COMPUTER ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

1410002020

Ders İsmi:

Geographic Information Systems

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Bölüm Seçmeli

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi Recep DURANAY

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	To present the basic theoretical framework, techniques and technologies related to geographic information systems.
Course Content:	Introduction to Geographic Information Systems (GIS); Components of GIS; Functions of GIS; Geographical Data Collection and Data Sources; Geometric Data Models and Data Structures; Processing Geometric Data; Geodatabase Models; Geodatabase Design; Structured Query Language (SQL) for Geographical Data; Spatial Analysis Techniques in GIS; GIS applications

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Express the basic concepts of geographic information systems.
2) Develops applications in geographic information system environment.
2 - Skills
Cognitive - Practical
1) Uses various tools related to geographic information systems.
3 - Competences
Communication and Social Competence
Learning Competence
1) Makes spatial queries with SQL.
Field Specific Competence
1) Makes geodatabase design.
Competence to Work Independently and Take Responsibility
1) Express spatial analysis techniques.

Ders Akış Planı

Week	Subject	Related Preparation
1)	Introduction to Geographic Information Systems (GIS): Definition, Concepts, Fields of Application / Components of GIS / Functions of GIS / Geographical Data Collection and Data Sources
2)	Geometric Data Models: Vector and Raster Models / Vector Data Structures: Spaghetti and Topological / Raster Data Structures: Line Length Encoding, BlockCoding, Chain Encoding, Quadtree / Processing of Geometric Data
3)	Geodatabase Models: Relational, Object Oriented, Object-Relational / Geodatabase Design: Conceptual, Logical and Structured Query Language (SQL) for Physical / Geographic Data
4)	Spatial Analysis Techniques in GIS: Proximity, Registration, Grid, Network, Surface and Watershed Analysis
5)	GIS Applications
6)	GIS Applications
7)	GIS Applications
8)	Midterm
9)	GIS Applications
10)	GIS Applications
11)	GIS Applications
12)	GIS Applications
13)	GIS Applications
14)	GIS Applications
15)	GIS Applications
16)	Final

Sources

Course Notes / Textbooks:

Jensen J.R. and Jensen R.R. (2013) Introductory Geographic Information Systems, Upper Saddle River, New Jersey: Prentice Hall.
Heywood, I, Cornelius, S. and Carver, S. (2011) An Introduction to Geographical Information Systems, 4th Ed, Upper Saddle River, New Jersey: PrenticeHall
Longley, P.A., Goodchild, M.F, Maguire, D.J. and Rhind, D.W. (2015) Geographic Information Systems and Science, 4rd ed., Chichester: Wiley.
Lo, C.P. and Yeung, A.K.W. (2007) Concepts and Techniques of Geographic Information Systems, 2nd ed., Upper Saddle River, New Jersey: Prentice-Hall.
Chang, K.T. (2015) Introduction to Geographic Information Systems, 8th ed., Boston: McGraw-Hill.

References:

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3	4	5	6
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2)	PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3)	PO 2.1) Identifying complex engineering problems
4)	PO 2.2) Defining complex engineering problems
5)	PO 2.3) Formulating complex engineering problems
6)	PO 2.4) Ability to solve complex engineering problems
7)	PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8)	PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9)	PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10)	PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11)	PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12)	PO 4.3) Ability to use information technologies effectively.
13)	PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments	4
14)	PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15)	PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16)	PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17)	PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Bireysel Proje

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
total		%
PERCENTAGE OF SEMESTER WORK		% 0
PERCENTAGE OF FINAL WORK		%
total		%

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	13	3	39
Study Hours Out of Class	13	4	52
Project	1	30	30
Midterms	1	12	12
Final	1	14	14
Total Workload			147