Graduate
Institute of Graduate Studies
Geomatics (without thesis)
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Land Information Systems

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
İMSY 0106 Land Information Systems 3/0/0 DE 9
Course Goals
 To help students understand land information systems and their functions, land usage politics, multy-purpose cadastre, data and data quality
Prerequisite(s) NONE
Corequisite(s) NONE
Special Requisite(s) NONE
Instructor(s) Assist. Prof. Dr. Gürsel GÜZEL
Course Assistant(s)
Schedule Will be announced at the begining of the semester.
Office Hour(s) Will be announced at the begining of the semester.
Teaching Methods and Techniques - Lecture and discussion
Principle Sources

KONECNY G., Geoinformation, Taylor&Francis, New York, 2003

BARTELME N., Geoinformatik, Springer, Berlin, 2000

de BY R.A. et al, Principles of Geoigraphic Information Systems-An Introductory Texbook, ITC, Enschede 2001

Other Sources -ZEILER M., Modeling Our World, ESRI,  1999

Course Schedules
Week Contents Learning Methods
1. Week Introduction
2. Week Data input; Keyboard entry and coordinate geometry procedure
3. Week Manual digitizing, scanning
4. Week Remotely sensed data, existing digital data, natural resource data sets
5. Week Census-related data sets
6. Week Digital elevation data
7. Week Data output
8. Week Data quality
9. Week Data management
10. Week Spatial data models and attribute data
11. Week LIS analysis functions
12. Week Integrated analysis of spatial and attribute data
13. Week Implementing a LIS
14. Week Operational system
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 25
Homework / Term Projects / Presentations 1 25
Final Exam 1 50


Program Outcomes
PO-1Develop and deepen knowledge in the field of Geomatics Engineering.
PO-2Conceive the interdisciplinary interaction which the field of Geomatics Engineering is related with.
PO-3Use of theoretical and practical knowledge within the field of Geomatics Engineering at a proficiency level.
PO-4Interpret the knowledge about the field of Geomatics Engineering by integrating the information gathered from different disciplines and formulate new knowledge.
PO-5Solve the problem faced related to the field of Geomatics Engineering by using research methods.
PO-6Independently conduct studies that require proficiency in the field of Geomatics Engineering
PO-7Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field of Geomatics Engineering.
PO-8Demonstrate leadership in contexts that require solving problems related to the field of Geomatics Engineering.
PO-9Evaluate knowledge and skills acquired at proficiency level in the field of Geomatics Engineering with a critical approach and direct the learning.
PO-10Communicate current developments and studies within the field of Geomatics Engineering to both professional and non-professional groups systematically using written, oral and visual techniques by supporting with quantitative and qualitative data.
PO-11Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary.
PO-12Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level.
PO-13Use advanced informatics and communication technology skills with software knowledge required by the field of Geomatics Engineering.
PO-14Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethical values and teach these values.
PO-15Develop strategy, policy and implementation plans on the issues related to the field and assess the findings within the frame of quality processes.
PO-16Use the knowledge, problem solving and/or implementation skills in interdisciplinary studies.
Learning Outcomes
LO-11. land information systems
LO-22. land usage politics
LO-33. multy purpose cadater
LO-44. functions of land systems
LO-55. data and data quality
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16
LO 1
LO 2
LO 3
LO 4
LO 5