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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of GEOMATICS ENGINEERING
Doctorate
Course Catalog
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FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of GEOMATICS ENGINEERING / Doctorate
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JDZ7202Spatial Data Models and Data Str. For Gis3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of GEOMATICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Çetin CÖMERT
Co-LecturerNone
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
To establish an understanding of spatial data models and spatial data structures used in GIS. To get a grasp of these models and structures from a developers perspective.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Spatial data models for GIS will be learned10,111
PO - 2 : Spatial data structures for GIS will be learned10,111
PO - 3 : Relational and object-relational data models will be learned10,111
PO - 4 : A related software will be used124
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

 
Contents of the Course
An introduction to spatial data models and data structures for GIS. Relational and Object-Oriented data models. Raster and vector representations. Spatial data structures; Quadtrees and other hierarchical data structures. Spatial indexing and spatial clustering. Data models of the popular GIS software. Project; realisation of the concepts in Oracle Spatial.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1An introduction to spatial data models and data structures for GIS; fundamentals, course contents.
 Week 2Relational data models
 Week 3Object-Oriented data models
 Week 4Vector representations
 Week 5Raster representations
 Week 6Spatial data structures
 Week 7Quadtrees and other hierarchical data structures
 Week 8Mid-term exam
 Week 9Data models of the popular GIS software
 Week 10Term Project
 Week 11Term Project
 Week 12Term Project
 Week 13Term Project
 Week 14Term Project presentations and oral exam on term projects
 Week 15Term Project presentations and oral exam on term projects
 Week 16End-of-term exam
 
Textbook / Material
1Samet, H., 1990;The design and Analyses of Spatial Data Structures, Addison Wesley, New York.
2Worboys, M, Duckham M., 2004,GIS, A computing Perspective, CRC Press, second edition.
 
Recommended Reading
1Oosterom, P.,V., 1993; Reactive Data Structures for GIS, Oxford University Press.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 1,5 30
Laboratory exam 15 2 20
End-of-term exam 16 1,5 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 2 14 28
Arasınav için hazırlık 6 1 6
Arasınav 1 1 1
Proje 3 5 15
Kısa sınav 2 3 6
Dönem sonu sınavı için hazırlık 16 1 16
Dönem sonu sınavı 1 1 1
Total work load115