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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES

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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES /
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GEOD208Computer Aided Mapping Design3+1+0ECTS:5
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of GEOMATICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Practical
Contact Hours14 weeks - 3 hours of lectures and 1 hour of practicals per week
LecturerDr. Öğr. Üyesi Gülten KARA
Co-LecturerNone
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
To establish an understanding on the technologies of Computer aided mapping, and on the concepts of vector and raster data representations and related data structures.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : understand base concepts of CAMD(computer aided mapping design) and its technology.11
LO - 2 : do the transfer data from analogue environment to the digital background.51
LO - 3 : understand base subjects such as data structures, vector and raster representations in theoretical and practical ways.1,51
LO - 4 : improve the skills of verbal communication.71
LO - 5 : understand current developments in the field of CAMD.101
LO - 6 : use software in the field of CAMD.11,124
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

 
Contents of the Course
Computer aided mapping (CAM) technology; general concepts. Hardware for CAM; Computer systems, software and hardware subsystems, hardcopy output devices. Computer networks. Graphical output devices. Raster and vector display system concepts; Resolution, scaling, colour display systems. Data conversion; Manual, semi and full automated digitizing. Raster-to-vector conversion. General purpose data structures. File structures. Sequential and random access file organizations. Vector data structures; topologic data structures. Vector data formats. Raster data structures. Quad trees. Raster data formats. Comparing raster and vector data structures. Spatial data interchange. Digital Elevation Models. Map production in CAM; Cartographic output design and symbolization.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Computer Aided Mapping, Geographic Information System concepts Database management Systems, Geographic Information System concepts.
 Week 2Computer systems and subsystems. communication technologies and computer networks.
 Week 3Spatial data conversion; semi- and full-automated digitizing.
 Week 4Spatial data conversion; semi- and full-automated digitizing.
 Week 5Data structures and file organizations.
 Week 6Vector representation and related data structures.
 Week 7Vector representation and related data structures. Raster representation and related data structures.
 Week 8Mid-term exam
 Week 9A comparison of raster and vector data representations in terms of analytical operations for the understanding of both representations.
 Week 10Cartographic output design and symbolization.
 Week 11Spatial data exchange.
 Week 12Digital Elevation Models (DEM) and surface analyses.
 Week 13Digital Elevation Models (DEM) and surface analyses.
 Week 14Developing application programs in GIS software.
 Week 15Lab Exam
 Week 16End-of-term exam
 
Textbook / Material
1Principles of Geographical Information Systems for Land resources assessment, P.A., Burrough, Oxford University Press, 1998.
 
Recommended Reading
1An Introduction to Digital maping, S.E. Masry, Y.C. Lee, Lecture Notes, Department of Surveying Engineering, University of new Brunswick, Fredericton, Canada, June 1988.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 1,30 20
Oral exam 14 1 30
End-of-term exam 16 1,30 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 4 14 56
Sınıf dışı çalışma 2 14 28
Arasınav için hazırlık 10 1 10
Arasınav 1.5 1 1.5
Uygulama 2 8 16
Proje 2 1 2
Dönem sonu sınavı için hazırlık 10 1 10
Dönem sonu sınavı 1.5 1 1.5
Total work load125