CSS228 Analyzing and Interpration at GIS

4 ECTS - 1-2 Duration (T+A)- 4. Semester- 2 National Credit

Information

Code CSS228
Name Analyzing and Interpration at GIS
Term 2024-2025 Academic Year
Semester 4. Semester
Duration (T+A) 1-2 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Ön Lisans Dersi
Type Normal
Label VK Vocational Knowledge Courses E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. MAHMUT DİNGİL
Course Instructor Doç. Dr. MAHMUT DİNGİL (A Group) (Ins. in Charge)


Course Goal / Objective

Aimed to provide the ability to deliver the right solutions to spatial analysis problems and also aimed to create the accumulation to interpration of the GIS analysis output.

Course Content

Spatial data collection approaches, data and database integration, determination of right analysis based on data properties, interpretation approaches of analysis outputs , presentation techniques according to the interpretation outcomes

Course Precondition

To know the basic concepts of GIS

Resources

Slides explained in the course and documents and publications related to the subject.

Notes

Publication, article, journal, research describing GIS software.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learn the definition, concept and history of GIS.
LO02 Learn data, information and system concepts within the scope of GIS.
LO03 Understands data types and properties in GIS.
LO04 Learn data collection techniques in GIS.
LO05 Learn the integration of remote sensing into GIS.
LO06 It integrates data into GIS via GPS.
LO07 Learn data integration into GIS through digitization.
LO08 Learn the parameters used in data interpretation.
LO09 Learn visual interpretation and analysis practices.
LO10 Acquires interpretation skills from the computer screen.
LO11 Understands numerical interpretation.
LO12 Acquires numerical interpretation skills.
LO13 Learn numerical classification.
LO14 Performs numerical classification applications.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal In mathematics, science, and issues related to their areas to have adequate infrastructure.
PLO02 Bilgi - Kuramsal, Olgusal Using the basic level knowledge and skills in the field, interpret and evaluate data, identify problems, develop solutions to have the ability.
PLO03 Bilgi - Kuramsal, Olgusal Knows the concepts related to Geographic Information Systems, Knows the use of GIS software 2
PLO04 Bilgi - Kuramsal, Olgusal Awareness of the need for life-long learning, to follow developments in science and technology and continuous self-renewal with the skill.
PLO05 Bilgi - Kuramsal, Olgusal The ability to perform drawings of vocational plans and projects related to the field wins.
PLO06 Bilgi - Kuramsal, Olgusal To show what they have learned and can apply independently to learn in the field of GIS and have the ability to act independently to take risks. 3
PLO07 Beceriler - Bilişsel, Uygulamalı Modern techniques that are necessary on the field, and specify the information technologies and effective tools to use.
PLO08 Beceriler - Bilişsel, Uygulamalı To have knowledge of GIS and produce project and apply knowledge.
PLO09 Beceriler - Bilişsel, Uygulamalı Design using simulation programs related to computer-aided drawing and field and professional plan and gain the ability to perform the drawings of the project.
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Innovations in the field of effective communication techniques and be able to follow the judge to have knowledge of a foreign language.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği To produce a solution for problems related to GIS, to take responsibility for the team or individual it will be equipped with the ability to work. 3
PLO12 Yetkinlikler - Öğrenme Yetkinliği Occupational safety, health and environmental protection, and to be conscious.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Required by the field to be able to use basic computer software and hardware. 4


Week Plan

Week Topic Preparation Methods
1 Definitions, Concepts and History Literature reading Öğretim Yöntemleri:
Anlatım
2 Data, information, systems, GIS Literature reading and course review Öğretim Yöntemleri:
Anlatım
3 Data types in GIS Literature reading and course review Öğretim Yöntemleri:
Anlatım
4 Data collection techniques and integration to system Literature reading and course review Öğretim Yöntemleri:
Anlatım
5 Practices for system integration with remote sensing Literature reading and course review Öğretim Yöntemleri:
Anlatım
6 Practices for system integration with GPS Literature reading and course review Öğretim Yöntemleri:
Anlatım
7 Practices for system integration with digitizing Literature reading and course review Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Literature reading and course review Ölçme Yöntemleri:
Yazılı Sınav
9 Parameters for interpration Literature reading and course review Öğretim Yöntemleri:
Anlatım
10 Practices for visual interpration and analysis Literature reading and course review Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Practices for screen interpration Literature reading and course review Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Digital interpration Literature reading and course review Öğretim Yöntemleri:
Anlatım, Tartışma
13 Numerical interpretation application Literature reading and course review Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Digital classification Literature reading and course review Öğretim Yöntemleri:
Anlatım, Tartışma
15 Practices for digital interpration Literature reading and course review Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Exam preparation apps Literature reading and course review Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Literature reading and course review Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 18.02.2025 03:34