 | Route planning methods | | | Week 9 | Mid-term exam | | | Week 10 | Multi criteria decision methods/AHP | | | Week 11 | Route planning studies in the world | | | Week 12 | Raster network analysis algorithms | | | Week 13 | Raster network analysis algorithms can be used in GIS | | | Week 14 | Project presentation -1 | | | Week 15 | Project presentation -1 | | | Week 16 | Final exam | | | |
| 1 | Husdal, J.1999; Network analysis and network versus vector_A comparison study,UK | | | 2 | Yıldırım, V. 2009; DOĞALGAZ İLETİM HATLARININ BELİRLENMESİ İÇİN COĞRAFİ BİLGİ, SİSTEMLERİ İLE RASTER TABANLI DİNAMİK BİR MODELİN,GELİŞTİRİLMESİ, doktora tezi, Trabzon | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1 | 30 | | In-term studies (second mid-term exam) | 14 | | 6 | 20 | | End-of-term exam | 16 | 24/05/2016 | 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 | 2 | 4 | 8 | | Laboratuar çalışması | 2 | 4 | 8 | | Arasınav için hazırlık | 5 | 1 | 5 | | Arasınav | 1 | 1 | 1 | | Proje | 1 | 4 | 4 | | Dönem sonu sınavı için hazırlık | 5 | 4 | 20 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 71 |
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