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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
GEOGRAPHIC INFORMATION SYSTEMS CE402 - 2 + 1 5

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)Assistant Professor Funda Türe Kibar
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Learn the basics, components and applications of Geographic Information Systems (GIS)
2) Gain knowledge of GIS data structures, coordinate systems and data management.
3) Familiarize a GIS software by hands-on experiences.
4) Have an idea about GIS analysis functions and application areas.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNo
COURSE DEFINITIONDefinition and components of GIS, Maps, Map Projection Systems, Spatial Data Models, Spatial Data Structures, Sources of Spatial Data, Spatial Database Models, Creation of a Spatial Database, GIS Database Applications, GIS Software and Hardware, Spatial Data Visualization, Symbolization of Spatial Data, Spatial Queries and Analysis, Civil Engineering Applications, Spatial Programming.
COURSE CONTENTS
WEEKTOPICS
1st Week Introduction to Geographic Information Systems (GIS)
2nd Week GIS Components, Basic Principles, Usage Areas
3rd Week GIS Software
4th Week GIS Applications and toolbar functions, raster and vector data, adding data
5th Week Symbology, labeling, map presentation with GIS Applications
6th Week Selection of geographic data with GIS applications, creating report-graphics, geo-coordinating raster maps
7th Week Data entry and digitization with GIS applications
8th Week Mid-term exam
9th Week Data conversion functions with GIS applications, adding XY data
10th Week Temporal analysis and animation with GIS applications
11th Week Image analysis with GIS applications
12th Week Use of free web-based GIS software
13th Week Cluster analysis with nearest neighbor hierarchy cluster with free web-based GIS software
14th Week Accident hot spot analysis with GIS applications
RECOMENDED OR REQUIRED READINGReference:
Kang-tsung Chang, Introduction to Geographic Information Systems with Data Set CDROM, McGraw-Hill Education; 7 edition (January 31, 2013).
Additional Resources:
Michael N. DeMers
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Discussion,Questions/Answers,Case Study,Problem Solving,Practice,Presentation,Project,Report Preparation,Other
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term135
Assignment220
Attendance15
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam11,51,5
Preparation for Quiz
Individual or group work
Preparation for Final exam13232
Course hours14342
Preparation for Midterm exam12525
Laboratory (including preparation)
Final exam122
Homework31030
Presentation (including preperation)122
Project11515
Total Workload149,5
Total Workload / 304,98
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONEnglish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2LO3LO4
K1      X  
K2      X  
K3      X  
K4  X       X
K5      X  
K6  X       X
K7       
K8  X       X
K9  X   X     X
K10  X   X     X
K11      X