Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
İMSY 0105		Geographic Information Systems	3/0/0	DE		9

Course Goals	To help students understand geoinformation system, design and usage.
Prerequisite(s)	NONE
Corequisite(s)	NONE
Special Requisite(s)	NONE
Instructor(s)	Assist. Prof. Dr. Gürsel GÜZEL
Course Assistant(s)	NONE
Schedule	Perşembe 9:00-11:45 Geomati Lab.
Office Hour(s)	After the course session in the course class.
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 Geographic Information Systems-An Introductory Textbook, ITC, Enschede 2001
Other Sources	ZEILER M., Modeling Our World, ESRI,  1999

Course Schedules
Week	Contents	Learning Methods
1. Week	Introduction	-Lecture and Discussion.
2. Week	Hardware components	-Lecture and Discussion.
3. Week	Software components	-Lecture and Discussion.
4. Week	Vector systems	-Lecture and Discussion.
5. Week	Raster systems	-Lecture and Discussion.
6. Week	Databases	-Lecture and Discussion.
7. Week	GIS systems	-Lecture and Discussion.
8. Week	GIS and Internet	-Lecture and Discussion.
9. Week	GIS practices	-Lecture and Discussion.
10. Week	Positioning systems	-Lecture and Discussion.
11. Week	Data transferring	-Lecture and Discussion.
12. Week	Cost considerations	-Lecture and Discussion.
13. Week	Technological changes	-Lecture and Discussion.
14. Week	Applied project	-Lecture and Discussion.
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-1 Develop and deepen knowledge in the field of Geomatics Engineering. PO-2 Conceive the interdisciplinary interaction which the field of Geomatics Engineering is related with. PO-3 Use of theoretical and practical knowledge within the field of Geomatics Engineering at a proficiency level. PO-4 Interpret the knowledge about the field of Geomatics Engineering by integrating the information gathered from different disciplines and formulate new knowledge. PO-5 Solve the problem faced related to the field of Geomatics Engineering by using research methods. PO-6 Independently conduct studies that require proficiency in the field of Geomatics Engineering PO-7 Take 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-8 Demonstrate leadership in contexts that require solving problems related to the field of Geomatics Engineering. PO-9 Evaluate knowledge and skills acquired at proficiency level in the field of Geomatics Engineering with a critical approach and direct the learning. PO-10 Communicate 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-11 Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary. PO-12 Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level. PO-13 Use advanced informatics and communication technology skills with software knowledge required by the field of Geomatics Engineering. PO-14 Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethical values and teach these values. PO-15 Develop strategy, policy and implementation plans on the issues related to the field and assess the findings within the frame of quality processes. PO-16 Use the knowledge, problem solving and/or implementation skills in interdisciplinary studies.

Learning Outcomes LO-1 To learn organization of geographic data. LO-2 To learn hardware and software components. LO-3 To learn classification of data. LO-4 To learn data analysis. LO-5 To learn format transformations.

Course Assessment Matrix:

PO 1

PO 2

PO 3

PO 4

PO 5

PO 6

PO 7

PO 8

PO 9

PO 10

PO 11

PO 12

PO 13

PO 14

PO 15

PO 16

LO 1

LO 2

LO 3

LO 4

LO 5