PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
COG 514	GIS APPLICATIONS II	3 + 0	2nd Semester	6

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The usage areas of GIS, GIS methodology, data collection methods, preparation of database will be taught.
Course Content	Its historical development; data collection techniques; data quality, digitization of data; Spatial analysis, network analysis, digital elevation analysis, grid analysis, statistical analysis in GIS; Information presentation and map design in GIS; Environmental, geological, land use (such as forestry and agriculture) of GIS
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	The usage areas of GIS will be learned.
2	Data structure and data processing in Geographic Information Systems will be learned.
3	It will be learned that raster and vector data are processed and mapped.
4	They will learn to do spatial data analysis and statistical analysis.

COURSE'S CONTRIBUTION TO PROGRAM

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	4	56
Mid-terms	1	14	14
Final examination	1	14	14
Presentation / Seminar Preparation	1	14	14
Report / Project	1	14	14
Field Work	14	3	42
Internet Searching/ Library Study	1	1	1
Material Design/Application	1	1	1
Total Work Load ECTS Credit of the Course			156 6

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Spring	1	RAUF BELGE

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
COG 514	GIS APPLICATIONS II	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. RAUF BELGE	rbelge@pau.edu.tr		FEN B0322	%

Goals		The usage areas of GIS, GIS methodology, data collection methods, preparation of database will be taught.
Content		Its historical development; data collection techniques; data quality, digitization of data; Spatial analysis, network analysis, digital elevation analysis, grid analysis, statistical analysis in GIS; Information presentation and map design in GIS; Environmental, geological, land use (such as forestry and agriculture) of GIS

Topics

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student